[{"id": "skill:mattpocock/skills/skills/productivity/wait-what", "name": "wait-what", "kind": "skill", "official": false, "desc": "Stop. That last message did not land: re-pitch it.", "repo": "https://github.com/mattpocock/skills/tree/HEAD/skills/productivity/wait-what", "install": ["npx skills add mattpocock/skills --skill wait-what"], "stars": 323337, "pushed": "2026-11-13T08:41:25Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:multica-ai/andrej-karpathy-skills/skills/karpathy-guidelines", "name": "karpathy-guidelines", "kind": "skill", "official": false, "desc": "Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.", "repo": "https://github.com/multica-ai/andrej-karpathy-skills/tree/HEAD/skills/karpathy-guidelines", "install": ["npx skills add multica-ai/andrej-karpathy-skills --skill karpathy-guidelines"], "stars": 232934, "pushed": "2026-04-20T10:05:04Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:anthropics/skills/skills/discernment-nudge", "name": "discernment-nudge", "kind": "skill", "official": true, "desc": "After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, pro", "repo": "https://github.com/anthropics/skills/tree/HEAD/skills/discernment-nudge", "install": ["npx skills add anthropics/skills --skill discernment-nudge"], "stars": 194218, "pushed": "2026-11-06T22:32:32Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/plugin/skills/timeline-report", "name": "timeline-report", "kind": "skill", "official": false, "desc": "Generate a \"Journey Into [Project]\" narrative report analyzing a project's entire development history from claude-mem's timeline. Use when asked for a timeline report, project history analysis, development journey, or full project report.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/plugin/skills/timeline-report", "install": ["npx skills add thedotmack/claude-mem --skill timeline-report"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "claude-mem", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/plugin/skills/weekly-digests", "name": "weekly-digests", "kind": "skill", "official": false, "desc": "Generate a serial week-by-week narrative digest of a project's full claude-mem timeline. Splits the timeline into per-ISO-week files, then runs one consecutive subagent per week — each receiving the prior week's carry-forward block — to produce one chapter per ISO week of data. Use when asked for \"weekly digests\", \"week-by-week story\", \"serial timeline\", or \"narrative chapters\" of a project's history.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/plugin/skills/weekly-digests", "install": ["npx skills add thedotmack/claude-mem --skill weekly-digests"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "claude-mem", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/plugin/skills/what-the", "name": "what-the", "kind": "skill", "official": false, "desc": "What the? Use when the user wants a plain-English breakdown of something technical — the who, what, where, why, and when.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/plugin/skills/what-the", "install": ["npx skills add thedotmack/claude-mem --skill what-the"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ComposioHQ/awesome-claude-skills/composio-skills/docsumo-automation", "name": "docsumo-automation", "kind": "skill", "official": false, "desc": "Automate Docsumo tasks via Rube MCP (Composio). Always search tools first for current schemas.", "repo": "https://github.com/ComposioHQ/awesome-claude-skills/tree/HEAD/composio-skills/docsumo-automation", "install": ["npx skills add ComposioHQ/awesome-claude-skills --skill docsumo-automation"], "stars": 79451, "pushed": "2026-09-18T07:16:11Z", "license": null, "plat": "docsumo", "live": "Not checked (runs locally)"}, {"id": "skill:shanraisshan/claude-code-best-practice/.claude/skills/presentation/vibe-to-agentic-framework", "name": "vibe-to-agentic-framework", "kind": "skill", "official": false, "desc": "The conceptual framework behind the presentation — what \"Vibe Coding to Agentic Engineering\" means, why the journey is structured the way it is, and how every slide fits the narrative arc", "repo": "https://github.com/shanraisshan/claude-code-best-practice/tree/HEAD/.claude/skills/presentation/vibe-to-agentic-framework", "install": ["npx skills add shanraisshan/claude-code-best-practice --skill vibe-to-agentic-framework"], "stars": 69046, "pushed": "2026-11-14T05:05:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:blader/humanizer", "name": "humanizer", "kind": "skill", "official": false, "desc": "Rewrite AI-sounding text so it reads like the writer without changing what it says. Use when editing or reviewing prose for AI tells: not-X-but-Y contrasts, one-line closers, staged openers, forced triads, dashes everywhere, inflated claims, sales language, stock AI words, bold labels, or filler.", "repo": "https://github.com/blader/humanizer", "install": ["npx skills add blader/humanizer --skill humanizer"], "stars": 68896, "pushed": "2026-11-10T01:35:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ayghri/i-have-adhd/.cursor/skills/i-have-adhd", "name": "i-have-adhd", "kind": "skill", "official": false, "desc": "Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific time estimates, make wins visible. Invoke with /i-have-adhd; stays on until \"stop adhd mode\".", "repo": "https://github.com/ayghri/i-have-adhd/tree/HEAD/.cursor/skills/i-have-adhd", "install": ["npx skills add ayghri/i-have-adhd --skill i-have-adhd"], "stars": 61133, "pushed": "2026-10-19T19:46:23Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:coreyhaines31/marketingskills/skills/copy-editing", "name": "copy-editing", "kind": "skill", "official": false, "desc": "When the user wants to edit, tighten, proofread, or refresh existing copy, or asks whether to keep, cut, or change a line in it, without rewriting from scratch. Every edit removes AI tells: 'it's not X, it's Y' reveals, 'no X, no Y, no Z' lists, and sentences that trail into extra comma clauses. A request to fix one line gets a point edit to that line only. For new copy, see copywriting.", "repo": "https://github.com/coreyhaines31/marketingskills/tree/HEAD/skills/copy-editing", "install": ["npx skills add coreyhaines31/marketingskills --skill copy-editing"], "stars": 60203, "pushed": "2026-11-11T17:49:23Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:coreyhaines31/marketingskills/skills/copywriting", "name": "copywriting", "kind": "skill", "official": false, "desc": "When the user wants to write or rewrite page copy (homepage, landing, pricing, feature), or asks which headline, promise, or message to lead with. Diagnoses the input first (blank brief, real voice, or point edit) and changes only what it calls for. Claims must be supportable; a declined claim names the evidence that would unlock it. No AI tells like 'it's not X, it's Y' or 'no X, no Y, no Z'. For editing, see copy-editing. For emails, see emails. For the offer, see offers.", "repo": "https://github.com/coreyhaines31/marketingskills/tree/HEAD/skills/copywriting", "install": ["npx skills add coreyhaines31/marketingskills --skill copywriting"], "stars": 60203, "pushed": "2026-11-11T17:49:23Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/scientific-agent-skills/skills/consciousness-council", "name": "consciousness-council", "kind": "skill", "official": false, "desc": "Structures a multi-perspective council exercise for decisions, research trade-offs, and creative challenges. Simulates thinking archetypes, separates evidence from assumptions and values, and synthesizes a conditional recommendation. Use when the user requests a council, panel, devil's advocate analysis, \"mind council\", or deliberate comparison of perspectives on a difficult choice.", "repo": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/HEAD/skills/consciousness-council", "install": ["npx skills add K-Dense-AI/scientific-agent-skills --skill consciousness-council"], "stars": 57090, "pushed": "2026-11-09T09:17:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/scientific-agent-skills/skills/dhdna-profiler", "name": "dhdna-profiler", "kind": "skill", "official": false, "desc": "Applies the DHDNA framework as an exploratory rubric for reasoning and writing patterns in supplied text. Used for explicit requests for DHDNA, cognitive-style reflection, a thinking-pattern profile, or comparisons of textual reasoning. Scores describe evidence in the sample, not validated psychological traits or personal identity.", "repo": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/HEAD/skills/dhdna-profiler", "install": ["npx skills add K-Dense-AI/scientific-agent-skills --skill dhdna-profiler"], "stars": 57090, "pushed": "2026-11-09T09:17:48Z", "license": "MIT", "plat": "dhdna", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/scientific-agent-skills/skills/experimental-design", "name": "experimental-design", "kind": "skill", "official": false, "desc": "Designs experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, c", "repo": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/HEAD/skills/experimental-design", "install": ["npx skills add K-Dense-AI/scientific-agent-skills --skill experimental-design"], "stars": 57090, "pushed": "2026-11-09T09:17:48Z", "license": "MIT", "plat": "experimental design", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/scientific-agent-skills/skills/hypogenic", "name": "hypogenic", "kind": "skill", "official": false, "desc": "Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine for LLM-assisted hypothesis generation from labeled text datasets. Use for the `hypogenic` package, its task configs, hypothesis banks, or HypoBench datasets—not for manual hypothesis formulation or scientific validation.", "repo": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/HEAD/skills/hypogenic", "install": ["npx skills add K-Dense-AI/scientific-agent-skills --skill hypogenic"], "stars": 57090, "pushed": "2026-11-09T09:17:48Z", "license": "MIT", "plat": "hypogenic", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/scientific-agent-skills/skills/hypothesis-generation", "name": "hypothesis-generation", "kind": "skill", "official": false, "desc": "Formulates evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. Used when turning observations or preliminary findings into transparent, testable research plans without treating hypotheses as facts.", "repo": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/HEAD/skills/hypothesis-generation", "install": ["npx skills add K-Dense-AI/scientific-agent-skills --skill hypothesis-generation"], "stars": 57090, "pushed": "2026-11-09T09:17:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:CherryHQ/cherry-studio/resources/skills/skill-creator", "name": "skill-creator", "kind": "skill", "official": false, "desc": "Create, edit, evaluate, and optimize skills, including benchmarking and description tuning for better triggering.", "repo": "https://github.com/CherryHQ/cherry-studio/tree/HEAD/resources/skills/skill-creator", "install": ["npx skills add CherryHQ/cherry-studio --skill skill-creator"], "stars": 53498, "pushed": "2026-11-14T04:54:41Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Yuan1z0825/nature-skills/skills/nature-polishing", "name": "nature-polishing", "kind": "skill", "official": false, "desc": "Polish, translate, or tighten existing academic prose while preserving facts, terminology, and evidence boundaries. Use for 论文润色、学术翻译、正文精简, or manuscript LaTeX layout fixes. Use nature-writing when the main task is drafting new sections or rebuilding the manuscript argument.", "repo": "https://github.com/Yuan1z0825/nature-skills/tree/HEAD/skills/nature-polishing", "install": ["npx skills add Yuan1z0825/nature-skills --skill nature-polishing"], "stars": 53478, "pushed": "2026-11-13T02:24:21Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Yuan1z0825/nature-skills/skills/nature-response", "name": "nature-response", "kind": "skill", "official": false, "desc": "Draft, audit, or revise responses to peer review, revision cover letters, and marked-manuscript or LaTeX revision packages. Use for 审稿意见回复、逐点回复、返修信、 rebuttals and edits to existing response drafts. Initial-submission materials belong to nature-writing; simulated peer review belongs to nature-reviewer.", "repo": "https://github.com/Yuan1z0825/nature-skills/tree/HEAD/skills/nature-response", "install": ["npx skills add Yuan1z0825/nature-skills --skill nature-response"], "stars": 53478, "pushed": "2026-11-13T02:24:21Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Yuan1z0825/nature-skills/skills/nature-reviewer", "name": "nature-reviewer", "kind": "skill", "official": false, "desc": "Provide evidence-grounded mock peer review of scientific manuscripts or excerpts, covering significance, validity, and major/minor concerns. Use for 模拟审稿、投稿前自审、审稿人视角评估; not author rebuttal drafting.", "repo": "https://github.com/Yuan1z0825/nature-skills/tree/HEAD/skills/nature-reviewer", "install": ["npx skills add Yuan1z0825/nature-skills --skill nature-reviewer"], "stars": 53478, "pushed": "2026-11-13T02:24:21Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Yuan1z0825/nature-skills/skills/nature-statistics", "name": "nature-statistics", "kind": "skill", "official": false, "desc": "Audit or improve manuscript statistical reporting, including experimental units, replication, uncertainty, tests, and figure statistics. Use for 统计审查、统计方法小节、图注统计 and reviewer concerns; compute new analyses only when requested with data.", "repo": "https://github.com/Yuan1z0825/nature-skills/tree/HEAD/skills/nature-statistics", "install": ["npx skills add Yuan1z0825/nature-skills --skill nature-statistics"], "stars": 53478, "pushed": "2026-11-13T02:24:21Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Yuan1z0825/nature-skills/skills/nature-writing", "name": "nature-writing", "kind": "skill", "official": false, "desc": "Draft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to existing prose and nature-response for post-decision correspondence.", "repo": "https://github.com/Yuan1z0825/nature-skills/tree/HEAD/skills/nature-writing", "install": ["npx skills add Yuan1z0825/nature-skills --skill nature-writing"], "stars": 53478, "pushed": "2026-11-13T02:24:21Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Yuan1z0825/nature-skills/skills/nature-proposal-writer", "name": "researchwrite", "kind": "skill", "official": false, "desc": "Compose, revise, or audit research proposals, opening reports, and research plans from supporting evidence. Use for 研究计划、开题报告、科研项目申请书. Invoked as researchwrite for compatibility; use nature-writing for general manuscript sections.", "repo": "https://github.com/Yuan1z0825/nature-skills/tree/HEAD/skills/nature-proposal-writer", "install": ["npx skills add Yuan1z0825/nature-skills --skill researchwrite"], "stars": 53478, "pushed": "2026-11-13T02:24:21Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sickn33/agentic-awesome-skills/plugins/aasb-aas-observability-ir/skills/ai-sre-incident-response", "name": "ai-sre-incident-response", "kind": "skill", "official": false, "desc": "Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.", "repo": "https://github.com/sickn33/agentic-awesome-skills/tree/HEAD/plugins/aasb-aas-observability-ir/skills/ai-sre-incident-response", "install": ["npx skills add sickn33/agentic-awesome-skills --skill ai-sre-incident-response"], "stars": 49672, "pushed": "2026-11-13T22:02:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sickn33/agentic-awesome-skills/plugins/aasb-aas-agent-mcp-builder/skills/context-window-management", "name": "context-window-management", "kind": "skill", "official": false, "desc": "Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot", "repo": "https://github.com/sickn33/agentic-awesome-skills/tree/HEAD/plugins/aasb-aas-agent-mcp-builder/skills/context-window-management", "install": ["npx skills add sickn33/agentic-awesome-skills --skill context-window-management"], "stars": 49672, "pushed": "2026-11-13T22:02:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sickn33/agentic-awesome-skills/plugins/aasb-aas-agent-mcp-builder/skills/llm-evaluation", "name": "llm-evaluation", "kind": "skill", "official": false, "desc": "Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.", "repo": "https://github.com/sickn33/agentic-awesome-skills/tree/HEAD/plugins/aasb-aas-agent-mcp-builder/skills/llm-evaluation", "install": ["npx skills add sickn33/agentic-awesome-skills --skill llm-evaluation"], "stars": 49672, "pushed": "2026-11-13T22:02:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "plugin:anthropics/claude-plugins-official:explanatory-output-style", "name": "explanatory-output-style", "kind": "claude-plugin", "official": null, "desc": "Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)", "repo": "https://github.com/anthropics/claude-plugins-official", "install": ["claude plugin install explanatory-output-style@claude-plugins-official"], "stars": 47064, "pushed": "2026-11-13T01:14:19Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "plugin:anthropics/claude-plugins-official:math-olympiad", "name": "math-olympiad", "kind": "claude-plugin", "official": null, "desc": "Solve competition math (IMO, Putnam, USAMO) with adversarial verification that catches what self-verification misses. Fresh-context verifiers attack proofs with specific failure patterns. Calibrated abstention over bluffing.", "repo": "https://github.com/anthropics/claude-plugins-official", "install": ["claude plugin install math-olympiad@claude-plugins-official"], "stars": 47064, "pushed": "2026-11-13T01:14:19Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:anthropics/claude-plugins-official/plugins/math-olympiad/skills/math-olympiad", "name": "math-olympiad", "kind": "skill", "official": true, "desc": "\"Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof correct', or for any problem with 'IMO', 'Putnam', 'USAMO', 'olympiad', or 'competition math' in it. Uses pure reasoning (no tools) — then a fresh-context adversarial verifier attacks the proof using spe", "repo": "https://github.com/anthropics/claude-plugins-official/tree/HEAD/plugins/math-olympiad/skills/math-olympiad", "install": ["npx skills add anthropics/claude-plugins-official --skill math-olympiad"], "stars": 47064, "pushed": "2026-11-13T01:14:19Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "plugin:anthropics/claude-plugins-official:security-guidance", "name": "security-guidance", "kind": "claude-plugin", "official": null, "desc": "Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.", "repo": "https://github.com/anthropics/claude-plugins-official", "install": ["claude plugin install security-guidance@claude-plugins-official"], "stars": 47064, "pushed": "2026-11-13T01:14:19Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:anthropics/claude-plugins-official/plugins/math-proof/skills/siege", "name": "siege", "kind": "skill", "official": true, "desc": "Work on one hard mathematics problem in rounds: each round a judge writes a few self-contained questions, independent workers answer them, and the judge keeps a ledger of what is proved, refuted and open, until the judge concludes or the rounds run out, and then a proof.md says plainly what is and is not proved. A run takes hours and dozens of worker runs. Usage: /math-proof:siege [NAME=value settings] <the problem, stated in full, or the path of a file holding it>.", "repo": "https://github.com/anthropics/claude-plugins-official/tree/HEAD/plugins/math-proof/skills/siege", "install": ["npx skills add anthropics/claude-plugins-official --skill siege"], "stars": 47064, "pushed": "2026-11-13T01:14:19Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:anthropics/claude-plugins-official/plugins/math-proof/skills/solo", "name": "solo", "kind": "skill", "official": true, "desc": "Work on one hard mathematics problem in this session yourself, with no sub-agents: reason in stages, record each settled step in a notes file so that nothing written is lost if a response is cut off, and end with a self-contained proof.md. Usage: /math-proof:solo <the problem, stated in full, or the path of a file holding it>.", "repo": "https://github.com/anthropics/claude-plugins-official/tree/HEAD/plugins/math-proof/skills/solo", "install": ["npx skills add anthropics/claude-plugins-official --skill solo"], "stars": 47064, "pushed": "2026-11-13T01:14:19Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:wshobson/agents/plugins/skill-forge-essentials/skills/ai-debt-detector", "name": "ai-debt-detector", "kind": "skill", "official": false, "desc": "Use after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the specific failure patterns AI agents produce that humans would not.", "repo": "https://github.com/wshobson/agents/tree/HEAD/plugins/skill-forge-essentials/skills/ai-debt-detector", "install": ["npx skills add wshobson/agents --skill ai-debt-detector"], "stars": 42495, "pushed": "2026-11-09T01:08:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wshobson/agents/plugins/llm-application-dev/skills/prompt-engineering-patterns", "name": "prompt-engineering-patterns", "kind": "skill", "official": false, "desc": "This skill should be used when the user asks to \"optimize a prompt\", \"improve prompt performance\", \"design a prompt template\", \"write better prompts\", \"debug prompt issues\", \"use chain-of-thought\", \"structured prompting\", \"few-shot prompting\", or wants to apply advanced prompt engineering patterns for production LLM applications.", "repo": "https://github.com/wshobson/agents/tree/HEAD/plugins/llm-application-dev/skills/prompt-engineering-patterns", "install": ["npx skills add wshobson/agents --skill prompt-engineering-patterns"], "stars": 42495, "pushed": "2026-11-09T01:08:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:patchy631/ai-engineering-hub", "name": "ai-engineering-hub", "kind": "mcp", "official": null, "desc": "In-depth tutorials on LLMs, RAGs and real-world AI agent applications.", "repo": "https://github.com/patchy631/ai-engineering-hub", "install": [], "stars": 41863, "pushed": null, "license": null, "plat": "llms", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/agentic-eval", "name": "agentic-eval", "kind": "skill", "official": false, "desc": "Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/agentic-eval", "install": ["npx skills add github/awesome-copilot --skill agentic-eval"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/boost-prompt", "name": "boost-prompt", "kind": "skill", "official": false, "desc": "Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/boost-prompt", "install": ["npx skills add github/awesome-copilot --skill boost-prompt"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "joyride", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/build-evidence-map", "name": "build-evidence-map", "kind": "skill", "official": false, "desc": "Build an auditable evidence map for a contested technical choice, research synthesis, proposal review, or consequential decision. Use when Copilot must preserve supporting, contradicting, qualifying, and missing evidence with exact source regions instead of collapsing disagreement into prose.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/build-evidence-map", "install": ["npx skills add github/awesome-copilot --skill build-evidence-map"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/diagnose", "name": "diagnose", "kind": "skill", "official": false, "desc": "Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/diagnose", "install": ["npx skills add github/awesome-copilot --skill diagnose"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/doublecheck", "name": "doublecheck", "kind": "skill", "official": false, "desc": "Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/doublecheck", "install": ["npx skills add github/awesome-copilot --skill doublecheck"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/eval-driven-dev", "name": "eval-driven-dev", "kind": "skill", "official": false, "desc": "Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/eval-driven-dev", "install": ["npx skills add github/awesome-copilot --skill eval-driven-dev"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/finalize-agent-prompt", "name": "finalize-agent-prompt", "kind": "skill", "official": false, "desc": "Finalize prompt file using the role of an AI agent to polish the prompt for the end user.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/finalize-agent-prompt", "install": ["npx skills add github/awesome-copilot --skill finalize-agent-prompt"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/finnish-humanizer", "name": "finnish-humanizer", "kind": "skill", "official": false, "desc": "Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to \"humanize\", \"naturalize\", or \"remove AI feel\" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/finnish-humanizer", "install": ["npx skills add github/awesome-copilot --skill finnish-humanizer"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/from-the-other-side-anitta", "name": "from-the-other-side-anitta", "kind": "skill", "official": false, "desc": "Rigorous challenge profile for Anitta: assumption checks, evidence calibration, and defensible reasoning patterns for Ember collaboration.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/from-the-other-side-anitta", "install": ["npx skills add github/awesome-copilot --skill from-the-other-side-anitta"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/from-the-other-side-quinn", "name": "from-the-other-side-quinn", "kind": "skill", "official": false, "desc": "Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/from-the-other-side-quinn", "install": ["npx skills add github/awesome-copilot --skill from-the-other-side-quinn"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/from-the-other-side-vega", "name": "from-the-other-side-vega", "kind": "skill", "official": false, "desc": "Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/from-the-other-side-vega", "install": ["npx skills add github/awesome-copilot --skill from-the-other-side-vega"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/from-the-other-side-wiggins", "name": "from-the-other-side-wiggins", "kind": "skill", "official": false, "desc": "Narrative and synthesis profile for Wiggins: framing, explanation, and audience-aware communication patterns for Ember sessions.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/from-the-other-side-wiggins", "install": ["npx skills add github/awesome-copilot --skill from-the-other-side-wiggins"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/mentoring-juniors", "name": "mentoring-juniors", "kind": "skill", "official": false, "desc": "Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: \"help me understand\", \"explain this code\", \"I''m stuck\", \"Im stuck\", \"I''m confused\", \"Im confused\", \"I don''t understand\", \"I dont understand\", \"can you teach me\", \"teach me\", \"mentor me\", \"guide me\", \"what does this error mean\", \"why doesn''t this work\", \"why does not this work\", \"I''m a beginner\", \"Im a beginner\", \"I''m learning\", \"Im learning\", \"I''m new to this\", \"Im new to this\", \"", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/mentoring-juniors", "install": ["npx skills add github/awesome-copilot --skill mentoring-juniors"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/noob-mode", "name": "noob-mode", "kind": "skill", "official": false, "desc": "Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/noob-mode", "install": ["npx skills add github/awesome-copilot --skill noob-mode"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "copilot cli", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/andrej-karpathy-perspective", "name": "andrej-karpathy-perspective", "kind": "skill", "official": false, "desc": "Andrej Karpathy的思维框架与表达方式。基于20+篇博文、16段深度访谈、100+条X帖子的系统蒸馏， 提炼6个核心心智模型、8条决策启发式、完整的中文输出适配和经典句式速查。 用途：作为思维顾问，用Karpathy的视角分析AI技术可靠性、学习方法、行业趋势、产品设计。 当用户提到「用Karpathy的视角」「Karpathy会怎么看」「卡帕西」「karpathy模式」时使用。 也适用于：Software 2.0/3.0讨论、vibe coding话题、神经网络训练、AI炒作判断、LLM能力边界。 即使用户只是说「从工程现实主义角度」「march of nines」「构建即理解」「锯齿状智能」也可触发。 不在用户只是普通问AI相关问题时触发——只在明确想要Karpathy式思维框架时激活。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/andrej-karpathy-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill andrej-karpathy-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "andrej karpathy", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/elon-musk-perspective", "name": "elon-musk-perspective", "kind": "skill", "official": false, "desc": "马斯克的思维操作系统。基于传记、播客、推文、法庭证词、决策记录和外部批评的深度调研， 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 用途：作为思维顾问，用马斯克的视角分析问题、审视决策、拆解成本结构、挑战行业假设。 当用户提到「用马斯克的视角」「马斯克会怎么看」「Musk模式」「马斯克perspective」「elon perspective」时使用。 即使用户只是说「这个成本合理吗」「从第一性原理想想」「白痴指数是多少」「五步算法」「能不能垂直整合」也可触发。 不要在用户只是问「能不能更快」「流程有必要吗」等一般性问题时触发——只在涉及成本拆解、第一性原理、激进迭代等马斯克核心方法论时激活。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/elon-musk-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill elon-musk-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "elon musk", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/feynman-perspective", "name": "feynman-perspective", "kind": "skill", "official": false, "desc": "理查德·费曼的思维框架与表达方式。基于40+个一手来源的深度调研， 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 用途：作为思维顾问，用费曼的视角分析问题、审视决策、提供反馈。 当用户提到「用费曼的视角」「费曼会怎么看」「费曼模式」「feynman perspective」「费曼学习法」时使用。 即使用户只是说「这是不是cargo cult」「命名不等于理解」「能不能做个演示替代论证」「我真的理解了还是只记住了名字」也可触发。 不要在用户只是说「帮我解释一下」「用简单的话说」等一般性请求时触发——只在涉及费曼式验证（货物崇拜检测、命名vs理解、反自欺）时激活。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/feynman-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill feynman-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "richard feynman", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill", "name": "huashu-nuwa", "kind": "skill", "official": false, "desc": "女娲造人：输入人名/主题/甚至只是模糊需求，自动深度调研→思维框架提炼→生成可运行的人物Skill。 两种入口：(1)明确人名→直接蒸馏 (2)模糊需求→诊断推荐→再蒸馏。 触发词：「造skill」「蒸馏XX」「女娲」「造人」「XX的思维方式」「做个XX视角」「更新XX的skill」「升级XX的skill」。 模糊需求也触发：「我想提升决策质量」「有没有一种思维方式能帮我...」「我需要一个思维顾问」。 English triggers: \"distill [person]\", \"nuwa\", \"create a [person] perspective skill\", \"how does [person] think\", \"I need a thinking advisor\".", "repo": "https://github.com/alchaincyf/nuwa-skill", "install": ["npx skills add alchaincyf/nuwa-skill --skill huashu-nuwa"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "skill", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/ilya-sutskever-perspective", "name": "ilya-sutskever-perspective", "kind": "skill", "official": false, "desc": "Ilya Sutskever的思维框架与表达方式。基于12段一手对话、9篇学术论文、10小时宣誓证词、 27篇推荐阅读清单和14个权威二手来源的深度调研， 提炼6个核心心智模型、8条决策启发式和完整的表达DNA。 用途：作为思维顾问，用Ilya的视角分析AI技术方向、安全策略、研究品味。 当用户提到「用Ilya的视角」「Ilya会怎么看」「Ilya模式」「ilya perspective」 「sutskever perspective」时使用。 即使用户只是说「帮我用Ilya的角度想想」「如果Ilya会怎么做」「切换到Ilya」也应触发。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/ilya-sutskever-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill ilya-sutskever-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "ilya sutskever", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/mrbeast-perspective", "name": "mrbeast-perspective", "kind": "skill", "official": false, "desc": "MrBeast（Jimmy Donaldson）的内容创造操作系统。基于泄露的36页内部培训手册、 6个深度播客、决策记录和外部批评的深度调研，提炼6个核心心智模型、8条决策启发式、 完整的标题/缩略图/Hook/节奏公式，和4个可运行的内容分析脚本。 激活后沉浸式扮演MrBeast，直接以「我」的视角给出内容创作建议。 当用户提到「用MrBeast的视角」「MrBeast会怎么做」「Beast模式」「mrbeast perspective」时使用。 即使用户只是说「视频CTR怎么提升」「标题不够吸引人」「retention曲线怎么优化」「缩略图要改吗」也应触发。 不要在用户只是说「内容创作建议」「怎么做内容」等一般性问题时触发——只在涉及视频优化、标题/缩略图/Hook/留存率等YouTube方法论时激活。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/mrbeast-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill mrbeast-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "mrbeast", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/munger-perspective", "name": "munger-perspective", "kind": "skill", "official": false, "desc": "芒格的视角：逆向思考、认知偏误、跨学科分析、投资决策审视。说「用芒格的视角」「逆向思考一下」「这有什么认知偏误」「Lollapalooza效应」「能力圈之外」「激励结构是什么」时触发。泛泛的「这个决策靠谱吗」不要触发。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/munger-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill munger-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "charlie munger", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/naval-perspective", "name": "naval-perspective", "kind": "skill", "official": false, "desc": "Naval Ravikant的思维操作系统。基于著作、播客、推文、决策记录和外部批评的深度调研， 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 激活后沉浸式扮演Naval，直接以「我」的视角回应问题。 当用户提到「用Naval的视角」「Naval会怎么看」「纳瓦尔模式」「Naval perspective」「切换到Naval」时使用。 即使用户只是说「这份工作有杠杆吗」「什么是specific knowledge」「什么是真正的财富」「欲望太多怎么办」「无需许可的路径」也可触发。 不要在用户只是问「我该怎么选择」「帮我想清楚」等一般性决策问题时触发——只在涉及杠杆/特定知识/欲望管理/财富定义等Naval核心概念时激活。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/naval-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill naval-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "naval ravikant", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/paul-graham-perspective", "name": "paul-graham-perspective", "kind": "skill", "official": false, "desc": "Paul Graham的思维框架与表达方式。基于200+篇essays、12个播客/访谈、 Twitter/X分析、7位核心批评者视角和完整人生时间线的深度调研， 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 用途：作为思维顾问，用PG的视角分析创业、写作、产品和人生选择。 当用户提到「用PG的视角」「Paul Graham会怎么看」「PG模式」「paul graham perspective」时使用。 即使用户只是说「帮我用PG的角度想想」「如果PG会怎么做」「切换到PG」也应触发。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/paul-graham-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill paul-graham-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "paul graham", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/steve-jobs-perspective", "name": "steve-jobs-perspective", "kind": "skill", "official": false, "desc": "乔布斯的视角：产品判断与评审、取舍决策、对人对事的直接反馈。说「用乔布斯的视角」「乔布斯会怎么看」「切换到乔布斯」「让乔布斯评一下」时使用；不在一般性问题上自动触发。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/steve-jobs-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill steve-jobs-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "steve jobs", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/sun-yuchen-perspective", "name": "sun-yuchen-perspective", "kind": "skill", "official": false, "desc": "孙宇晨（Justin Sun / 孙割）的思维框架与行为逻辑。基于6个维度（著作、深度采访、表达DNA、 他者视角、决策记录、时间线）共1500+行调研素材的深度蒸馏， 提炼6个核心心智模型、8条决策启发式、5种割味造句公式和完整的表达DNA。 用途：作为思维顾问，用孙宇晨的视角分析营销策略、注意力经济、危机公关、叙事操控、蹭热点方法论。 割味十足的角色扮演——自大、暴论、碰瓷、数字轰炸、成功学底色。 当用户提到「用孙宇晨的视角」「孙割会怎么做」「孙宇晨模式」「Justin Sun perspective」「割神」时使用。 即使用户只是说「帮我用孙割的角度想想」「如果孙宇晨会怎么操作」「切换到割神」「用割的视角」也应触发。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/sun-yuchen-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill sun-yuchen-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "sun yuchen", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/nuwa-skill/examples/taleb-perspective", "name": "taleb-perspective", "kind": "skill", "official": false, "desc": "塔勒布(Nassim Nicholas Taleb)的思维框架与表达方式。基于40+个来源的深度调研， 提炼6个核心心智模型、9条决策启发式和完整的表达DNA。 用途：作为思维顾问，用塔勒布的视角分析问题、审视决策、质疑主流叙事。 当用户提到「用塔勒布的视角」「塔勒布会怎么看」「塔勒布模式」「反脆弱视角」「taleb perspective」时使用。 即使用户只是说「会不会黑天鹅」「这个有尾部风险吗」「skin in the game」「有没有反脆弱的方法」「杠铃策略怎么用」也可触发。 不要在用户只是做一般风险评估或问「靠不靠谱」时触发——只在涉及极端风险、反脆弱、预防原则等塔勒布核心概念时激活。", "repo": "https://github.com/alchaincyf/nuwa-skill/tree/HEAD/examples/taleb-perspective", "install": ["npx skills add alchaincyf/nuwa-skill --skill taleb-perspective"], "stars": 38247, "pushed": "2026-11-10T00:41:13Z", "license": "MIT", "plat": "nassim nicholas taleb", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/behavioral-modes", "name": "behavioral-modes", "kind": "skill", "official": false, "desc": "AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/behavioral-modes", "install": ["npx skills add davila7/claude-code-templates --skill behavioral-modes"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/context-window-management", "name": "context-window-management", "kind": "skill", "official": false, "desc": "Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/context-window-management", "install": ["npx skills add davila7/claude-code-templates --skill context-window-management"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/mechanistic-interpretability-nnsight", "name": "mechanistic-interpretability-nnsight", "kind": "skill", "official": false, "desc": "Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/mechanistic-interpretability-nnsight", "install": ["npx skills add davila7/claude-code-templates --skill mechanistic-interpretability-nnsight"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/mechanistic-interpretability-pyvene", "name": "mechanistic-interpretability-pyvene", "kind": "skill", "official": false, "desc": "Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/mechanistic-interpretability-pyvene", "install": ["npx skills add davila7/claude-code-templates --skill mechanistic-interpretability-pyvene"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/mechanistic-interpretability-saelens", "name": "mechanistic-interpretability-saelens", "kind": "skill", "official": false, "desc": "Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/mechanistic-interpretability-saelens", "install": ["npx skills add davila7/claude-code-templates --skill mechanistic-interpretability-saelens"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/mechanistic-interpretability-transformer-lens", "name": "mechanistic-interpretability-transformer-lens", "kind": "skill", "official": false, "desc": "Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/mechanistic-interpretability-transformer-lens", "install": ["npx skills add davila7/claude-code-templates --skill mechanistic-interpretability-transformer-lens"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-maestro/planning", "name": "planning", "kind": "skill", "official": false, "desc": "Create and manage persistent markdown planning files for structured task execution. Use when the user asks to \"create a plan\", \"track progress\", \"start a research project\", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-maestro/planning", "install": ["npx skills add davila7/claude-code-templates --skill planning"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/prompt-caching", "name": "prompt-caching", "kind": "skill", "official": false, "desc": "Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/prompt-caching", "install": ["npx skills add davila7/claude-code-templates --skill prompt-caching"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "prompt caching", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/prompt-engineer", "name": "prompt-engineer", "kind": "skill", "official": false, "desc": "Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt design.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/prompt-engineer", "install": ["npx skills add davila7/claude-code-templates --skill prompt-engineer"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/prompt-engineering-guidance", "name": "prompt-engineering-guidance", "kind": "skill", "official": false, "desc": "Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/prompt-engineering-guidance", "install": ["npx skills add davila7/claude-code-templates --skill prompt-engineering-guidance"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "guidance", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/prompt-engineering-instructor", "name": "prompt-engineering-instructor", "kind": "skill", "official": false, "desc": "Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/prompt-engineering-instructor", "install": ["npx skills add davila7/claude-code-templates --skill prompt-engineering-instructor"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "instructor", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/prompt-engineering-outlines", "name": "prompt-engineering-outlines", "kind": "skill", "official": false, "desc": "Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/prompt-engineering-outlines", "install": ["npx skills add davila7/claude-code-templates --skill prompt-engineering-outlines"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "outlines", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/prompt-engineering-patterns", "name": "prompt-engineering-patterns", "kind": "skill", "official": false, "desc": "Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/prompt-engineering-patterns", "install": ["npx skills add davila7/claude-code-templates --skill prompt-engineering-patterns"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/prompt-library", "name": "prompt-library", "kind": "skill", "official": false, "desc": "Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/prompt-library", "install": ["npx skills add davila7/claude-code-templates --skill prompt-library"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering/behuman/skills/behuman", "name": "behuman", "kind": "skill", "official": false, "desc": "Reply like a real person, direct and warm, without lists or hedging. Use whenever the user says you sound robotic, asks you to be real or talk like a person, wants mirror mode, or is going through grief, job loss or fear. Not for code or factual lookups.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering/behuman/skills/behuman", "install": ["npx skills add alirezarezvani/claude-skills --skill behuman"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering/caveman/skills/caveman", "name": "caveman", "kind": "skill", "official": false, "desc": "Terse mode: drop filler, articles and pleasantries, keep technical accuracy, about 75% fewer tokens, and stay in it. Load whenever the user asks for fewer words, shorter answers, less tokens, caveman mode or /caveman.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering/caveman/skills/caveman", "install": ["npx skills add alirezarezvani/claude-skills --skill caveman"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering-team/skills/engineering-skills", "name": "engineering-skills", "kind": "skill", "official": false, "desc": "Find which engineering skill fits a task: architecture, frontend, backend, QA, DevOps, security, AI/ML, data, cloud. Use whenever the user is unsure which skill to use; load only that one.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering-team/skills/engineering-skills", "install": ["npx skills add alirezarezvani/claude-skills --skill engineering-skills"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering-team/skills/named-persona-adversarial-review", "name": "named-persona-adversarial-review", "kind": "skill", "official": false, "desc": "Use when a PR has architectural or UX impact, or automated review feels generic, and you want it reviewed through named engineers' documented views (Torvalds, Thompson, Carmack, Beck, Jobs, Cagan). Cites the source for each persona's critique.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering-team/skills/named-persona-adversarial-review", "install": ["npx skills add alirezarezvani/claude-skills --skill named-persona-adversarial-review"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering-team/skills/senior-architect", "name": "senior-architect", "kind": "skill", "official": false, "desc": "System architecture decisions with a written rationale: monolith vs microservices, database choice, scaling limits, ADRs, Mermaid diagrams. Load whenever the user asks should we split, which database, will it scale, or wants an ADR.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering-team/skills/senior-architect", "install": ["npx skills add alirezarezvani/claude-skills --skill senior-architect"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering-team/skills/senior-data-scientist", "name": "senior-data-scientist", "kind": "skill", "official": false, "desc": "Design experiments and analyze tabular data: A/B tests, causal inference, feature engineering, model evaluation. Use whenever the user asks how to set up or read an A/B test, whether a change caused a lift, which features to build, or how good a model is.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering-team/skills/senior-data-scientist", "install": ["npx skills add alirezarezvani/claude-skills --skill senior-data-scientist"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering-team/skills/senior-fullstack", "name": "senior-fullstack", "kind": "skill", "official": false, "desc": "Start a fullstack project or audit a codebase: pick a stack (Next.js, FastAPI, MERN, Django), scaffold it and score code quality. Use whenever the user asks which stack to use, wants a new web app set up, or asks how good or messy their codebase is.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering-team/skills/senior-fullstack", "install": ["npx skills add alirezarezvani/claude-skills --skill senior-fullstack"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering-team/skills/senior-prompt-engineer", "name": "senior-prompt-engineer", "kind": "skill", "official": false, "desc": "Improve prompts and measure LLM quality: fix inconsistent prompts, build eval sets, score RAG retrieval, check agent tool configs. Use whenever the user's prompt, chatbot or RAG answers are unreliable or they ask how to test them.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering-team/skills/senior-prompt-engineer", "install": ["npx skills add alirezarezvani/claude-skills --skill senior-prompt-engineer"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering-team/skills/tech-stack-evaluator", "name": "tech-stack-evaluator", "kind": "skill", "official": false, "desc": "Compare frameworks or tech stacks before committing: side-by-side scoring, total cost of ownership, ecosystem health and migration risk. Use whenever the user asks which framework to pick, X vs Y, whether to switch stacks, or if a migration is worth it.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering-team/skills/tech-stack-evaluator", "install": ["npx skills add alirezarezvani/claude-skills --skill tech-stack-evaluator"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:yikart/AiToEarn/project/aitoearn-backend/.agents/skills/caveman", "name": "caveman", "kind": "skill", "official": false, "desc": "Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says \"caveman mode\", \"talk like caveman\", \"use caveman\", \"less tokens\", \"be brief\", or invokes /caveman.", "repo": "https://github.com/yikart/AiToEarn/tree/HEAD/project/aitoearn-backend/.agents/skills/caveman", "install": ["npx skills add yikart/AiToEarn --skill caveman"], "stars": 27717, "pushed": "2026-11-12T07:35:19Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:yikart/AiToEarn/project/aitoearn-backend/.agents/skills/zoom-out", "name": "zoom-out", "kind": "skill", "official": false, "desc": "Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.", "repo": "https://github.com/yikart/AiToEarn/tree/HEAD/project/aitoearn-backend/.agents/skills/zoom-out", "install": ["npx skills add yikart/AiToEarn --skill zoom-out"], "stars": 27717, "pushed": "2026-11-12T07:35:19Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:JimLiu/baoyu-skills/skills/baoyu-translate", "name": "baoyu-translate", "kind": "skill", "official": false, "desc": "This skill should be used when the user asks to \"translate\", \"翻译\", \"精翻\", \"translate article\", \"translate to Chinese\", \"translate to English\", \"改成中文\", \"改成英文\", \"convert to Chinese\", \"localize\", \"本地化\", \"refined translation\", \"精细翻译\", \"proofread translation\", \"快速翻译\", \"快翻\", \"这篇文章翻译一下\", or provides a URL/file with translation intent. Supports three modes (quick/normal/refined) with custom glossary support.", "repo": "https://github.com/JimLiu/baoyu-skills/tree/HEAD/skills/baoyu-translate", "install": ["npx skills add JimLiu/baoyu-skills --skill baoyu-translate"], "stars": 27533, "pushed": "2026-11-06T17:20:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:guillaumemeyer/watermarks-remover/skills/clean-user-facing-text", "name": "clean-user-facing-text", "kind": "skill", "official": false, "desc": "Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting prose while preserving facts, meaning, and the writer's voice. Use when the user asks to clean, humanize, polish, or finalize articles, manuscripts, reports, documentation, emails, product copy, UI text, Markdown, or HTML prose, or when a project rule or instruction file explicitly requires this workflow. Don't use for code-only tasks or undisclosed authorship evasion; ", "repo": "https://github.com/guillaumemeyer/watermarks-remover/tree/HEAD/skills/clean-user-facing-text", "install": ["npx skills add guillaumemeyer/watermarks-remover --skill clean-user-facing-text"], "stars": 27381, "pushed": "2026-11-09T20:25:47Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:guillaumemeyer/watermarks-remover/skills/remove-ai-marks", "name": "remove-ai-marks", "kind": "skill", "official": false, "desc": "Remove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B, always offer), and C2PA/EXIF/XMP/container metadata on PNG/JPEG/WebP/SVG/PDF/DOCX/ODT/HTML/MD/TEX. Covers Claude, Gemini/SynthID-class, OpenAI provenance, and open-LLM sampling marks. Use when the user asks to strip watermarks, remove C2PA/Content Credentials, clean AI metadata, remove invisible Unicode, anti-detect clean AI output, or runs /remove-ai-marks (aliases: /remove-cl", "repo": "https://github.com/guillaumemeyer/watermarks-remover/tree/HEAD/skills/remove-ai-marks", "install": ["npx skills add guillaumemeyer/watermarks-remover --skill remove-ai-marks"], "stars": 27381, "pushed": "2026-11-09T20:25:47Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:NVIDIA/SkillSpector/skills/skill-inspector", "name": "skill-inspector", "kind": "skill", "official": false, "desc": "Review AI agent skills before installation using NVIDIA SkillSpector and source-aware semantic review. Use when asked whether a skill or downloaded skill folder is safe, trustworthy, installable, over-permissioned, or malicious.", "repo": "https://github.com/NVIDIA/SkillSpector/tree/HEAD/skills/skill-inspector", "install": ["npx skills add NVIDIA/SkillSpector --skill skill-inspector"], "stars": 25921, "pushed": "2026-11-14T04:49:48Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "plugin:anthropics/claude-plugins-official:deepeval", "name": "deepeval", "kind": "claude-plugin", "official": null, "desc": "Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.", "repo": "https://github.com/confident-ai/deepeval.git", "install": ["claude plugin install deepeval@claude-plugins-official"], "stars": 19468, "pushed": "2026-11-12T23:21:12Z", "license": "Apache-2.0", "plat": "deepeval", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/analyze-results", "name": "analyze-results", "kind": "skill", "official": false, "desc": "Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says \"analyze results\", \"compare\", or needs to interpret experimental data.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/analyze-results", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill analyze-results"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex-gemini-review/idea-creator", "name": "idea-creator", "kind": "skill", "official": false, "desc": "Generate and rank research ideas given a broad direction. Use when user says \\\"\\u627eidea\\\", \\\"brainstorm ideas\\\", \\\"generate research ideas\\\", \\\"what can we work on\\\", or wants to explore a research area for publishable directions.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/skills-codex-gemini-review/idea-creator", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill idea-creator"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/meta-optimize", "name": "meta-optimize", "kind": "skill", "official": false, "desc": "Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says \\\"优化技能\\\", \\\"meta optimize\\\", \\\"improve skills\\\", \\\"分析使用记录\\\", or wants to optimize ARIS's own harness components based on accumulated experience.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/meta-optimize", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill meta-optimize"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/paper-plan", "name": "paper-plan", "kind": "skill", "official": false, "desc": "Generate a structured paper outline from review conclusions and experiment results. Use when user says \\\"写大纲\\\", \\\"paper outline\\\", \\\"plan the paper\\\", \\\"论文规划\\\", or wants to create a paper plan before writing.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/paper-plan", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill paper-plan"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/proof-checker", "name": "proof-checker", "kind": "skill", "official": false, "desc": "Rigorous mathematical proof verification and fixing workflow. Reads a LaTeX proof, identifies gaps via cross-model review (external reviewer backend, ultra reasoning), fixes each gap with full derivations, re-reviews, and generates an audit report. Use when user says \"检查证明\", \"verify proof\", \"proof check\", \"审证明\", \"check this proof\", or wants rigorous mathematical verification of a theory paper.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/proof-checker", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill proof-checker"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/proof-writer", "name": "proof-writer", "kind": "skill", "official": false, "desc": "Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, \\u8865\\u5168\\u8bc1\\u660e, \\u5199\\u8bc1\\u660e, \\u8bc1\\u660e\\u67d0\\u4e2a\\u547d\\u9898, or determine whether a claimed proof can actually be completed under the stated assumptions.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/skills-codex/proof-writer", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill proof-writer"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/proof-writer", "name": "proof-writer", "kind": "skill", "official": false, "desc": "Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/proof-writer", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill proof-writer"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/research-refine", "name": "research-refine", "kind": "skill", "official": false, "desc": "Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-6-Astra review. Use when the user says \"refine my approach\", \"帮我细化方案\", \"decompose this problem\", \"打磨idea\", \"refine research plan\", \"细化研究方案\", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/research-refine", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill research-refine"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex-claude-review/research-refine", "name": "research-refine", "kind": "skill", "official": false, "desc": "Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative Claude review. Use when the user says \\\"refine my approach\\\", \\\"帮我细化方案\\\", \\\"decompose this problem\\\", \\\"打磨idea\\\", \\\"refine research plan\\\", \\\"细化研究方案\\\", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/skills-codex-claude-review/research-refine", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill research-refine"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/result-to-claim", "name": "result-to-claim", "kind": "skill", "official": false, "desc": "Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/result-to-claim", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill result-to-claim"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/result-to-claim", "name": "result-to-claim", "kind": "skill", "official": false, "desc": "Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. A secondary Codex agent evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/skills-codex/result-to-claim", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill result-to-claim"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:google/elephant-goldfish-model/skills/egm-brainstorm", "name": "egm-brainstorm", "kind": "skill", "official": false, "desc": "Interactive ideation and brainstorming skill for the Elephant & Goldfish Model (EGM). Helps turn half-baked concepts into structured hypotheses via clarifying questions, review, and iterative refinement. Produces an RFC summary for human review or more detailed design with egm-draft.", "repo": "https://github.com/google/elephant-goldfish-model/tree/HEAD/skills/egm-brainstorm", "install": ["npx skills add google/elephant-goldfish-model --skill egm-brainstorm"], "stars": 18712, "pushed": "2026-11-14T03:30:16Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:AgriciDaniel/claude-obsidian/skills/think", "name": "think", "kind": "skill", "official": false, "desc": "Apply the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions. This is a reasoning review, not a deterministic vault health check or repair workflow.", "repo": "https://github.com/AgriciDaniel/claude-obsidian/tree/HEAD/skills/think", "install": ["npx skills add AgriciDaniel/claude-obsidian --skill think"], "stars": 16462, "pushed": "2026-10-25T22:24:31Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:nidhinjs/prompt-master", "name": "prompt-master", "kind": "skill", "official": false, "desc": "Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other non-prompt-engineering work.", "repo": "https://github.com/nidhinjs/prompt-master", "install": ["npx skills add nidhinjs/prompt-master --skill prompt-master"], "stars": 15938, "pushed": "2026-10-22T13:26:18Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/22-agent-native-research-artifact/rigor-reviewer", "name": "ara-rigor-reviewer", "kind": "skill", "official": false, "desc": "Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject recommendation. Use after Level 1 structural validation passes, when an ARA needs an objective epistemic critique before publication or release.", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/22-agent-native-research-artifact/rigor-reviewer", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill ara-rigor-reviewer"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/16-prompt-engineering/dspy", "name": "dspy", "kind": "skill", "official": false, "desc": "Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/16-prompt-engineering/dspy", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill dspy"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/18-multimodal/cosmos-policy", "name": "evaluating-cosmos-policy", "kind": "skill", "official": false, "desc": "Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running headless GPU evaluations with EGL rendering, or profiling inference latency on cluster or local GPU machines.", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/18-multimodal/cosmos-policy", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill evaluating-cosmos-policy"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/18-multimodal/openvla-oft", "name": "fine-tuning-openvla-oft", "kind": "skill", "official": false, "desc": "Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or diffusion), deploying server-client inference for ALOHA, or debugging normalization, LoRA merge, and cross-GPU issues.", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/18-multimodal/openvla-oft", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill fine-tuning-openvla-oft"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi", "name": "fine-tuning-serving-openpi", "kind": "skill", "official": false, "desc": "Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference servers, or debugging norm stats and GPU memory issues.", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/18-multimodal/openpi", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill fine-tuning-serving-openpi"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/16-prompt-engineering/guidance", "name": "guidance", "kind": "skill", "official": false, "desc": "Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/16-prompt-engineering/guidance", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill guidance"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/16-prompt-engineering/instructor", "name": "instructor", "kind": "skill", "official": false, "desc": "Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/16-prompt-engineering/instructor", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill instructor"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/16-prompt-engineering/outlines", "name": "outlines", "kind": "skill", "official": false, "desc": "Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/16-prompt-engineering/outlines", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill outlines"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/13-mlops/tensorboard", "name": "tensorboard", "kind": "skill", "official": false, "desc": "Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/13-mlops/tensorboard", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill tensorboard"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/13-mlops/weights-and-biases", "name": "weights-and-biases", "kind": "skill", "official": false, "desc": "Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/13-mlops/weights-and-biases", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill weights-and-biases"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Jeffallan/claude-skills/skills/prompt-engineer", "name": "prompt-engineer", "kind": "skill", "official": false, "desc": "Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model perf", "repo": "https://github.com/Jeffallan/claude-skills/tree/HEAD/skills/prompt-engineer", "install": ["npx skills add Jeffallan/claude-skills --skill prompt-engineer"], "stars": 12355, "pushed": "2026-11-11T08:34:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Jeffallan/claude-skills/skills/the-fool", "name": "the-fool", "kind": "skill", "official": false, "desc": "Use when challenging ideas, plans, decisions, or proposals using structured critical reasoning. Invoke to play devil's advocate, run a pre-mortem, red team, or audit evidence and assumptions.", "repo": "https://github.com/Jeffallan/claude-skills/tree/HEAD/skills/the-fool", "install": ["npx skills add Jeffallan/claude-skills --skill the-fool"], "stars": 12355, "pushed": "2026-11-11T08:34:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aden-hive/hive/core/framework/skills/_default_skills/error-recovery", "name": "hive.error-recovery", "kind": "skill", "official": false, "desc": "Follow a structured recovery decision tree when tool calls fail instead of blindly retrying or giving up.", "repo": "https://github.com/aden-hive/hive/tree/HEAD/core/framework/skills/_default_skills/error-recovery", "install": ["npx skills add aden-hive/hive --skill hive.error-recovery"], "stars": 11161, "pushed": "2026-11-08T01:41:04Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aden-hive/hive/core/framework/skills/_default_skills/quality-monitor", "name": "hive.quality-monitor", "kind": "skill", "official": false, "desc": "Periodically self-assess output quality to catch degradation before the judge does.", "repo": "https://github.com/aden-hive/hive/tree/HEAD/core/framework/skills/_default_skills/quality-monitor", "install": ["npx skills add aden-hive/hive --skill hive.quality-monitor"], "stars": 11161, "pushed": "2026-11-08T01:41:04Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:anbeime/skill/skills/content-research-writer", "name": "content-research-writer", "kind": "skill", "official": false, "desc": "内容创作者、技术写作员在撰写博客、深度文章或技术文档时，使用此技能可开启全流程写作协作。它能帮你研究资料、构建大纲、逐段打磨并自动添加引用，快速优化Hook，让你高效产出高质量内容，告别孤军奋战！", "repo": "https://github.com/anbeime/skill/tree/HEAD/skills/content-research-writer", "install": ["npx skills add anbeime/skill --skill content-research-writer"], "stars": 9543, "pushed": "2026-11-14T02:12:26Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:google-labs-code/stitch-skills/plugins/stitch-utilities/skills/enhance-prompt", "name": "enhance-prompt", "kind": "skill", "official": false, "desc": "Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.", "repo": "https://github.com/google-labs-code/stitch-skills/tree/HEAD/plugins/stitch-utilities/skills/enhance-prompt", "install": ["npx skills add google-labs-code/stitch-skills --skill enhance-prompt"], "stars": 8771, "pushed": "2026-08-17T20:20:23Z", "license": "Apache-2.0", "plat": "stitch", "live": "Not checked (runs locally)"}, {"id": "skill:google-labs-code/stitch-skills/plugins/stitch-utilities/skills/site-md", "name": "site-md", "kind": "skill", "official": false, "desc": "Analyze a project description or site requirements and synthesize a project constitution into SITE.md for the Stitch Build Loop", "repo": "https://github.com/google-labs-code/stitch-skills/tree/HEAD/plugins/stitch-utilities/skills/site-md", "install": ["npx skills add google-labs-code/stitch-skills --skill site-md"], "stars": 8771, "pushed": "2026-08-17T20:20:23Z", "license": "Apache-2.0", "plat": "stitch", "live": "Not checked (runs locally)"}, {"id": "skill:WenyuChiou/awesome-agentic-ai-zh/examples/stage-5/tool-calling-tutor", "name": "tool-calling-tutor", "kind": "skill", "official": false, "desc": "Use when a tool-calling agent does not call a tool, sends wrong arguments, loops without stopping, or needs a function schema. Guides a four-branch diagnosis and five-step schema repair. Do not use for framework-specific, MCP-server, or production-observability questions.", "repo": "https://github.com/WenyuChiou/awesome-agentic-ai-zh/tree/HEAD/examples/stage-5/tool-calling-tutor", "install": ["npx skills add WenyuChiou/awesome-agentic-ai-zh --skill tool-calling-tutor"], "stars": 8769, "pushed": "2026-11-10T22:05:12Z", "license": "MIT", "plat": "tool-calling", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-deslop", "name": "story-deslop", "kind": "skill", "official": false, "desc": "网文去AI味。从表达、叙事用笔、故事因果三层诊断并修复文本，保留作者文风与已定剧情。触发方式：/story-deslop、/去AI味、「去AI味」「这篇太AI了」「网文去AI味」。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-deslop", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-deslop"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-import", "name": "story-import", "kind": "skill", "official": false, "desc": "逆向导入已有小说。将已写好的小说（半成品或完本）反向解析为标准项目目录结构，兼容 story-long-write / story-short-write 后续写作流程；内部复用 story-long-analyze / story-short-analyze 的拆解管道，按篇幅自动分流。触发方式：/story-import、「导入小说」「反向解析」「导入」「把我的书导进来」。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-import", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-import"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-long-analyze", "name": "story-long-analyze", "kind": "skill", "official": false, "desc": "长篇网文拆文。保留黄金三章、逐章摘要、剧情、情绪、节奏、角色、设定和文风接口，以连续章节块完成因果、双时间线、关系与三维节奏分析；兼容旧成果直接使用、按需增强和断点续跑。含可选三层灵感库管道（灵感库、跨书灵感聚合、更新灵感库）。触发方式：/story-long-analyze、/长篇拆文、「帮我拆这本书」「拆这本书」「分析黄金三章」「深度拆解」「完整拆解」或提供小说文本文件路径。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-long-analyze", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-long-analyze"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-long-write", "name": "story-long-write", "kind": "skill", "official": false, "desc": "长篇网文规划与写作。支持只讨论结构、只写大纲或指定细纲，明确要求正文后再写章节。触发方式：/story-long-write、/写长篇、「帮我开书」「定设定」「出卷纲」「规划剧情」「写大纲」「补细纲」「日更」「续写」「继续写」「修改第X章」「回炉」「重写第X章」。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-long-write", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-long-write"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "番茄长篇与短故事", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-publish", "name": "story-publish", "kind": "skill", "official": false, "desc": "小说发布准备：调用即生成并保存发布资料，缺失字段留空；按平台整理书名、笔名、分类、标签及所需简介。触发方式：/story-publish、/发布资料、「填写平台建书资料」「建书表单」「起书名/写简介/选标签用于发布」；正文累计约 2 万字、准备上架时也适用。当前适配番茄长篇与短故事（短故事无需简介），不代替后台填表或实际发布。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-publish", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-publish"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-review", "name": "story-review", "kind": "skill", "official": false, "desc": "多视角对抗式审查。full/lean 模式在已部署 reviewer agents 时并行 spawn；缺失/异常 agents 或 spawn 失败时自动降级 solo，参考文件不可读时使用内置 rubric fallback。触发方式：/story-review、/审查、「审查一下」「帮我审一下」。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-review", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-review"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-setup", "name": "story-setup", "kind": "skill", "official": false, "desc": "网文写作工具集基础设施部署与检查。为 Claude Code / OpenCode / Codex / Google Antigravity / ZCode / OpenClaw / Reasonix 提供内置适配；Web AI / 通用 Agent 可走 skills + AGENTS.md 文件模式。触发方式：/story-setup、$story-setup、「准备写书」「帮我搭一下环境」「配置写作项目」「检查写作环境」。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-setup", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-setup"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "claude code / opencode / codex / google", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-short-analyze", "name": "story-short-analyze", "kind": "skill", "official": false, "desc": "短篇网文拆文。拆解爆款短篇小说（番茄短篇 / 故事会 / 知乎盐言 / 追妻 / 世情 / 重生 / 虐渣等通俗题材）的故事核、结构、情感线、反转设计、写作手法、共鸣层次。单一全量拆解管道：跑完 Stage 2-6 产出完整拆文报告，落盘到 拆文库/{书名}/，下游 story-short-write 同时读拆文报告 + 情节节点 + 写作手法 + 原文 + _meta.json 写下一篇。触发方式：/story-short-analyze、/短篇拆文、「拆短篇」「拆这篇短文」「短篇拆文」「精细拆解短篇」「8000 字短篇拆解」「番茄短篇拆文」「故事会拆解」「盐言故事拆解」「分析这篇短篇」——均进入同一管道。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-short-analyze", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-short-analyze"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "番茄短篇 / 故事会 / 知乎盐言 / 追妻 / 世情 / 重生 / 虐渣", "live": "Not checked (runs locally)"}, {"id": "skill:zenstory-ai/oh-story-claudecode/skills/story-short-write", "name": "story-short-write", "kind": "skill", "official": false, "desc": "短篇网文写作。辅助短篇小说创作，从构思到成稿，聚焦情绪拉扯与节奏把控。触发方式：/story-short-write、/写短篇、「帮我写一篇短篇」「写个盐言故事」。", "repo": "https://github.com/zenstory-ai/oh-story-claudecode/tree/HEAD/skills/story-short-write", "install": ["npx skills add zenstory-ai/oh-story-claudecode --skill story-short-write"], "stars": 8581, "pushed": "2026-11-13T06:27:00Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/brainstorming", "name": "brainstorming", "kind": "skill", "official": false, "desc": "在任何创造性工作之前必须使用此技能——创建功能、构建组件、添加功能、修改行为，或筹划任何新东西，无论是软件还是软件之外（一场分享、一门生意、一次装修）。", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/brainstorming", "install": ["npx skills add jnMetaCode/superpowers-zh --skill brainstorming"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/diagnosing-superpowers", "name": "diagnosing-superpowers", "kind": "skill", "official": false, "desc": "当一次 superpowers 会话出了问题、你的人类伙伴想知道原因时使用——重复劳动、无视计划、磕磕绊绊、结果质量差、某个技能没触发、\"太慢了\"、\"为什么这么贵\"、\"它到底在干什么\"——或者想给 superpowers 维护者整理一份 bug 报告；适用于当前会话，或按 id / 路径指定的过往会话，任何工具均可", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/diagnosing-superpowers", "install": ["npx skills add jnMetaCode/superpowers-zh --skill diagnosing-superpowers"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/executing-plans", "name": "executing-plans", "kind": "skill", "official": false, "desc": "当你要在当前会话里亲自担任实现者执行一份实现计划时使用——你的人类伙伴选择了内联执行，或者没有可用的子智能体工具", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/executing-plans", "install": ["npx skills add jnMetaCode/superpowers-zh --skill executing-plans"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/finishing-a-development-branch", "name": "finishing-a-development-branch", "kind": "skill", "official": false, "desc": "当实现完成、所有测试通过、需要决定如何集成这份工作时使用", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/finishing-a-development-branch", "install": ["npx skills add jnMetaCode/superpowers-zh --skill finishing-a-development-branch"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/receiving-code-review", "name": "receiving-code-review", "kind": "skill", "official": false, "desc": "收到代码审查反馈后、实施建议之前使用，尤其当反馈不明确或技术上有疑问时——需要技术严谨性和验证，而非敷衍附和或盲目执行", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/receiving-code-review", "install": ["npx skills add jnMetaCode/superpowers-zh --skill receiving-code-review"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/requesting-code-review", "name": "requesting-code-review", "kind": "skill", "official": false, "desc": "完成任务、实现重要功能或合并前使用，用于验证工作成果是否符合要求", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/requesting-code-review", "install": ["npx skills add jnMetaCode/superpowers-zh --skill requesting-code-review"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/systematic-debugging", "name": "systematic-debugging", "kind": "skill", "official": false, "desc": "遇到任何 bug、测试失败或异常行为时使用，在提出修复方案之前执行", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/systematic-debugging", "install": ["npx skills add jnMetaCode/superpowers-zh --skill systematic-debugging"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/test-driven-development", "name": "test-driven-development", "kind": "skill", "official": false, "desc": "在实现任何功能或修复 bug 时使用，在编写实现代码之前", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/test-driven-development", "install": ["npx skills add jnMetaCode/superpowers-zh --skill test-driven-development"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/verification-before-completion", "name": "verification-before-completion", "kind": "skill", "official": false, "desc": "在宣称工作完成、已修复或测试通过之前使用，在提交或创建 PR 之前——必须运行验证命令并确认输出后才能声称成功；始终用证据支撑断言", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/verification-before-completion", "install": ["npx skills add jnMetaCode/superpowers-zh --skill verification-before-completion"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jnMetaCode/superpowers-zh/skills/writing-plans", "name": "writing-plans", "kind": "skill", "official": false, "desc": "当你有规格说明或需求用于多步骤任务时使用，在动手写代码之前", "repo": "https://github.com/jnMetaCode/superpowers-zh/tree/HEAD/skills/writing-plans", "install": ["npx skills add jnMetaCode/superpowers-zh --skill writing-plans"], "stars": 8535, "pushed": "2026-11-14T02:41:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Master-cai/Research-Paper-Writing-Skills/research-paper-writing", "name": "research-paper-writing", "kind": "skill", "official": false, "desc": "Improve academic paper writing quality for ML/CV/NLP-style papers with clear section structure, paragraph flow, and reviewer-facing presentation. Use when drafting or revising Abstract, Introduction, Related Work, Method, Experiments, or Conclusion; polishing figures/tables; checking claim-support alignment; or performing self-review before submission.", "repo": "https://github.com/Master-cai/Research-Paper-Writing-Skills/tree/HEAD/research-paper-writing", "install": ["npx skills add Master-cai/Research-Paper-Writing-Skills --skill research-paper-writing"], "stars": 8332, "pushed": "2026-06-23T02:28:54Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:JetBrains/thinkrail/packages/pi-thinkrail-workflow/skills/brainstorming", "name": "brainstorming", "kind": "skill", "official": false, "desc": "Use before implementing a feature, a change in behavior, or a bug fix — however small. Not for questions, checks, or edits that change no behavior (typos, documentation or configuration only, mechanical refactors).", "repo": "https://github.com/JetBrains/thinkrail/tree/HEAD/packages/pi-thinkrail-workflow/skills/brainstorming", "install": ["npx skills add JetBrains/thinkrail --skill brainstorming"], "stars": 8239, "pushed": "2026-11-14T01:53:51Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:JetBrains/thinkrail/packages/pi-thinkrail-workflow/skills/importing-a-codebase", "name": "importing-a-codebase", "kind": "skill", "official": false, "desc": "Use when asked to create the initial spec graph for an existing codebase that has source code but no specs. Normally reached via setting-up-a-project.", "repo": "https://github.com/JetBrains/thinkrail/tree/HEAD/packages/pi-thinkrail-workflow/skills/importing-a-codebase", "install": ["npx skills add JetBrains/thinkrail --skill importing-a-codebase"], "stars": 8239, "pushed": "2026-11-14T01:53:51Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:JetBrains/thinkrail/packages/pi-thinkrail-workflow/skills/setting-up-a-project", "name": "setting-up-a-project", "kind": "skill", "official": false, "desc": "Use when asked to set up, onboard, initialize, or spec a project with no spec graph, or when invoked by the app's Set-up-project card. Not for ordinary work in an already-specced project.", "repo": "https://github.com/JetBrains/thinkrail/tree/HEAD/packages/pi-thinkrail-workflow/skills/setting-up-a-project", "install": ["npx skills add JetBrains/thinkrail --skill setting-up-a-project"], "stars": 8239, "pushed": "2026-11-14T01:53:51Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:JetBrains/thinkrail/packages/spec-graph/skills/spec-graph", "name": "spec-graph", "kind": "skill", "official": false, "desc": "Use when locating, reading, creating, updating, or validating project specs, or when work is governed by or may alter a documented boundary, contract, invariant, behavior, or architecture decision.", "repo": "https://github.com/JetBrains/thinkrail/tree/HEAD/packages/spec-graph/skills/spec-graph", "install": ["npx skills add JetBrains/thinkrail --skill spec-graph"], "stars": 8239, "pushed": "2026-11-14T01:53:51Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:JetBrains/thinkrail/packages/pi-thinkrail-workflow/skills/starting-a-new-project", "name": "starting-a-new-project", "kind": "skill", "official": false, "desc": "Use when the workspace is empty, has no code, and the user brings a raw project idea. Normally reached via setting-up-a-project; not for an existing project.", "repo": "https://github.com/JetBrains/thinkrail/tree/HEAD/packages/pi-thinkrail-workflow/skills/starting-a-new-project", "install": ["npx skills add JetBrains/thinkrail --skill starting-a-new-project"], "stars": 8239, "pushed": "2026-11-14T01:53:51Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:JetBrains/thinkrail/packages/pi-todos/skills/todos", "name": "todos", "kind": "skill", "official": false, "desc": "Use when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending. Without an explicit plan request, not for one-shot answers or checks, or one- to two-step work that is not already in the list.", "repo": "https://github.com/JetBrains/thinkrail/tree/HEAD/packages/pi-todos/skills/todos", "install": ["npx skills add JetBrains/thinkrail --skill todos"], "stars": 8239, "pushed": "2026-11-14T01:53:51Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:JetBrains/thinkrail/packages/pi-thinkrail-workflow/skills/writing-specs", "name": "writing-specs", "kind": "skill", "official": false, "desc": "Use when a workflow step drafts or revises a spec artifact — a goal-and-requirements, an architecture, or a module SPEC — or when a workflow skill names it at such a step. The shared quality bar for specs — not a workflow, nothing to execute.", "repo": "https://github.com/JetBrains/thinkrail/tree/HEAD/packages/pi-thinkrail-workflow/skills/writing-specs", "install": ["npx skills add JetBrains/thinkrail --skill writing-specs"], "stars": 8239, "pushed": "2026-11-14T01:53:51Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:trailofbits/skills/plugins/goal-prompt/skills/goal-prompt", "name": "goal-prompt", "kind": "skill", "official": false, "desc": "Drafts copy-paste-ready /goal commands for goal mode in Claude Code and Codex. Use when the user asks to create, write, rewrite, improve, compress, clean up, or prepare a goal prompt, goal condition, /goal command, goal-mode objective, or copy-ready long-running task objective.", "repo": "https://github.com/trailofbits/skills/tree/HEAD/plugins/goal-prompt/skills/goal-prompt", "install": ["npx skills add trailofbits/skills --skill goal-prompt"], "stars": 8179, "pushed": "2026-11-12T17:48:51Z", "license": "CC-BY-SA-4.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:trailofbits/skills/plugins/let-fate-decide/skills/let-fate-decide", "name": "let-fate-decide", "kind": "skill", "official": false, "desc": "Draws the 12 Houses of the Zodiac Tarot spread to inject entropy into planning when prompts are vague, ambiguous, or casually delegated. Interprets the spread to guide next steps. Use when the user says 'let fate decide', 'YOLO', 'whatever', 'idk', or other nonchalant phrases, makes Yu-Gi-Oh references, or when you are about to arbitrarily pick between multiple reasonable approaches. Prefer over asking clarifying questions when the user's tone is casual or playful rather than precision-seeking.", "repo": "https://github.com/trailofbits/skills/tree/HEAD/plugins/let-fate-decide/skills/let-fate-decide", "install": ["npx skills add trailofbits/skills --skill let-fate-decide"], "stars": 8179, "pushed": "2026-11-12T17:48:51Z", "license": "CC-BY-SA-4.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:trailofbits/skills/plugins/writing-lean-proofs/skills/writing-lean-proofs", "name": "writing-lean-proofs", "kind": "skill", "official": false, "desc": "Writes and reviews structured Lean 4 proofs and designs Lean libraries following Mathlib conventions. Use when proving theorems in Lean, formalizing mathematics or specifications in Lean 4, defining new types or definitions in a Lean library, reviewing Lean proofs for readability and maintainability, refactoring long tactic proofs into lemmas, filling in sorry placeholders in a Lean development, setting up CI or linters for a Lean project, diagnosing slow proofs or maxHeartbeats timeouts, or wri", "repo": "https://github.com/trailofbits/skills/tree/HEAD/plugins/writing-lean-proofs/skills/writing-lean-proofs", "install": ["npx skills add trailofbits/skills --skill writing-lean-proofs"], "stars": 8179, "pushed": "2026-11-12T17:48:51Z", "license": "CC-BY-SA-4.0", "plat": "lean 4", "live": "Not checked (runs locally)"}, {"id": "skill:deanpeters/Product-Manager-Skills/plugins/pm-develop/skills/context-engineering-advisor", "name": "context-engineering-advisor", "kind": "skill", "official": false, "desc": "Diagnose context stuffing vs. context engineering. Use when an AI workflow feels bloated, brittle, or hard to steer reliably.", "repo": "https://github.com/deanpeters/Product-Manager-Skills/tree/HEAD/plugins/pm-develop/skills/context-engineering-advisor", "install": ["npx skills add deanpeters/Product-Manager-Skills --skill context-engineering-advisor"], "stars": 8014, "pushed": "2026-11-13T15:19:58Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lijigang/ljg-skills/skills/ljg-relationship", "name": "ljg-relationship", "kind": "skill", "official": false, "desc": "Relationship analyst combining structural diagnostics (5-layer framework) with psychoanalytic depth (transference, unconscious patterns, resistance). Guides users through dialogue to \"see\" the real structure of their relationship issues. Use when user says \"关系分析\", \"分析关系\", \"relationship\", \"人际关系\", or describes a specific relationship problem they want to understand.", "repo": "https://github.com/lijigang/ljg-skills/tree/HEAD/skills/ljg-relationship", "install": ["npx skills add lijigang/ljg-skills --skill ljg-relationship"], "stars": 7740, "pushed": "2026-11-02T09:23:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lijigang/ljg-skills/skills/ljg-structure", "name": "ljg-structure", "kind": "skill", "official": false, "desc": "找出一段信息中母题级别的结构，把抽象关系展开回具体可见的现象，再用风洞检验关键因果与边界。USE WHEN user says '找结构', '母题是什么', '结构风洞', '背后的结构', '不要只做AB测试', or wants the generative mechanism beneath a problem. 仅当用户明确要求时展开跨域来源或多母题组合。NOT FOR 普通摘要、单个类比、事实查询或已有明确唯一解的执行题。", "repo": "https://github.com/lijigang/ljg-skills/tree/HEAD/skills/ljg-structure", "install": ["npx skills add lijigang/ljg-skills --skill ljg-structure"], "stars": 7740, "pushed": "2026-11-02T09:23:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lijigang/ljg-skills/skills/ljg-think", "name": "ljg-think", "kind": "skill", "official": false, "desc": "追本之箭——纵向深钻思维工具。给一个观点、现象或问题，像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its irreducible root. Also trigger when user provides a statement and wants depth analysis, not breadth survey.", "repo": "https://github.com/lijigang/ljg-skills/tree/HEAD/skills/ljg-think", "install": ["npx skills add lijigang/ljg-skills --skill ljg-think"], "stars": 7740, "pushed": "2026-11-02T09:23:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:MengTo/Skills/agent-skills/codex/audit-reference-originality", "name": "audit-reference-originality", "kind": "skill", "official": false, "desc": "Audit a website or digital experience against its supplied source references for originality and plagiarism risk. Use when Codex must compare current or historical site output with reference pages, capture packs, screenshots, copy, brands, numbers, images, assets, videos, layouts, motion, or code; raise evidence-backed red flags; distinguish common visual grammar from distinctive copying; and propose concrete fixes without making unsupported legal claims.", "repo": "https://github.com/MengTo/Skills/tree/HEAD/agent-skills/codex/audit-reference-originality", "install": ["npx skills add MengTo/Skills --skill audit-reference-originality"], "stars": 7464, "pushed": "2026-11-12T10:26:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:MengTo/Skills/agent-skills/codex/audit-verify-explain-grade-5", "name": "audit-verify-explain-grade-5", "kind": "skill", "official": false, "desc": "Audit work, verify claims with concrete evidence, and explain the result in simple grade-5 language. Use when the user asks to review, audit, check, verify, explain a change, explain a fix, summarize test results, validate whether something works, or translate technical findings into plain language for non-technical readers.", "repo": "https://github.com/MengTo/Skills/tree/HEAD/agent-skills/codex/audit-verify-explain-grade-5", "install": ["npx skills add MengTo/Skills --skill audit-verify-explain-grade-5"], "stars": 7464, "pushed": "2026-11-12T10:26:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:MengTo/Skills/agent-skills/codex/iterate-until-verified", "name": "iterate-until-verified", "kind": "skill", "official": false, "desc": "Apply a prompt-agnostic execution and verification loop to any substantial task while preserving the original request. Use when the user asks to fan out work, use subagents or independent reviewers, loop until done, benchmark against references, apply a harsh critic, compare candidates blind, improve an existing prompt with verification, or continue until explicit quality gates pass.", "repo": "https://github.com/MengTo/Skills/tree/HEAD/agent-skills/codex/iterate-until-verified", "install": ["npx skills add MengTo/Skills --skill iterate-until-verified"], "stars": 7464, "pushed": "2026-11-12T10:26:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:MengTo/Skills/agent-skills/game-development/tune-enemy-ai", "name": "tune-enemy-ai", "kind": "skill", "official": false, "desc": "Build, debug, balance, or test combat enemy AI for playable action games. Use for aggro, target selection, navigation, spacing, attack choices, telegraphs, retreats, boss behavior, behavior-state machines, and deterministic AI regression tests.", "repo": "https://github.com/MengTo/Skills/tree/HEAD/agent-skills/game-development/tune-enemy-ai", "install": ["npx skills add MengTo/Skills --skill tune-enemy-ai"], "stars": 7464, "pushed": "2026-11-12T10:26:48Z", "license": "MIT", "plat": "games", "live": "Not checked (runs locally)"}, {"id": "skill:MengTo/Skills/agent-skills/workflow/workflow-score-to-target", "name": "workflow-score-to-target", "kind": "skill", "official": false, "desc": "Score work out of 10 against a clear rubric, then improve it round by round until every item reaches the target score the user named (for example \"get it to 8 out of 10\", \"bring everything under 6 up to 6+\"). Covers anchored rubrics, measurable criteria, independent or blind judging, before/after scorecards, and honest reporting of anything still short. Use whenever the user asks to score, rate, grade or judge something out of 10, names a target score, or asks \"what would make this a 9?\".", "repo": "https://github.com/MengTo/Skills/tree/HEAD/agent-skills/workflow/workflow-score-to-target", "install": ["npx skills add MengTo/Skills --skill workflow-score-to-target"], "stars": 7464, "pushed": "2026-11-12T10:26:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gepa-ai/gepa/.claude/skills/gepa-optimize-anything", "name": "gepa-optimize-anything", "kind": "skill", "official": false, "desc": "Automatically improve any text artifact that can be scored — prompts, programs/code, configs, specs, regex/SQL/schemas, agent scaffolds, or encoded search solutions — with optimize_anything, an LLM-driven optimization API: a search backend repeatedly proposes better versions from execution feedback and an evaluator you provide assigns the score (an objective metric or an LLM-as-judge for subjective tasks). optimize_anything is one interface across several optimizer backends — GEPA (reflective ev", "repo": "https://github.com/gepa-ai/gepa/tree/HEAD/.claude/skills/gepa-optimize-anything", "install": ["npx skills add gepa-ai/gepa --skill gepa-optimize-anything"], "stars": 7427, "pushed": "2026-11-09T12:46:31Z", "license": "MIT", "plat": "gepa", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(gtm)/ai-pricing", "name": "ai-pricing", "kind": "skill", "official": false, "desc": "When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products. Do NOT use for technical implementation, code review, or software ", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(gtm)/ai-pricing", "install": ["npx skills add tech-leads-club/agent-skills --skill ai-pricing"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(gtm)/content-to-pipeline", "name": "content-to-pipeline", "kind": "skill", "official": false, "desc": "When the user wants to turn content into revenue, build a content-led GTM motion, reverse engineer distribution, or repurpose content across platforms. Also use when the user mentions 'content marketing,' 'content-led growth,' 'content to pipeline,' 'distribution,' 'content repurposing,' 'content strategy,' 'thought leadership,' 'newsletter,' 'content flywheel,' 'organic growth.' This skill covers content-to-revenue systems from creation through pipeline attribution. Do NOT use for technical imp", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(gtm)/content-to-pipeline", "install": ["npx skills add tech-leads-club/agent-skills --skill content-to-pipeline"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(gtm)/expansion-retention", "name": "expansion-retention", "kind": "skill", "official": false, "desc": "When the user wants to reduce churn, build expansion revenue, automate customer success, or optimize net revenue retention. Also use when the user mentions 'churn,' 'retention,' 'expansion revenue,' 'upsell,' 'NRR,' 'net revenue retention,' 'customer success,' 'land and expand,' 'closed-lost,' or 'renewal.' This skill covers expansion and retention systems from usage triggers through automated customer success. Do NOT use for technical implementation, code review, or software architecture.", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(gtm)/expansion-retention", "install": ["npx skills add tech-leads-club/agent-skills --skill expansion-retention"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(gtm)/gtm-metrics", "name": "gtm-metrics", "kind": "skill", "official": false, "desc": "When the user wants to define GTM metrics, build a metrics dashboard, measure pipeline efficiency, or track AI product performance. Also use when the user mentions 'GTM metrics,' 'revenue latency,' 'pipeline metrics,' 'TTFV,' 'time-to-first-value,' 'data health,' 'attribution,' 'conversion rate,' 'CAC,' 'LTV,' 'NRR,' 'GTM dashboard,' 'magic number,' 'pipeline velocity,' or 'funnel metrics.' This skill covers GTM measurement from metric selection through dashboard design, including AI-specific co", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(gtm)/gtm-metrics", "install": ["npx skills add tech-leads-club/agent-skills --skill gtm-metrics"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(gtm)/positioning-icp", "name": "positioning-icp", "kind": "skill", "official": false, "desc": "When the user wants to define their ideal customer profile, position an AI product, build messaging architecture, or validate product-market fit. Also use when the user mentions 'ICP,' 'ideal customer profile,' 'positioning,' 'PMF,' 'product-market fit,' 'messaging,' 'buyer persona,' 'enrichment signals,' 'market positioning,' or 'competitive positioning.' This skill covers market positioning, ICP definition, messaging architecture, and PMF validation for AI-native products. Do NOT use for techn", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(gtm)/positioning-icp", "install": ["npx skills add tech-leads-club/agent-skills --skill positioning-icp"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(gtm)/sales-motion-design", "name": "sales-motion-design", "kind": "skill", "official": false, "desc": "When the user wants to choose between PLG and sales-led, design a sales motion, optimize time-to-first-value, or build a value-before-purchase experience. Also use when the user mentions 'PLG,' 'product-led growth,' 'sales-led,' 'sales motion,' 'free trial,' 'freemium,' 'self-serve,' 'demo-first,' 'time-to-first-value,' 'TTFV,' or 'agent-led sales.' This skill covers sales motion selection, value delivery design, and go-to-market motion architecture. Do NOT use for technical implementation, code", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(gtm)/sales-motion-design", "install": ["npx skills add tech-leads-club/agent-skills --skill sales-motion-design"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(decision-making)/the-fool", "name": "the-fool", "kind": "skill", "official": false, "desc": "Use when challenging ideas, plans, decisions, or proposals. Invoke to play devil's advocate, run a pre-mortem, red team, stress test assumptions, audit evidence quality, or find blind spots before committing. Do NOT use for building plans, making decisions, or generating solutions — this skill only challenges and critiques. For a multi-agent panel that challenges and then commits to a verdict, use the-jury.", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(decision-making)/the-fool", "install": ["npx skills add tech-leads-club/agent-skills --skill the-fool"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(development)/tlc-discover", "name": "tlc-discover", "kind": "skill", "official": false, "desc": "Thinks through new or large projects: turns a vague idea into a design doc with a clear product problem and the technical solution. Use when exploring a new project, planning or designing a big project or system, or asked for a \"design doc\". Do NOT use for clear features or projects (use tlc-spec-lean or tlc-spec-driven).", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(development)/tlc-discover", "install": ["npx skills add tech-leads-club/agent-skills --skill tlc-discover"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(development)/tlc-plan", "name": "tlc-plan", "kind": "skill", "official": false, "desc": "Turns a request, ticket, PRD, design or thread into one plan a human approves and a builder can act on without the conversation: asks every gray area until no product decision is left to the builder, then writes the problem, EARS criteria with concrete values, the path and the data it touches (drawn in mermaid), the interface, and only the decisions that are hard to reverse. Captures that come with the request bind. Use when the user says \"plan this\", \"plan feature\", \"specify feature\", \"write th", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(development)/tlc-plan", "install": ["npx skills add tech-leads-club/agent-skills --skill tlc-plan"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(development)/tlc-prd", "name": "tlc-prd", "kind": "skill", "official": false, "desc": "Interviews an idea into a PRD file covering situation, problem, success, boundary, and journey states, and stops before any technical design. Use when the user says \"write the PRD\", \"create the PRD\", \"PRD\", \"product spec\", \"product requirements\", \"tlc-prd\", or \"what does the product need to decide\". Do NOT use for designing a solution, choosing technology, publishing the document, or cutting the PRD into tasks.", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(development)/tlc-prd", "install": ["npx skills add tech-leads-club/agent-skills --skill tlc-prd"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/darwin-skill", "name": "darwin-skill", "kind": "skill", "official": false, "desc": "达尔文.skill (Darwin Skill 3.0): evolves and scores SKILL.md files. Use on: 优化skill, skill评分, skill打分, skill体检, 自动优化, 达尔文, darwin, optimize skill. Runs a skill against a bare-model baseline, blind-judges the real outputs, keeps only edits that measurably help and reverts the rest; 9-dim rubric, held-out tests, git rollback, human checkpoints.", "repo": "https://github.com/alchaincyf/darwin-skill", "install": ["npx skills add alchaincyf/darwin-skill --skill darwin-skill"], "stars": 6910, "pushed": "2026-09-18T13:16:41Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:epoko77-ai/im-not-ai/extras/skills/commit-ko", "name": "commit-ko", "kind": "skill", "official": false, "desc": "AI(Claude 등)가 제안한 한글 커밋 메시지의 사무적·번역투 어휘(\"~을 수행함\", \"~을 진행함\", \"~적 개선을 실시함\" 등)를 실제 개발자가 쓰는 자연스러운 한국어 커밋 메시지로 다듬는 스킬. humanize-korean과 달리 산문 문단이 아니라 1~2줄짜리 커밋 메시지 register에 특화되어 진단·청킹 없이 단일 콜로 즉시 처리한다. 트리거 — \"커밋 메시지 자연스럽게\", \"커밋 메시지 다듬어줘\", \"이 커밋 메시지 AI 티 나\", \"commit message 한국어로 자연스럽게\", \"커밋 메시지 어색해\", \"커밋 메시지 사람처럼\".", "repo": "https://github.com/epoko77-ai/im-not-ai/tree/HEAD/extras/skills/commit-ko", "install": ["npx skills add epoko77-ai/im-not-ai --skill commit-ko"], "stars": 6534, "pushed": "2026-10-12T09:57:11Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:epoko77-ai/im-not-ai/skills/humanize", "name": "humanize", "kind": "skill", "official": false, "desc": "AI가 쓴 한글 텍스트를 자연스럽게 윤문하는 진입 명령. humanize-korean 파이프라인을 shim 의 route_hint 가 정한 경로(light 1콜 · standard 2콜 · heavy 3+콜)로 실행하고 `--strict`면 heavy 고정. 트리거 — \"/humanize\".", "repo": "https://github.com/epoko77-ai/im-not-ai/tree/HEAD/skills/humanize", "install": ["npx skills add epoko77-ai/im-not-ai --skill humanize"], "stars": 6534, "pushed": "2026-10-12T09:57:11Z", "license": "MIT", "plat": "openai", "live": "Not checked (runs locally)"}, {"id": "skill:epoko77-ai/im-not-ai/codex/skills/humanize-korean", "name": "humanize-korean", "kind": "skill", "official": false, "desc": "AI(ChatGPT·Claude·Gemini)가 쓴 한글 텍스트를 사람이 쓴 글처럼 진단·윤문·검증한다. 번역투, 기계적 병렬, 관용구, 피동, 접속사, 균일한 리듬 등 10대 카테고리 85개 패턴을 다루며 route_hint에 따라 light·standard·heavy 경로를 실행한다. \"AI 티 없애줘\", \"AI 윤문\", \"사람이 쓴 것처럼\", \"번역투 고쳐\", \"정밀 모드\", \"2차 윤문\", \"이 문단만 다시\", \"humanize Korean\" 요청에 사용한다. 단순 맞춤법 교정, 번역, 사실이나 내용을 추가하는 재작성에는 사용하지 않는다.", "repo": "https://github.com/epoko77-ai/im-not-ai/tree/HEAD/codex/skills/humanize-korean", "install": ["npx skills add epoko77-ai/im-not-ai --skill humanize-korean"], "stars": 6534, "pushed": "2026-10-12T09:57:11Z", "license": "MIT", "plat": "openai", "live": "Not checked (runs locally)"}, {"id": "skill:epoko77-ai/im-not-ai/copilot/skills/humanize-korean", "name": "humanize-korean", "kind": "skill", "official": false, "desc": "AI(ChatGPT·Claude·Gemini)가 쓴 한글 텍스트를 사람이 쓴 글처럼 윤문한다. 번역투·영어 인용 과다·기계적 병렬·관용구·피동 남용·접속사 남발·리듬 균일·이모지/불릿 과다 등 10대 카테고리 70개 AI 티 패턴을 탐지·분류해 내용은 한 글자도 건드리지 않고 문체·리듬·표현만 자연스럽게 재작성한다. 트리거 — \"AI 티 없애줘\", \"AI 윤문\", \"ChatGPT 티 제거\", \"번역투 고쳐\", \"사람이 쓴 것처럼\", \"humanize Korean\". 단순 맞춤법 교정·번역·내용 추가는 대상 아님.", "repo": "https://github.com/epoko77-ai/im-not-ai/tree/HEAD/copilot/skills/humanize-korean", "install": ["npx skills add epoko77-ai/im-not-ai --skill humanize-korean"], "stars": 6534, "pushed": "2026-10-12T09:57:11Z", "license": "MIT", "plat": "openai", "live": "Not checked (runs locally)"}, {"id": "skill:epoko77-ai/im-not-ai/skills/humanize-korean", "name": "humanize-korean", "kind": "skill", "official": false, "desc": "AI(ChatGPT·Claude·Gemini 등)가 쓴 한글 텍스트를 \"사람이 쓴 글처럼\" 윤문해주는 오케스트레이터 스킬. 번역투·영어 인용 과다·기계적 병렬·관용구·피동태 남용·접속사 남발·리듬 균일성·이모지/불릿 과다 등 10대 카테고리 85개 AI 티 패턴을 탐지·분류해 내용은 한 글자도 건드리지 않고 문체·리듬·표현만 자연스러운 한국어로 재작성한다. shim의 route_hint(light|standard|heavy)로 경로를 정해 잘 쓴 글은 1콜, 표준은 2콜, 중증·장문만 3+콜(진단→겨냥 윤문→finalize)로 처리한다. 트리거 — \"AI 티 없애줘\", \"AI 같은 글 자연스럽게\", \"GPT/ChatGPT 문체\", \"AI 번역투 고쳐\", \"사람이 쓴 것처럼 윤문\", \"AI 윤문\", \"ChatGPT 티 제거\", \"한글 AI 탐지·윤문\", \"AI 글 사람처럼\", \"번역투 제거\", \"영어 인용 많은 글 윤문\", \"AI 글 티 안 나게\", \"휴머나이저\", \"humanize ", "repo": "https://github.com/epoko77-ai/im-not-ai/tree/HEAD/skills/humanize-korean", "install": ["npx skills add epoko77-ai/im-not-ai --skill humanize-korean"], "stars": 6534, "pushed": "2026-10-12T09:57:11Z", "license": "MIT", "plat": "openai", "live": "Not checked (runs locally)"}, {"id": "skill:epoko77-ai/im-not-ai/skills/humanize-redo", "name": "humanize-redo", "kind": "skill", "official": false, "desc": "가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 run_id에 재실행해 잔존 finding을 처리한다. 트리거 — \"/humanize-redo\".", "repo": "https://github.com/epoko77-ai/im-not-ai/tree/HEAD/skills/humanize-redo", "install": ["npx skills add epoko77-ai/im-not-ai --skill humanize-redo"], "stars": 6534, "pushed": "2026-10-12T09:57:11Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:epoko77-ai/im-not-ai/skills/humanize-scan", "name": "humanize-scan", "kind": "skill", "official": false, "desc": "한글 글에 AI 티가 얼마나 있는지 재고, 실제로 고치면 어떻게 되는지 표본으로 보여주는 정찰 스킬. 실측 판별력 상위 6개만 본다. 워크스페이스·진단·게이트·서브에이전트 없이 이 대화 안에서 끝낸다(파일 0개, 서브에이전트 0회). 손볼 게 많다고 나오면 전수 윤문은 humanize-korean(=/humanize)으로 넘긴다. 트리거 — \"이 글 AI 같아?\", \"AI 티 있나 봐줘\", \"스캔해줘\", \"윤문 돌릴 값어치 있나\", \"AI 티 점수\", \"quick humanize\", \"/humanize-scan\".", "repo": "https://github.com/epoko77-ai/im-not-ai/tree/HEAD/skills/humanize-scan", "install": ["npx skills add epoko77-ai/im-not-ai --skill humanize-scan"], "stars": 6534, "pushed": "2026-10-12T09:57:11Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:antfu/skills/skills/antfu-query", "name": "antfu-query", "kind": "skill", "official": false, "desc": "Interview the user relentlessly about a plan, decision, or idea until reaching a shared understanding, using the agent's interactive question tool (not plain text). Use when the user wants to stress-test their thinking, clarify requirements, or says \"grill me\" or \"query me\".", "repo": "https://github.com/antfu/skills/tree/HEAD/skills/antfu-query", "install": ["npx skills add antfu/skills --skill antfu-query"], "stars": 6067, "pushed": "2026-11-11T08:13:27Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/productivity/grill-me", "name": "grill-me", "kind": "skill", "official": false, "desc": "一个用来打磨计划或设计的持续追问式访谈。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/productivity/grill-me", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill grill-me"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/productivity/grilling", "name": "grilling", "kind": "skill", "official": false, "desc": "围绕计划、decision 或 idea 持续追问用户。适用于用户想对自己的思路做压力测试，或使用任何 “grill” 触发措辞时。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/productivity/grilling", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill grilling"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/in-progress/loop-me", "name": "loop-me", "kind": "skill", "official": false, "desc": "在这个工作区中，就我想构建的工作流规格访谈我。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/in-progress/loop-me", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill loop-me"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/productivity/teach", "name": "teach", "kind": "skill", "official": false, "desc": "在这个工作区中教用户一个新技能或概念。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/productivity/teach", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill teach"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/productivity/to-questionnaire", "name": "to-questionnaire", "kind": "skill", "official": false, "desc": "把你无法完整回答的 decision 转成一份交给他人填写的 questionnaire。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/productivity/to-questionnaire", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill to-questionnaire"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/productivity/wait-what", "name": "wait-what", "kind": "skill", "official": false, "desc": "停一下：刚才那条消息没有说清楚，重新表述一遍。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/productivity/wait-what", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill wait-what"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/in-progress/writing-beats", "name": "writing-beats", "kind": "skill", "official": false, "desc": "Writing, exploit——把原始素材组装成一段节拍旅程，在某个 beat 依赖一个术语之前先把它 grounded。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/in-progress/writing-beats", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill writing-beats"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/in-progress/writing-fragments", "name": "writing-fragments", "kind": "skill", "official": false, "desc": "Writing, explore：挖掘原始 fragments，暂不施加任何结构。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/in-progress/writing-fragments", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill writing-fragments"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:vinvcn/mattpocock-skills-zh-CN/skills/in-progress/writing-shape", "name": "writing-shape", "kind": "skill", "official": false, "desc": "Writing, exploit：把原始素材塑造成文章，一段一段地推进。", "repo": "https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/HEAD/skills/in-progress/writing-shape", "install": ["npx skills add vinvcn/mattpocock-skills-zh-CN --skill writing-shape"], "stars": 5774, "pushed": "2026-11-10T09:40:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:breaking-brake/cc-wf-studio/.claude/skills/next-idea", "name": "next-idea", "kind": "skill", "official": false, "desc": "Run one unattended IDEATION iteration of the autonomous value-creation loop — invent improvements a user of cc-wf-studio would notice, judge them against the value bar, and file the winners as locked `idea` issues. Never implements anything; the next-task skill builds from the queue this skill fills. Use when the user says \"アイデア出して\", \"next idea\", or wants proposals without implementation.", "repo": "https://github.com/breaking-brake/cc-wf-studio/tree/HEAD/.claude/skills/next-idea", "install": ["npx skills add breaking-brake/cc-wf-studio --skill next-idea"], "stars": 5455, "pushed": "2026-10-07T00:11:01Z", "license": "NOASSERTION", "plat": "cc-wf-studio", "live": "Not checked (runs locally)"}, {"id": "skill:breaking-brake/cc-wf-studio/.claude/skills/next-qa-idea", "name": "next-qa-idea", "kind": "skill", "official": false, "desc": "Run one unattended IDEATION iteration of the quality-assurance loop — find the highest-value untested behavior in the codebase, judge it against the QA value bar, and file ONE locked `qa` issue specifying the test to write. Never writes code or tests; the next-qa skill builds from the queue this skill fills. Use when the user says \"QAアイデア\", \"next qa idea\", or wants the QA backlog refilled without implementation.", "repo": "https://github.com/breaking-brake/cc-wf-studio/tree/HEAD/.claude/skills/next-qa-idea", "install": ["npx skills add breaking-brake/cc-wf-studio --skill next-qa-idea"], "stars": 5455, "pushed": "2026-10-07T00:11:01Z", "license": "NOASSERTION", "plat": "cc-wf-studio", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.pollinations/ask-jev", "name": "Ask Jev", "kind": "mcp", "official": null, "desc": "Evaluate state with typed choice, score, and probability questions.", "repo": "https://github.com/pollinations/pollinations", "install": ["https://gen.pollinations.ai/mcp/ask-jev"], "stars": 5294, "pushed": "2026-11-13T02:50:28Z", "license": "MIT", "plat": "ask jev", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/27-dariia-m-my_claude_skills/dont-lie", "name": "anti-hallucination", "kind": "skill", "official": false, "desc": "ALWAYS activate this skill. Apply these rules to every task regardless of domain. This skill governs how Claude Code verifies information, writes code, references documentation, and avoids fabricating functions, arguments, APIs, file paths, data structures, or facts. These rules override any inclination to guess.", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/27-dariia-m-my_claude_skills/dont-lie", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill anti-hallucination"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/bayesian-estimation", "name": "bayesian-estimation", "kind": "skill", "official": false, "desc": "This skill covers Bayesian estimation and inference in quantitative social science. Use when the user is specifying priors, running MCMC, diagnosing chain convergence, or reporting posterior summaries — including hierarchical models, Bayesian structural models, and small-sample settings where priors regularize. Triggers on \"Bayesian estimation\", \"Bayesian inference\", \"MCMC\", \"Markov chain Monte Carlo\", \"Stan\", \"PyMC\", \"NumPyro\", \"prior\", \"posterior\", \"credible interval\", \"Bayesian structural\", \"", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/11-James-Traina-compound-science/skills/bayesian-estimation", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill bayesian-estimation"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "bayesian estimation", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/causal-inference", "name": "causal-inference", "kind": "skill", "official": false, "desc": "This skill covers causal inference methods in observational and quasi-experimental settings. Use when the user is implementing, choosing between, or debugging causal identification strategies — including instrumental variables, difference-in-differences, regression discontinuity, synthetic control, or matching estimators. Triggers on \"causal effect\", \"identification strategy\", \"instrumental variable\", \"2SLS\", \"GMM\", \"difference-in-differences\", \"DiD\", \"staggered treatment\", \"regression discontin", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/11-James-Traina-compound-science/skills/causal-inference", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill causal-inference"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "causal inference", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/10-Jill0099-causal-inference-mixtape", "name": "causal-inference-mixtape", "kind": "skill", "official": false, "desc": "This skill should be used when the user asks to \"implement a DiD regression\", \"write a causal inference pipeline\", \"set up an event study\", \"implement instrumental variables\", \"run a regression discontinuity design\", \"build a synthetic control model\", \"implement propensity score matching\", \"write parallel trends test\", \"implement Bacon decomposition\", or needs code templates for causal inference methods in Python, R, or Stata. Based on Scott Cunningham''s Causal Inference: The Mixtape.", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/10-Jill0099-causal-inference-mixtape", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill causal-inference-mixtape"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "causal inference", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/causal-ml", "name": "causal-ml", "kind": "skill", "official": false, "desc": "This skill covers causal machine learning methods in applied economics and quantitative social science. Use when implementing or choosing between modern ML-based causal estimators — including double machine learning, DML, partially linear models, interactive regression models, cross-fitting, Neyman orthogonality, debiased ML, causal forests, generalized random forest, GRF, honest causal trees, AIPW with machine learning, doubly robust with machine learning, DR-Learner, T-Learner, S-Learner, X-Le", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/11-James-Traina-compound-science/skills/causal-ml", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill causal-ml"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "causal machine learning", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/e1", "name": "e1", "kind": "skill", "official": false, "desc": "E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include qualitative analysis (thematic, grounded theory, content, narrative) Absorbed E4 (Analysis Code Generator) and E5 (Sensitivity Analysis - Primary Study) capabilities Use when: selecting statistical/qualitative methods, interpreting results, checking assumptions, generating code, sensitivity analysis Trigge", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/e1", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/e2", "name": "e2", "kind": "skill", "official": false, "desc": "Agent E2 - Qualitative Coding Specialist - Systematic coding and theme development. Covers codebook development, coding strategies, saturation assessment, and CAQDAS guidance.", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/e2", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e2"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/e3", "name": "e3", "kind": "skill", "official": false, "desc": "Agent E3 - Mixed Methods Integration Specialist - Qual-Quant data integration and meta-inference. Covers joint display creation, integration strategies, and legitimation techniques.", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/e3", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e3"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/empirical-playbook", "name": "empirical-playbook", "kind": "skill", "official": false, "desc": "This skill covers applied microeconomic empirical methods and research design. Use when the user is selecting an identification strategy, comparing estimators, running diagnostics, designing a research study, or evaluating an empirical strategy. Triggers on \"which method\", \"what estimator\", \"how to choose\", \"method comparison\", \"empirical strategy\", \"research design\", \"applied micro\", \"identification strategy\", \"power analysis\", \"design-based\", \"model-based\", \"minimum detectable effect\", \"specif", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/11-James-Traina-compound-science/skills/empirical-playbook", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill empirical-playbook"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "empirical methods", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/estimate", "name": "estimate", "kind": "skill", "official": false, "desc": "Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/11-James-Traina-compound-science/skills/estimate", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill estimate"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "estimation", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/f5", "name": "f5", "kind": "skill", "official": false, "desc": "Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance Triggers: verify humanization, check transformation, validate changes", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/f5", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill f5"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/g1", "name": "g1", "kind": "skill", "official": false, "desc": "VS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions. Uses OpenAlex + Crossref APIs for live metrics. Light VS applied: Avoids IF-centric recommendations + multi-dimensional matching strategy Use when: selecting target journals, planning submissions, comparing publication options Triggers: journal, submission, impact factor, academic journal, publication, submit", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/g1", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill g1"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/g2", "name": "g2", "kind": "skill", "official": false, "desc": "Publication Specialist - Writing, Review, Pre-registration & Quality Assurance Light VS applied: Avoids template-based writing + audience-specific message design Absorbed G3 (Peer Review Strategist), G4 (Pre-registration Composer), F1-F3 (Quality functions) capabilities Use when: writing abstracts, creating summaries, peer review response, pre-registration, reporting checklists, reproducibility Triggers: abstract, plain language, press release, summary, communication, peer review, revision, pre-", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/g2", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill g2"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/g5", "name": "g5", "kind": "skill", "official": false, "desc": "VS-Enhanced Academic Style Auditor - Academic Writing Quality Analysis Identifies 24+ writing patterns that reduce scholarly quality, adapted from Wikipedia AI Cleanup guidelines Use when: checking drafts before submission, improving academic writing quality, preparing for style improvement Triggers: writing quality, style audit, pattern check, writing review, academic style check", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/g5", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill g5"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/g6", "name": "g6", "kind": "skill", "official": false, "desc": "VS-Enhanced Academic Style Humanizer - Transforms writing patterns to achieve authentic scholarly voice Applies transformations from G5 analysis to create natural academic prose Use when: improving AI-assisted writing quality, preparing manuscripts, enhancing scholarly voice Triggers: humanize, transform, make natural, improve writing quality, improve style", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/g6", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill g6"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/game-theory", "name": "game-theory", "kind": "skill", "official": false, "desc": "This skill covers game-theoretic methods in structural econometrics and industrial organization. Use when the user is working with strategic interactions, equilibrium analysis, or game-theoretic structural models — including entry games, conduct testing, auction models with strategic bidding, bargaining, or matching markets. Triggers on \"Nash equilibrium\", \"subgame perfect\", \"best response\", \"strategic interaction\", \"entry game\", \"conduct testing\", \"auction\", \"mechanism design\", \"matching market", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/11-James-Traina-compound-science/skills/game-theory", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill game-theory"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "game theory", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/humanize", "name": "humanize", "kind": "skill", "official": false, "desc": "Humanization Pipeline Orchestrator v3.1 - Multi-pass 4-layer transformation pipeline Orchestrates G5 (Auditor), G6 (Humanizer), F5 (Verifier) in sequential passes Enforces checkpoints between every pass with mandatory AskUserQuestion Supports conservative (L1-2), balanced (L1-3), balanced-fast (L1-3 merged), aggressive (L1-4) modes Rich Checkpoint v2.0: section-level scores, selective humanization, target auto-stop G5+F5 parallel execution, section-selective humanization Triggers: humanize, huma", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/humanize", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill humanize"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/i0", "name": "i0", "kind": "skill", "official": false, "desc": "Systematic Review Pipeline Orchestrator - Coordinates systematic literature review automation Manages the complete 7-stage PRISMA 2020 pipeline from research question to RAG system Delegates to specialized agents (I1, I2, I3) while enforcing human checkpoints Use when: conducting systematic reviews, building knowledge repositories, PRISMA automation Triggers: systematic review, PRISMA, literature review automation", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/i0", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i0"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/11-James-Traina-compound-science/skills/identification-proofs", "name": "identification-proofs", "kind": "skill", "official": false, "desc": "This skill covers formal identification arguments and proofs in structural and reduced-form econometrics. Use when the user needs to prove or formalize that a parameter is identified — including writing identification propositions, stating regularity conditions, deriving rank conditions, or showing observational equivalence fails. Triggers on \"identification proof\", \"identification argument\", \"identify the parameter\", \"show identification\", \"identification condition\", \"exclusion restriction proo", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/11-James-Traina-compound-science/skills/identification-proofs", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill identification-proofs"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "identification proofs", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/universal-ma-codebook", "name": "universal-ma-codebook", "kind": "skill", "official": false, "desc": "Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review pipeline. Triggers: meta-analysis, codebook, data extraction, Hedges g, effect size", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/universal-ma-codebook", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill universal-ma-codebook"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/x1", "name": "x1", "kind": "skill", "official": false, "desc": "Research Guardian - Ethics Advisory & Bias Detection across all research stages Enhanced VS 3-Phase process: Surface-level screening, deep contextual analysis, constructive recommendations Use when: reviewing research ethics, checking for bias, assessing trustworthiness, QRP screening Triggers: ethics review, IRB, bias detection, QRP, trustworthiness, research integrity, p-hacking, HARKing", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/x1", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill x1"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:zebbern/claude-code-guide/skills/cross-examine", "name": "cross-examine", "kind": "skill", "official": false, "desc": "Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions \"grill me\".", "repo": "https://github.com/zebbern/claude-code-guide/tree/HEAD/skills/cross-examine", "install": ["npx skills add zebbern/claude-code-guide --skill cross-examine"], "stars": 4708, "pushed": "2026-11-14T00:35:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davidondrej/skills/skills/4x4", "name": "4x4", "kind": "skill", "official": false, "desc": "Pull 16 fast decisions out of the user with 4 sets of 4 open questions, then present an implementation plan. Only for risky changes, large product decisions, or large refactors. Run when the user types /4x4. Agents may suggest it in one line but never start it on their own.", "repo": "https://github.com/davidondrej/skills/tree/HEAD/skills/4x4", "install": ["npx skills add davidondrej/skills --skill 4x4"], "stars": 4309, "pushed": "2026-11-14T02:00:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davidondrej/skills/skills/before-building", "name": "before-building", "kind": "skill", "official": false, "desc": "Fire the moment the user proposes a build. Instantly surface the 1-3 consequential choices hidden in their idea. Can also be invoked with /before-building.", "repo": "https://github.com/davidondrej/skills/tree/HEAD/skills/before-building", "install": ["npx skills add davidondrej/skills --skill before-building"], "stars": 4309, "pushed": "2026-11-14T02:00:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davidondrej/skills/skills/better-prompt", "name": "better-prompt", "kind": "skill", "official": false, "desc": "Rewrite a prompt into a deeper version of the same task, the way a top professional would approach it. Use only when explicitly invoked with /better-prompt.", "repo": "https://github.com/davidondrej/skills/tree/HEAD/skills/better-prompt", "install": ["npx skills add davidondrej/skills --skill better-prompt"], "stars": 4309, "pushed": "2026-11-14T02:00:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davidondrej/skills/skills/decisions", "name": "decisions", "kind": "skill", "official": false, "desc": "Ask the agent to list all choices it made during the current work that it is not confident of. Manual-only; the user must ask for it by name.", "repo": "https://github.com/davidondrej/skills/tree/HEAD/skills/decisions", "install": ["npx skills add davidondrej/skills --skill decisions"], "stars": 4309, "pushed": "2026-11-14T02:00:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davidondrej/skills/skills/occams-razor", "name": "occams-razor", "kind": "skill", "official": false, "desc": "Stop overthinking and answer with what we actually know for sure, how you know, and a confidence %. Use for \"occams-razor\", or when the user asks what we actually know, whether something is really true, or tells you to stop overthinking.", "repo": "https://github.com/davidondrej/skills/tree/HEAD/skills/occams-razor", "install": ["npx skills add davidondrej/skills --skill occams-razor"], "stars": 4309, "pushed": "2026-11-14T02:00:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davidondrej/skills/skills/risky-changes", "name": "risky-changes", "kind": "skill", "official": false, "desc": "Verify assumptions before implementing large or risky changes to APIs, provider data, billing, pricing, quotas, or defaults. Use when a mistake could affect customers or the user asks if a change is safe to ship. Checks real-world impact beyond passing tests.", "repo": "https://github.com/davidondrej/skills/tree/HEAD/skills/risky-changes", "install": ["npx skills add davidondrej/skills --skill risky-changes"], "stars": 4309, "pushed": "2026-11-14T02:00:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davidondrej/skills/skills/stop-overthinking", "name": "stop-overthinking", "kind": "skill", "official": false, "desc": "Manually-invoked skill that stops overthinking and forces a short, practical decision. Use only when the user explicitly invokes stop-overthinking.", "repo": "https://github.com/davidondrej/skills/tree/HEAD/skills/stop-overthinking", "install": ["npx skills add davidondrej/skills --skill stop-overthinking"], "stars": 4309, "pushed": "2026-11-14T02:00:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/bro", "name": "bro", "kind": "skill", "official": false, "desc": "Restate the last message in plain human language, with no jargon. Use for /bro or when asked to say it plainly.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/bro", "install": ["npx skills add michael-denyer/pstack-claude --skill bro"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/figure-it-out", "name": "figure-it-out", "kind": "skill", "official": false, "desc": "Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use for /figure-it-out or 'figure it out'.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/figure-it-out", "install": ["npx skills add michael-denyer/pstack-claude --skill figure-it-out"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/in-your-own-words", "name": "in-your-own-words", "kind": "skill", "official": false, "desc": "Restate in your own words what you think the user's goals are and what problem they're trying to solve. Use for /in-your-own-words.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/in-your-own-words", "install": ["npx skills add michael-denyer/pstack-claude --skill in-your-own-words"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/interrogate", "name": "interrogate", "kind": "skill", "official": false, "desc": "Use for \\\"interrogate\\\", \\\"adversarial review\\\", \\\"multi-model review\\\", \\\"challenge this\\\", \\\"stress test this code\\\", \\\"find blind spots\\\", or \\\"tear this apart\\\". Adversaries try to break a change or design, and only findings proven by a run survive.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/interrogate", "install": ["npx skills add michael-denyer/pstack-claude --skill interrogate"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/poteto-mode", "name": "poteto-mode", "kind": "skill", "official": false, "desc": "poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/poteto-mode", "install": ["npx skills add michael-denyer/pstack-claude --skill poteto-mode"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-attack-the-premise", "name": "principle-attack-the-premise", "kind": "skill", "official": false, "desc": "Apply when two or more fixes that share one premise have failed the same gate. Write the premise down and test it directly before you write another fix that assumes it.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-attack-the-premise", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-attack-the-premise"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-boundary-discipline", "name": "principle-boundary-discipline", "kind": "skill", "official": false, "desc": "Apply when wiring validation, error handling, or framework adapters. Concentrate guards at system boundaries (CLI, config, network, external APIs); trust internal types and keep business logic in pure functions.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-boundary-discipline", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-boundary-discipline"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-build-the-lever", "name": "principle-build-the-lever", "kind": "skill", "official": false, "desc": "Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-build-the-lever", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-build-the-lever"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-encode-lessons-in-structure", "name": "principle-encode-lessons-in-structure", "kind": "skill", "official": false, "desc": "Apply when you catch yourself writing the same instruction a second time, or notice a recurring correction. Encode the rule as a lint, metadata flag, runtime check, or script instead of more text.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-encode-lessons-in-structure", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-encode-lessons-in-structure"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-exhaust-the-design-space", "name": "principle-exhaust-the-design-space", "kind": "skill", "official": false, "desc": "Apply when facing a novel UI interaction or architectural decision with no precedent in the codebase. Build 2-3 competing prototypes and compare side by side before committing.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-exhaust-the-design-space", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-exhaust-the-design-space"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-experience-first", "name": "principle-experience-first", "kind": "skill", "official": false, "desc": "Apply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-experience-first", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-experience-first"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-explain-the-number", "name": "principle-explain-the-number", "kind": "skill", "official": false, "desc": "Apply before you measure, and before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-explain-the-number", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-explain-the-number"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-fix-root-causes", "name": "principle-fix-root-causes", "kind": "skill", "official": false, "desc": "Apply when debugging. Trace each symptom back to the first place the system went wrong and fix it there. A guard is a fix only when the state it handles is legitimate.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-fix-root-causes", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-fix-root-causes"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-foundational-thinking", "name": "principle-foundational-thinking", "kind": "skill", "official": false, "desc": "Apply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-foundational-thinking", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-foundational-thinking"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-guard-the-context-window", "name": "principle-guard-the-context-window", "kind": "skill", "official": false, "desc": "Apply when context is filling up: large outputs, long files, repeated reads, fan-out planning. Route bulk to subagents; keep summaries in the main thread, not raw payloads.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-guard-the-context-window", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-guard-the-context-window"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-laziness-protocol", "name": "principle-laziness-protocol", "kind": "skill", "official": false, "desc": "Apply when refactoring, evaluating diff size, or tempted to add abstractions, layers, or signal threading. Bias toward deletion and the smallest change that solves the problem.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-laziness-protocol", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-laziness-protocol"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-make-operations-idempotent", "name": "principle-make-operations-idempotent", "kind": "skill", "official": false, "desc": "Apply when designing commands, lifecycle steps, or processing loops that run amid crashes, restarts, and retries. Converge to the same end state regardless of partial prior runs.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-make-operations-idempotent", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-make-operations-idempotent"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-migrate-callers-then-delete-legacy-apis", "name": "principle-migrate-callers-then-delete-legacy-apis", "kind": "skill", "official": false, "desc": "Apply when introducing a new internal API while old callers still exist. Migrate callers and delete the old API in the same wave instead of preserving compatibility layers.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-migrate-callers-then-delete-legacy-apis", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-migrate-callers-then-delete-legacy-apis"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-minimize-reader-load", "name": "principle-minimize-reader-load", "kind": "skill", "official": false, "desc": "Apply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-minimize-reader-load", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-minimize-reader-load"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/principle-model-the-domain", "name": "principle-model-the-domain", "kind": "skill", "official": false, "desc": "Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/principle-model-the-domain", "install": ["npx skills add michael-denyer/pstack-claude --skill principle-model-the-domain"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/sharpen", "name": "sharpen", "kind": "skill", "official": false, "desc": "Make a task deeper, not bigger, then rewrite the prompt. Use for /sharpen.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/sharpen", "install": ["npx skills add michael-denyer/pstack-claude --skill sharpen"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/show-me-your-work", "name": "show-me-your-work", "kind": "skill", "official": false, "desc": "Keep a reviewable decision trail for long-running or unattended work: a TSV log with one row per decision (what, why, evidence, result). Local by default; commit it when a reviewer needs the trail to trust the result. Use for /show-me-your-work, autonomous or multi-phase runs, or work a human reviews after stepping away.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/show-me-your-work", "install": ["npx skills add michael-denyer/pstack-claude --skill show-me-your-work"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/why", "name": "why", "kind": "skill", "official": false, "desc": "Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/why", "install": ["npx skills add michael-denyer/pstack-claude --skill why"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tradermonty/claude-trading-skills/skills/drawdown-circuit-breaker", "name": "drawdown-circuit-breaker", "kind": "skill", "official": false, "desc": "Evaluate account-level drawdown circuit breaker rules from trader-memory-core state and decide whether new trade risk is allowed today. Uses realized P&L, losing-streak cooldowns, and weekly/monthly drawdown limits without any external API.", "repo": "https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/drawdown-circuit-breaker", "install": ["npx skills add tradermonty/claude-trading-skills --skill drawdown-circuit-breaker"], "stars": 4283, "pushed": "2026-11-14T05:32:41Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tradermonty/claude-trading-skills/skills/strategy-pivot-designer", "name": "strategy-pivot-designer", "kind": "skill", "official": false, "desc": "Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.", "repo": "https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/strategy-pivot-designer", "install": ["npx skills add tradermonty/claude-trading-skills --skill strategy-pivot-designer"], "stars": 4283, "pushed": "2026-11-14T05:32:41Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tradermonty/claude-trading-skills/skills/trade-hypothesis-ideator", "name": "trade-hypothesis-ideator", "kind": "skill", "official": false, "desc": "Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. 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parcadei/Continuous-Claude-v3 --skill integration-theory"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/numerical-methods/interpolation", "name": "interpolation", "kind": "skill", "official": false, "desc": "Problem-solving strategies for interpolation in numerical methods", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/numerical-methods/interpolation", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill interpolation"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/measure-theory/lebesgue-measure", "name": "lebesgue-measure", "kind": "skill", "official": false, "desc": "Problem-solving strategies for lebesgue measure in measure theory", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/measure-theory/lebesgue-measure", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill lebesgue-measure"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/real-analysis/limits", "name": "limits", "kind": "skill", "official": false, "desc": "Problem-solving strategies for limits in real analysis", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/real-analysis/limits", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill limits"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/category-theory/limits-colimits", "name": "limits-colimits", "kind": "skill", "official": false, "desc": "Problem-solving strategies for limits colimits in category theory", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/category-theory/limits-colimits", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill limits-colimits"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/llm-tuning-patterns", "name": "llm-tuning-patterns", "kind": "skill", "official": false, "desc": "LLM Tuning Patterns", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/llm-tuning-patterns", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill llm-tuning-patterns"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math-help", "name": "math-help", "kind": "skill", "official": false, "desc": "Guide to the math cognitive stack - what tools exist and when to use each", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math-help", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill math-help"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/math-intuition-builder", "name": "math-intuition-builder", "kind": "skill", "official": false, "desc": "Develops mathematical understanding through examples, visualization, and analogy", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/math-intuition-builder", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill math-intuition-builder"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/math-model-selector", "name": "math-model-selector", "kind": "skill", "official": false, "desc": "Routes problems to appropriate mathematical frameworks using expert heuristics", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/math-model-selector", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill math-model-selector"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/math-progress-monitor", "name": "math-progress-monitor", "kind": "skill", "official": false, "desc": "Metacognitive check-ins during problem solving - detects when to pivot or persist", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/math-progress-monitor", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill math-progress-monitor"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/linear-algebra/matrices", "name": "matrices", "kind": "skill", "official": false, "desc": "Problem-solving strategies for matrices in linear algebra", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/linear-algebra/matrices", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill matrices"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/graph-number-theory/modular-arithmetic", "name": "modular-arithmetic", "kind": "skill", "official": false, "desc": "Problem-solving strategies for modular arithmetic in graph number theory", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/graph-number-theory/modular-arithmetic", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill modular-arithmetic"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/category-theory/natural-transformations", "name": "natural-transformations", "kind": "skill", "official": false, "desc": "Problem-solving strategies for natural transformations in category theory", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/category-theory/natural-transformations", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill natural-transformations"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/numerical-methods/numerical-integration", "name": "numerical-integration", "kind": "skill", "official": false, "desc": "Problem-solving strategies for numerical integration in numerical methods", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/numerical-methods/numerical-integration", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill numerical-integration"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/opc-architecture", "name": "opc-architecture", "kind": "skill", "official": false, "desc": "OPC Architecture Understanding", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/opc-architecture", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill opc-architecture"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/topology/open-sets", "name": "open-sets", "kind": "skill", "official": false, "desc": "Problem-solving strategies for open sets in topology", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/topology/open-sets", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill open-sets"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/functional-analysis/operator-theory", "name": "operator-theory", "kind": "skill", "official": false, "desc": "Problem-solving strategies for operator theory in functional analysis", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/functional-analysis/operator-theory", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill operator-theory"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/mathematical-logic/predicate-logic", "name": "predicate-logic", "kind": "skill", "official": false, "desc": "Problem-solving strategies for predicate logic in mathematical logic", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/mathematical-logic/predicate-logic", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill predicate-logic"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/premortem", "name": "premortem", "kind": "skill", "official": false, "desc": "Identify failure modes before they occur using structured risk analysis", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/premortem", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill premortem"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/graph-number-theory/prime-numbers", "name": "prime-numbers", "kind": "skill", "official": false, "desc": "Problem-solving strategies for prime numbers in graph number theory", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/graph-number-theory/prime-numbers", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill prime-numbers"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/mathematical-logic/proof-theory", "name": "proof-theory", "kind": "skill", "official": false, "desc": "Problem-solving strategies for proof theory in mathematical logic", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/mathematical-logic/proof-theory", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill proof-theory"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/mathematical-logic/propositional-logic", "name": "propositional-logic", "kind": "skill", "official": false, "desc": "Problem-solving strategies for propositional logic in mathematical logic", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/mathematical-logic/propositional-logic", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill propositional-logic"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/prove", "name": "prove", "kind": "skill", "official": false, "desc": "Formal theorem proving with research, testing, and verification phases", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/prove", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill prove"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/complex-analysis/residues", "name": "residues", "kind": "skill", "official": false, "desc": "Problem-solving strategies for residues in complex analysis", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/complex-analysis/residues", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill residues"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/abstract-algebra/rings", "name": "rings", "kind": "skill", "official": false, "desc": "Problem-solving strategies for rings in abstract algebra", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/abstract-algebra/rings", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill rings"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/numerical-methods/root-finding", "name": "root-finding", "kind": "skill", "official": false, "desc": "Problem-solving strategies for root finding in numerical methods", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/numerical-methods/root-finding", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill root-finding"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/rudin-real-complex-analysis", "name": "rudin-real-complex-analysis", "kind": "skill", "official": false, "desc": "Problem-solving with Rudin's Real and Complex Analysis textbook", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/rudin-real-complex-analysis", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill rudin-real-complex-analysis"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/odes-pdes/second-order-odes", "name": "second-order-odes", "kind": "skill", "official": false, "desc": "Problem-solving strategies for second order odes in odes pdes", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/odes-pdes/second-order-odes", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill second-order-odes"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/measure-theory/sigma-algebras", "name": "sigma-algebras", "kind": "skill", "official": false, "desc": "Problem-solving strategies for sigma algebras in measure theory", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/measure-theory/sigma-algebras", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill sigma-algebras"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/information-theory/source-coding", "name": "source-coding", "kind": "skill", "official": false, "desc": "Problem-solving strategies for source coding in information theory", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/information-theory/source-coding", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill source-coding"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/tldr-overview", "name": "tldr-overview", "kind": "skill", "official": false, "desc": "Get a token-efficient overview of any project using the TLDR stack", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/tldr-overview", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill tldr-overview"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/tldr-router", "name": "tldr-router", "kind": "skill", "official": false, "desc": "Maps questions to the optimal tldr command. Use this to pick the right layer", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/tldr-router", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill tldr-router"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/tldr-stats", "name": "tldr-stats", "kind": "skill", "official": false, "desc": "Show full session token usage, costs, TLDR savings, and hook activity", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/tldr-stats", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill tldr-stats"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/validate-agent", "name": "validate-agent", "kind": "skill", "official": false, "desc": "Validation agent that validates plan tech choices against current best practices", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/validate-agent", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill validate-agent"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/math/linear-algebra/vector-spaces", "name": "vector-spaces", "kind": "skill", "official": false, "desc": "Problem-solving strategies for vector spaces in linear algebra", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/math/linear-algebra/vector-spaces", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill vector-spaces"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/wiring", "name": "wiring", "kind": "skill", "official": false, "desc": "Wiring Verification", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/wiring", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill wiring"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/brainstorming", "name": "brainstorming", "kind": "skill", "official": false, "desc": "You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/brainstorming", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill brainstorming"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/context-fundamentals", "name": "context-fundamentals", "kind": "skill", "official": false, "desc": "This skill should be used when the user asks to \"understand context\", \"explain context windows\", \"design agent architecture\", \"debug context issues\", \"optimize context usage\", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/context-fundamentals", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill context-fundamentals"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/evaluating-machine-learning-models", "name": "evaluating-machine-learning-models", "kind": "skill", "official": false, "desc": "Evaluate trained machine learning models with the right metrics and comparison logic. Use for benchmark review, threshold selection, calibration, validation, and model comparison; not for feature engineering or leakage auditing.", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/evaluating-machine-learning-models", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill evaluating-machine-learning-models"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/explaining-machine-learning-models", "name": "explaining-machine-learning-models", "kind": "skill", "official": false, "desc": "Explain trained machine learning models through feature attribution, local explanations, and behavior summaries. Use as an explicit/manual helper once a model already exists, not for training ownership, leakage auditing, or general ML strategy selection.", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/explaining-machine-learning-models", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill explaining-machine-learning-models"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/math-tools", "name": "math-tools", "kind": "skill", "official": false, "desc": "Deterministic mathematical computation using SymPy. Use for ANY math operation requiring exact/verified results - basic arithmetic, algebra (simplify, expand, factor, solve equations), calculus (derivatives, integrals, limits, series), linear algebra (matrices, determinants, eigenvalues), trigonometry, number theory (primes, GCD/LCM, factorization), and statistics. Ensures mathematical accuracy by using symbolic computation rather than LLM estimation.", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/math-tools", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill math-tools"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "sympy", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/mathematical-logic-expert", "name": "mathematical-logic-expert", "kind": "skill", "official": false, "desc": "Expert in formal logic, model theory, computability, and foundations of mathematics", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/mathematical-logic-expert", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill mathematical-logic-expert"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/nowait-reasoning-optimizer", "name": "nowait-reasoning-optimizer", "kind": "skill", "official": false, "desc": "Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on \"optimize reasoning\", \"reduce thinking tokens\", \"efficient inference\", \"suppress reflection tokens\", or when working with verbose CoT outputs.", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/nowait-reasoning-optimizer", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill nowait-reasoning-optimizer"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "r1-style llms", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/performing-causal-analysis", "name": "performing-causal-analysis", "kind": "skill", "official": false, "desc": "Estimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including robustness checks and counterfactual plots. For choosing a study design before analysis, use designing-experiments instead.", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/performing-causal-analysis", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill performing-causal-analysis"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "causal analysis", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/senior-prompt-engineer", "name": "senior-prompt-engineer", "kind": "skill", "official": false, "desc": "World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/senior-prompt-engineer", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill senior-prompt-engineer"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/think-harder", "name": "think-harder", "kind": "skill", "official": false, "desc": "4-phase structured analysis wrapper for vibe pre-routing (compatible with claude-code-settings think-harder semantics).", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/think-harder", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill think-harder"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:foryourhealth111-pixel/Vibe-Skills/bundled/skills/writing-plans", "name": "writing-plans", "kind": "skill", "official": false, "desc": "Use when you have a spec or requirements for a multi-step task, before touching code", "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/HEAD/bundled/skills/writing-plans", "install": ["npx skills add foryourhealth111-pixel/Vibe-Skills --skill writing-plans"], "stars": 3816, "pushed": "2026-11-09T07:33:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ericosiu/ai-marketing-skills/autoresearch", "name": "autoresearch", "kind": "skill", "official": false, "desc": "Run Karpathy-style autoresearch optimization on any content. Generates 50+ variants, scores with a 5-expert simulated panel, evolves winners through multiple rounds, outputs optimized version + full experiment log. Use when optimizing landing pages, email sequences, ad copy, headlines, form pages, CTA text, or any conversion-focused content. Triggers on \"optimize this page\", \"run autoresearch\", \"score these variants\", \"A/B test this copy\".", "repo": "https://github.com/ericosiu/ai-marketing-skills/tree/HEAD/autoresearch", "install": ["npx skills add ericosiu/ai-marketing-skills --skill autoresearch"], "stars": 3814, "pushed": "2026-11-13T19:29:27Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ericosiu/ai-marketing-skills/content-ops", "name": "expert-panel", "kind": "skill", "official": false, "desc": "Score, evaluate, and iteratively improve any content or strategy using an auto-assembled panel of domain experts. Handles copy, sequences, landing pages, strategy docs, titles, charts, recruiting evaluations, or anything else that needs a quality gate. Recursively iterates until all scores hit 90+ (max 3 rounds). Use when asked to: \"expert panel this\", \"score this\", \"rate these variants\", \"quality check this\", \"panel review\", \"which version is better\", \"expert score\", \"evaluate this copy/strateg", "repo": "https://github.com/ericosiu/ai-marketing-skills/tree/HEAD/content-ops", "install": ["npx skills add ericosiu/ai-marketing-skills --skill expert-panel"], "stars": 3814, "pushed": "2026-11-13T19:29:27Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ericosiu/ai-marketing-skills/personal-strategic-signal-intelligence", "name": "personal-strategic-signal-intelligence", "kind": "skill", "official": false, "desc": "Turn an executive or operator's private reading, highlights, notes, social bookmarks, and applied work into source-grounded decision intelligence. Use when detecting attention drift, surfacing pre-decision signals, testing contradictions, converting bookmarks into builds, recombining founder IP, finding service-offer arbitrage, or mapping content negative space.", "repo": "https://github.com/ericosiu/ai-marketing-skills/tree/HEAD/personal-strategic-signal-intelligence", "install": ["npx skills add ericosiu/ai-marketing-skills --skill personal-strategic-signal-intelligence"], "stars": 3814, "pushed": "2026-11-13T19:29:27Z", "license": "MIT", "plat": "decision intelligence", "live": "Not checked (runs locally)"}, {"id": "skill:browserbase/skills/skills/optimize-agent-prompt", "name": "optimize-agent-prompt", "kind": "skill", "official": false, "desc": "Builds and improves Browserbase Agent API demos through an Autobrowse-style outer loop: run a fixed task, collect Agent messages and session logs, score the result, revise one system-prompt heuristic, and confirm convergence. Use when creating a Browserbase Agents demo or POC, optimizing an Agent system prompt, diagnosing flaky Agent runs, or applying auto-research/autobrowse to the Browserbase Agents API.", "repo": "https://github.com/browserbase/skills/tree/HEAD/skills/optimize-agent-prompt", "install": ["npx skills add browserbase/skills --skill optimize-agent-prompt"], "stars": 3757, "pushed": "2026-10-27T15:09:18Z", "license": null, "plat": "browserbase", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/all-skills/skills/feedback", "name": "feedback", "kind": "skill", "official": false, "desc": "Turn post-task feedback—even blunt or angry feedback—into an evidence-based, approval-gated improvement plan for the agent/user workflow. Use after agent work goes wrong, misses expectations, creates friction, or should improve in future. Never mutate during the feedback turn.", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/all-skills/skills/feedback", "install": ["npx skills add davepoon/buildwithclaude --skill feedback"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/foresight-intelligence/skills/hard-predict-future", "name": "hard-predict-future", "kind": "skill", "official": false, "desc": "Activate this agent for any future-oriented question that requires deep quantitative analysis, historical precedents, and structured scenario planning. Triggers include: \"Will [X]?\", \"Who will win [X]?\", \"What happens to [X]?\", prediction requests with high stakes, foresight analysis, STEEEP scenario planning, futures cone, competitive race analysis, technology adoption curves, geopolitical shifts, or any question about a future outcome that deserves rigorous multi-step analysis. This agent runs", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/foresight-intelligence/skills/hard-predict-future", "install": ["npx skills add davepoon/buildwithclaude --skill hard-predict-future"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/all-skills/skills/meeting-insights-analyzer", "name": "meeting-insights-analyzer", "kind": "skill", "official": false, "desc": "Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/all-skills/skills/meeting-insights-analyzer", "install": ["npx skills add davepoon/buildwithclaude --skill meeting-insights-analyzer"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/claude-ops/skills/ops-go", "name": "ops-go", "kind": "skill", "official": false, "desc": "Token-efficient morning briefing. Pre-gathers all data via shell scripts, then presents a unified business dashboard with prioritized actions.", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/claude-ops/skills/ops-go", "install": ["npx skills add davepoon/buildwithclaude --skill ops-go"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/all-skills/skills/rag-evaluation-harness", "name": "rag-evaluation-harness", "kind": "skill", "official": false, "desc": "Evaluate retrieval and citation behavior for RAG pipelines from deterministic JSONL fixtures. Use when an agent needs offline Recall@K, reciprocal rank, context precision, citation coverage, citation validity, diagnostics, Markdown/JSON reports, or threshold-gated evaluation in CI.", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/all-skills/skills/rag-evaluation-harness", "install": ["npx skills add davepoon/buildwithclaude --skill rag-evaluation-harness"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/foresight-intelligence/skills/soft-predict-future", "name": "soft-predict-future", "kind": "skill", "official": false, "desc": "Activate this skill for ANY future-oriented question. Triggers include: \"Will [X]?\", \"Who will win [X]?\", \"What happens to [X]?\", \"Can [X] succeed?\", \"What's the future of X?\", foresight analysis, scenario planning, STEEEP analysis, futures cone, prediction requests, or any question about a future outcome. Year is NOT required — the engine infers the horizon. Also activate when the user says \"predict\", \"forecast\", \"what are the odds\", \"scenario analysis\", or asks about competitive races, technol", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/foresight-intelligence/skills/soft-predict-future", "install": ["npx skills add davepoon/buildwithclaude --skill soft-predict-future"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/impl-validator", "name": "impl-validator", "kind": "skill", "official": false, "desc": "Independently check whether an implementation matches its stated goal and return PASS/WARN/FAIL with actionable issues. Use for second-opinion validation of an implementation or generated output.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/impl-validator", "install": ["npx skills add Ar9av/obsidian-wiki --skill impl-validator"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-narrate", "name": "wiki-narrate", "kind": "skill", "official": false, "desc": "Turn a wiki topic into a cited Markdown briefing, plain-language explanation, or progressive lecture. Use this skill for topic-based briefing, explanation, and lecture requests that must stay within the evidence compiled in an Obsidian vault.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-narrate", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-narrate"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-query", "name": "wiki-query", "kind": "skill", "official": false, "desc": "Search and synthesize answers from the compiled Obsidian wiki, including cited and multi-hop answers. Use for questions about existing wiki knowledge or fast index-only lookups, and for challenge requests (\"challenge this\", \"argue against X\", \"poke holes in my plan\") that look for the vault's own evidence against a plan. Supports named-vault routing such as wiki-query @work; not for ingesting new sources.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-query", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-query"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-rebuild", "name": "wiki-rebuild", "kind": "skill", "official": false, "desc": "Archive and rebuild wiki knowledge from source, or restore a prior archive. Use for full restart/recovery when incremental repair is inappropriate; this is broader and more destructive than ordinary update or lint.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-rebuild", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-rebuild"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-setup", "name": "wiki-setup", "kind": "skill", "official": false, "desc": "Initialize or repair an Obsidian wiki vault's required structure and configuration. Use for new-vault setup, .env/config creation, reconfiguration, or broken setup recovery.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-setup", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-setup"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-stage-commit", "name": "wiki-stage-commit", "kind": "skill", "official": false, "desc": "Review staged wiki writes and promote accepted pages to final locations when WIKI_STAGED_WRITES is enabled. Use for staging approval/commit; rejected pages return to _raw/ for editing.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-stage-commit", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-stage-commit"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-status", "name": "wiki-status", "kind": "skill", "official": false, "desc": "Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-status", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-status"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-switch", "name": "wiki-switch", "kind": "skill", "official": false, "desc": "List, create, or switch named Obsidian wiki vault profiles under the global config directory. Use when changing the active vault, checking which vault is active, or managing multi-vault profiles.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-switch", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-switch"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-synthesize", "name": "wiki-synthesize", "kind": "skill", "official": false, "desc": "Find recurring concept combinations across the wiki that lack an explicit synthesis page, then create cross-cutting synthesis pages. Use for knowledge synthesis after the vault has accumulated enough material.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-synthesize", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-synthesize"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-update", "name": "wiki-update", "kind": "skill", "official": false, "desc": "Sync knowledge from the current project into the Obsidian wiki. Use when work already in the current project should be distilled into the vault; named-vault routing includes @work update wiki. wiki-capture saves the current conversation and wiki-ingest handles external/new sources.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-update", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-update"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:wesammustafa/Claude-Code-Quest/examples/intermediate/01-first-skill/dot-claude/skills/five-whys", "name": "five-whys", "kind": "skill", "official": false, "desc": "Finds the root cause of a bug, failure or recurring problem by asking \"why\" until the answer is a cause you can fix. Use when the user asks why something keeps happening, or wants the root cause rather than a quick fix.", "repo": "https://github.com/wesammustafa/Claude-Code-Quest/tree/HEAD/examples/intermediate/01-first-skill/dot-claude/skills/five-whys", "install": ["npx skills add wesammustafa/Claude-Code-Quest --skill five-whys"], "stars": 3699, "pushed": "2026-11-13T16:08:26Z", "license": "NOASSERTION", "plat": "github", "live": "Not checked (runs locally)"}, {"id": "skill:wesammustafa/Claude-Code-Quest/examples/advanced/06-share-your-setup/plugins/team-kit/skills/onboard", "name": "onboard", "kind": "skill", "official": false, "desc": "Explains this repository's shared Claude Code setup to a new teammate, covering what is committed and shared, what stays personal, and what the team-kit plugin adds. Use when someone asks how the team's Claude Code setup works or what they get by cloning the repository.", "repo": "https://github.com/wesammustafa/Claude-Code-Quest/tree/HEAD/examples/advanced/06-share-your-setup/plugins/team-kit/skills/onboard", "install": ["npx skills add wesammustafa/Claude-Code-Quest --skill onboard"], "stars": 3699, "pushed": "2026-11-13T16:08:26Z", "license": "NOASSERTION", "plat": "github", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-common", "name": "ccf-common", "kind": "skill", "official": false, "desc": "Required shared preflight for every CCFA skill after ccf-humanization: apply routing, scope, prerequisites, evidence rules, handoffs, and artifact contracts. Also maintain and audit these shared rules. Research deliverables remain with their specialist owners.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-common", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-common"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-experiment-designer", "name": "ccf-experiment-designer", "kind": "skill", "official": false, "desc": "Design and interpret CCF experiments: datasets, baselines, metrics, ablations, run requirements, observed feedback, and result-table contents. Use for 设计实验, 消融, benchmark planning, 实验结果分析, and research evidence design. Research engineer owns code implementation, reproduction, and training diagnostics; orchestrator coordinates campaigns.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-experiment-designer", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-experiment-designer"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-humanization", "name": "ccf-humanization", "kind": "skill", "official": false, "desc": "Required first preflight before every CCFA skill, including research, review, retrieval, experiments, visuals, and maintenance. Keep reasoning and communication direct, remove empty defensive framing, and preserve evidence and uncertainty. Also use for 去防御性 and 论文人性化. Apply prose edits only within the authorized task; specialist skills retain ownership.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-humanization", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-humanization"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-idea-optimizer", "name": "ccf-idea-optimizer", "kind": "skill", "official": false, "desc": "Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans. Use for 优化idea, 具象化idea, 找方向, 方向探索, and rescue routes when development is the requested deliverable. Judging whether an idea is worthwhile, novel, or coherent belongs to ccf-idea-reviewer even without scores; manuscript edits belong to ccf-paper-writer.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-idea-optimizer", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-optimizer"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-idea-reviewer", "name": "ccf-idea-reviewer", "kind": "skill", "official": false, "desc": "Assess research ideas for value, novelty, insight, and mechanism. Use for 思路审核, 靠谱吗, 值得做吗, 创新够不够, idea review, scoring, and ranking; no numeric-score request is needed. Default to concept-only review without experiment assessment, including ideas extracted from manuscripts. Developing an idea belongs to ccf-idea-optimizer; evaluating manuscript evidence or writing belongs to ccf-paper-reviewer.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-idea-reviewer", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-reviewer"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-integrity-auditor", "name": "ccf-integrity-auditor", "kind": "skill", "official": false, "desc": "Audit existing CCF claims, numbers, terminology, and citations against supplied or verified evidence. Use for 引用核验, claim审计, 数字一致性, and BibTeX/context checks. Full scientific review belongs to ccf-paper-reviewer; new literature discovery belongs to ccf-literature-searcher.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-integrity-auditor", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-integrity-auditor"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-literature-monitor", "name": "ccf-literature-monitor", "kind": "skill", "official": false, "desc": "Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap. Use for 竞品监控, 新论文追踪, 论文跟踪, and recurring novelty watch. Give dated evidence and changes since the prior scan. Broad related-work retrieval belongs to ccf-literature-searcher.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-literature-monitor", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-literature-monitor"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-literature-searcher", "name": "ccf-literature-searcher", "kind": "skill", "official": false, "desc": "Find and verify external literature, prior art, datasets, benchmarks, and citation candidates. Use for 文献检索, 相关工作, benchmark搜索, and research opportunity maps. Recurring recent-paper watch belongs to ccf-literature-monitor; existing-citation audits, manuscript assessment, and result schemas have separate owners.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-literature-searcher", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-literature-searcher"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-paper-reviewer", "name": "ccf-paper-reviewer", "kind": "skill", "official": false, "desc": "Review manuscript claims, evidence, and writing without rewriting. Use for 文章审核, 审稿, 稿件有什么硬伤, 结论站得住吗, 投稿成熟度, writing review, and version comparison. Return a structured scientific or writing review; scores need not be explicitly requested. Concept-only judgment belongs to ccf-idea-reviewer even with a full PDF; requested prose edits belong to ccf-paper-writer.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-paper-reviewer", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-paper-reviewer"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-paper-to-exemplar", "name": "ccf-paper-to-exemplar", "kind": "skill", "official": false, "desc": "Distill supplied paper PDFs into writing exemplar cards and register a requested personal library. Use for PDF to writing exemplar, 写作范例, and reusable paper-writing patterns. Preserve attribution; transfer argument structure and selected language conventions without copying scientific claims. Figure reconstruction, manuscript drafting, and review have separate owners.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-paper-to-exemplar", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-paper-to-exemplar"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-paper-writer", "name": "ccf-paper-writer", "kind": "skill", "official": false, "desc": "Draft, revise, polish, compress, or presentation-adapt CCF manuscript prose. Use for 写作, 润色论文, research documents to complete papers, 完整初稿, 实验留空, 改写, 压缩论文, abstracts, sections, and slides. Draft content before fitting pages; preserve evidence and format. Assessment without rewriting belongs to ccf-paper-reviewer; rebuttal belongs to ccf-rebuttal-writer.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-paper-writer", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-paper-writer"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-pipeline-orchestrator", "name": "ccf-pipeline-orchestrator", "kind": "skill", "official": false, "desc": "Plan or coordinate CCF research stages, goals, gates, artifacts, and ccfa.yaml state. Use for 任务拆解, 流程规划, project status, end-to-end coordination, and explicitly requested autonomous research, autoresearch, or 自主科研迭代. Coordinate hypotheses, engineering, experiments, and feedback within the task budget; research engineer owns code and training.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-pipeline-orchestrator", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-pipeline-orchestrator"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-project-scaffolder", "name": "ccf-project-scaffolder", "kind": "skill", "official": false, "desc": "Initialize CCF project folders, LaTeX templates, artifact directories, and ccfa.yaml. Use for 项目初始化, 目录搭建, and paper template setup. Preserve existing files. Research codebase selection and training environments belong to ccf-research-engineer; workflow planning belongs to ccf-pipeline-orchestrator.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-project-scaffolder", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-project-scaffolder"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-rebuttal-writer", "name": "ccf-rebuttal-writer", "kind": "skill", "official": false, "desc": "Write CCF rebuttals, author responses, revision ledgers, response letters, and resubmission plans. Use for 审稿意见回复, rebuttal, revision ledger, and 重投迁移. Ground promises in feasible changes and actual evidence. Ordinary manuscript writing has a separate owner.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-rebuttal-writer", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-rebuttal-writer"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-research-engineer", "name": "ccf-research-engineer", "kind": "skill", "official": false, "desc": "Implement and debug research code, select suitable codebases, reproduce baselines, map mechanisms into model architecture, and optimize training from measurements. Use for 科研编码, 论文复现, codebase选型, 模型实现, 训练调试, 显存/吞吐优化, and research dependency conflicts. Experiment protocols belong to designer; campaign coordination belongs to orchestrator.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-research-engineer", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-research-engineer"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-skill-forger", "name": "ccf-skill-forger", "kind": "skill", "official": false, "desc": "Maintain and audit Codex/CCFA skills, triggers, references, scripts, docs/SVG diagrams, installation dependencies, and release validation. Use for skill维护, GPT model adaptation, and family routing cleanup. Do not perform research writing or review.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-skill-forger", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-skill-forger"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:mikubaka88/CCFA-Skills/ccf-submission-checker", "name": "ccf-submission-checker", "kind": "skill", "official": false, "desc": "Check CCF venue rules and submission packages: template, pages, anonymity, PDF build, metadata, and reproducibility. Use for 投稿检查, 会议格式, page limits, and artifact readiness. Verify current official rules for the exact venue/year/track. Manuscript polishing belongs to ccf-paper-writer.", "repo": "https://github.com/mikubaka88/CCFA-Skills/tree/HEAD/ccf-submission-checker", "install": ["npx skills add mikubaka88/CCFA-Skills --skill ccf-submission-checker"], "stars": 3562, "pushed": "2026-11-12T15:17:27Z", "license": "MIT", "plat": "ccf", "live": "Not checked (runs locally)"}, {"id": "skill:Jakeschincariol/linkedin-agent-skill/skills/li-human", "name": "li-human", "kind": "skill", "official": false, "desc": "Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, \"does this sound like AI\", \"remove the em dashes\", \"de-slop this\", \"will this get flagged\", or before any LinkedIn post, comment, reply or DM is shown to the user.", "repo": "https://github.com/Jakeschincariol/linkedin-agent-skill/tree/HEAD/skills/li-human", "install": ["npx skills add Jakeschincariol/linkedin-agent-skill --skill li-human"], "stars": 3545, "pushed": "2026-09-17T11:27:52Z", "license": "MIT", "plat": "linkedin", "live": "Not checked (runs locally)"}, {"id": "skill:nano-muse/nanoMuse/nanomuse/skills/builtin/compare-options", "name": "compare-options", "kind": "skill", "official": false, "desc": "Compare two to five options (products, plans, places, tools, offers) on the criteria that matter to the user, in a table the user can re-weight, with a recommendation. Use when the user asks which to pick, for a comparison, or \"X vs Y\".", "repo": "https://github.com/nano-muse/nanoMuse/tree/HEAD/nanomuse/skills/builtin/compare-options", "install": ["npx skills add nano-muse/nanoMuse --skill compare-options"], "stars": 3474, "pushed": "2026-11-13T06:49:04Z", "license": "GPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:xstongxue/best-skills/skills/skill-prompt-convert", "name": "skill-prompt-convert", "kind": "skill", "official": false, "desc": "在 Skill（SKILL.md）与 Prompt（聊天框指令）两种格式之间相互转换。支持 Skill→Prompt 与 Prompt→Skill 双向转换，保持核心信息零丢失。当用户提到 Skill 转 Prompt、Prompt 转 Skill、格式互转、SKILL.md 转换时使用。", "repo": "https://github.com/xstongxue/best-skills/tree/HEAD/skills/skill-prompt-convert", "install": ["npx skills add xstongxue/best-skills --skill skill-prompt-convert"], "stars": 3174, "pushed": "2026-09-13T05:04:49Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:plugin87/ux-ui-agent-skills/.claude/skills/critique", "name": "critique", "kind": "skill", "official": false, "desc": "Adversarial design critique of the current work. Render it, look at it, and argue for rejection. Run after the gates are green, never instead of them.", "repo": "https://github.com/plugin87/ux-ui-agent-skills/tree/HEAD/.claude/skills/critique", "install": ["npx skills add plugin87/ux-ui-agent-skills --skill critique"], "stars": 3171, "pushed": "2026-11-10T07:20:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:plugin87/ux-ui-agent-skills/.claude/skills/gate", "name": "gate", "kind": "skill", "official": false, "desc": "Run the one-command quality gate and report the real N/N result. Use before claiming any build/review is done.", "repo": "https://github.com/plugin87/ux-ui-agent-skills/tree/HEAD/.claude/skills/gate", "install": ["npx skills add plugin87/ux-ui-agent-skills --skill gate"], "stars": 3171, "pushed": "2026-11-10T07:20:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:plugin87/ux-ui-agent-skills/.claude/skills/governance", "name": "governance", "kind": "skill", "official": false, "desc": "Govern how the design system evolves (SemVer for tokens/components, the contribution workflow, deprecation policy, and change communication). Use when the user wants to add/promote/deprecate a component or token, decide a version bump, set up a contribution process, or keep the system from fragmenting.", "repo": "https://github.com/plugin87/ux-ui-agent-skills/tree/HEAD/.claude/skills/governance", "install": ["npx skills add plugin87/ux-ui-agent-skills --skill governance"], "stars": 3171, "pushed": "2026-11-10T07:20:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:plugin87/ux-ui-agent-skills/.claude/skills/grill-me", "name": "grill-me", "kind": "skill", "official": false, "desc": "Interrogate the brief before a line is built. Ask only the questions whose answers change the work, and put every unasked decision on the record as a stated assumption.", "repo": "https://github.com/plugin87/ux-ui-agent-skills/tree/HEAD/.claude/skills/grill-me", "install": ["npx skills add plugin87/ux-ui-agent-skills --skill grill-me"], "stars": 3171, "pushed": "2026-11-10T07:20:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:plugin87/ux-ui-agent-skills/.claude/skills/ship", "name": "ship", "kind": "skill", "official": false, "desc": "Pre-release gate. Run the full gate, responsive + render checks, then produce the release checklist (README badge/current/changelog). Use before tagging a release.", "repo": "https://github.com/plugin87/ux-ui-agent-skills/tree/HEAD/.claude/skills/ship", "install": ["npx skills add plugin87/ux-ui-agent-skills --skill ship"], "stars": 3171, "pushed": "2026-11-10T07:20:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/orchestrate/ad-creative-builder", "name": "ad-creative-builder", "kind": "skill", "official": false, "desc": "Use when the user asks to \"write ad copy\", \"generate RSA headlines\", or \"build ad creative at volume\"; produces ad units — RSA headlines/descriptions, hooks, and an angle matrix — message-matched to the destination landing page. Not for scoring an ad account — use ad-account-auditor; not for the post-click page — use landing-optimizer; not for organic articles — use content-writer. 广告创意/广告文案/RSA标题", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/orchestrate/ad-creative-builder", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill ad-creative-builder"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/orchestrate/ad-test-designer", "name": "ad-test-designer", "kind": "skill", "official": false, "desc": "Use when the user asks to \"design an A/B test\", \"set up a creative/landing test\", \"run an incrementality test\", or \"is this result statistically and practically material?\"; produces a hypothesis, variant matrix, sample-size/duration/power plan, and a documented effect/uncertainty read from own exported results. It applies only a precommitted owner-approved action rule; the statistical helper never chooses a business action. Not for producing variants — use ad-creative-builder; not for reading ba", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/orchestrate/ad-test-designer", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill ad-test-designer"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/scale/attribution-reconciler", "name": "attribution-reconciler", "kind": "skill", "official": false, "desc": "Use when platform-reported conversions disagree with GA4/ecommerce, when you suspect Meta and Google are double-counting the same sales, or for a standing (monthly) reconciliation workbook that de-dups stacked credit against an order-ID truth set, normalizes attribution windows and currency, compares attribution models, and reads incrementality from a geo/holdout test. Not for the point-in-time R2 veto or RQS gate — use ad-account-auditor; not for the ROI/ROAS ratio math itself — use roi-calcula", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/scale/attribution-reconciler", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill attribution-reconciler"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/research/audience-segment-builder", "name": "audience-segment-builder", "kind": "skill", "official": false, "desc": "Use when the user asks to \"build audience segments from my customer list\", \"make value-based / lookalike seed lists\", \"set up exclusion / suppression segments\", or \"map audiences to funnel stages across platforms\"; turns the user''s OWN customer/CRM/GA4 export into seed audiences, value-based lookalike SEED lists, exclusion/suppression segments, and a cross-platform funnel-stage targeting map, informing the ROAS A (Audience) dimension. Not for building account structure or match types — use camp", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/research/audience-segment-builder", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill audience-segment-builder"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/orchestrate/bid-strategy-planner", "name": "bid-strategy-planner", "kind": "skill", "official": false, "desc": "Use when the user asks to \"pick a bid strategy\", \"set a tCPA/tROAS target\", or \"plan the learning-phase entry\"; produces a bid-strategy choice (tCPA / tROAS / max-conversions / manual CPC), the starting target math, a portfolio grouping map, and a learning-phase entry plan. Not for splitting the budget across campaigns — use budget-optimizer; not for in-flight pacing/scale moves — use budget-pacing-monitor; not for scoring the account — use ad-account-auditor. 出价策略/tCPA目标/tROAS/学习期", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/orchestrate/bid-strategy-planner", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill bid-strategy-planner"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/scale/budget-pacing-monitor", "name": "budget-pacing-monitor", "kind": "skill", "official": false, "desc": "Use when the user asks to \"check pacing\", \"am I over/under-spending\", \"is this campaign on track to hit budget\", or \"why did spend spike/stall mid-flight\"; returns a spend-vs-target-curve read, learning-phase status, an over/under-delivery call, and a reallocation trigger. Not for initial budget allocation — use budget-optimizer; not for choosing the bid strategy — use bid-strategy-planner; not for the RQS gate — use ad-account-auditor. 付费广告预算节奏监控/跑量过快过慢/在途配速", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/scale/budget-pacing-monitor", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill budget-pacing-monitor"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/research/campaign-architect", "name": "campaign-architect", "kind": "skill", "official": false, "desc": "Use when the user asks to \"plan my paid account structure\", \"pick Search vs PMax\", \"lay out ad groups / asset groups\", or \"audit paid-vs-organic cannibalization\"; designs campaign-type selection, ad-group/asset-group layout, targeting + match types, negative/exclusion hygiene, and a paid↔organic overlap audit, and scores the ROAS A (Audience) dimension + structure. Not for computing the final RQS — use ad-account-auditor; not for budget split — use budget-optimizer; not for organic site architec", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/research/campaign-architect", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill campaign-architect"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/deliver/cold-outbound-sequencer", "name": "cold-outbound-sequencer", "kind": "skill", "official": false, "desc": "Use when the user asks to \"build a B2B cold-outbound sequence\", \"design reply-triage branching\", \"plan a domain warmup / sending throttle\", or \"make my outbound CAN-SPAM / opt-in compliant\"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a warmup + send-throttle ramp schedule, jurisdiction opt-in/CAN-SPAM guardrails (guidance, not legal advice), and a SEND S-dimension read. Not for B2C lifecycle flows — use email-sequence", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/deliver/cold-outbound-sequencer", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill cold-outbound-sequencer"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/activate/conversion-value-mapper", "name": "conversion-value-mapper", "kind": "skill", "official": false, "desc": "Use when the user asks to \"set up conversion values so tROAS optimizes profit not orders\", \"map margin onto my purchase value\", \"build value rules for lead / phone / signup conversions\", or \"stop bidding to revenue when I care about profit\"; defines and QAs the conversion VALUE model — per-conversion values, margin/net-value adjustment, static-vs-dynamic value rules, proxy values for non-revenue actions, and a value-vs-count sanity check — as a value-model spec plus a pre-launch value QA sheet. ", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/activate/conversion-value-mapper", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill conversion-value-mapper"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/engage/dynamic-content-personalizer", "name": "dynamic-content-personalizer", "kind": "skill", "official": false, "desc": "Use when the user asks to \"personalize the email\", \"add merge tags / dynamic content\", \"set up conditional blocks per segment\", or \"make first-name and product-recommendation fields fall back safely\"; produces a merge-tag map with per-tag fallbacks, conditional-block rules with per-segment variations, a fallback-safety audit, and a PII guard on what may render, informing the SEND E (Engagement/personalization) dimension. Not for building the segments — use list-segment-builder; not for writing t", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/engage/dynamic-content-personalizer", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill dynamic-content-personalizer"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/engage/email-creative-builder", "name": "email-creative-builder", "kind": "skill", "official": false, "desc": "Use when the user asks to \"write the email\", \"draft subject lines\", or \"build email creative\"; produces the pre-click unit — subject-line variants + preheader, body copy, one clear CTA, and a plain-text alt — message-matched to the destination page and claims-ledger-aware. Not for pre-scoring or ranking subject-line variants (spam/truncation/render pre-score) — use subject-line-lab; not for scoring the email or computing EQS — use email-quality-auditor; not for the multi-step flow — use email-se", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/engage/email-creative-builder", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill email-creative-builder"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/deliver/email-quality-auditor", "name": "email-quality-auditor", "kind": "skill", "official": false, "desc": "Use when the user asks to \"audit an email program\" or \"is this campaign safe to send\"; runs a typed 20-item SEND profile with authentication, consent, opt-out, and claim veto checks on own evidence. Not for building deliverability setup — use deliverability-qa; not for designing lifecycle flows — use email-sequence-designer. 邮件质量审计/EQS评分/发送前放行", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/deliver/email-quality-auditor", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill email-quality-auditor"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/engage/email-render-builder", "name": "email-render-builder", "kind": "skill", "official": false, "desc": "Use when the user asks to \"build the email HTML\", \"make this email responsive\", \"fix dark-mode rendering\", or \"QA the email across clients\"; produces the coded HTML build — a responsive table layout, dark-mode + accessibility pass, a client-render matrix, image-block fallbacks, and a plain-text parity check. Not for writing the copy — use email-creative-builder; not for scoring the email or computing EQS — use email-quality-auditor. 邮件HTML/响应式邮件/暗色模式渲染", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/engage/email-render-builder", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill email-render-builder"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/nurture/email-sequence-designer", "name": "email-sequence-designer", "kind": "skill", "official": false, "desc": "Use when the user asks to \"design a welcome flow\", \"set up an abandoned-cart sequence\", \"build a light re-engagement branch inside a lifecycle flow\", or \"plan a cold-outbound sequence\"; produces general lifecycle automation flows (welcome, cart, browse-abandon, post-purchase, in-flow re-engagement, B2B cold outbound) with trigger, step timing, branch/exit conditions, goal, frequency governance (send caps, quiet hours, fatigue guardrail), a sunset path, and a SEND N-dimension score. Not for the c", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/nurture/email-sequence-designer", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill email-sequence-designer"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/scale/fatigue-frequency-manager", "name": "fatigue-frequency-manager", "kind": "skill", "official": false, "desc": "Use when the user asks to \"is my ad fatiguing\", \"why is CTR dropping at scale\", or \"should I rotate creative / widen the audience\"; reads frequency, CTR and CVR decay against an early-flight baseline and returns Rotate-creative / Widen-audience / Hold triggers with a per-ad-set fatigue read. Not for building the replacement creative — use ad-creative-builder; not for the RQS score or vetoes — use ad-account-auditor. 广告疲劳检测/频次管理/换素材还是扩人群", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/scale/fatigue-frequency-manager", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill fatigue-frequency-manager"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/deliver/inbox-placement-monitor", "name": "inbox-placement-monitor", "kind": "skill", "official": false, "desc": "Use when the user asks to \"track where my emails are actually landing after I send\", \"read my seed-list inbox vs spam vs promotions results\", \"trend my Gmail Postmaster / Microsoft SNDS reputation\", or \"did placement drop after my last send\"; produces a per-provider inbox/spam/promotions placement read, a domain/IP reputation trend from Postmaster + SNDS, a send-over-send delta with named regressions, and a reusable SEND-S placement snapshot on your own exported telemetry. Not for the pre-send S", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/deliver/inbox-placement-monitor", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill inbox-placement-monitor"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/orchestrate/landing-experience-checker", "name": "landing-experience-checker", "kind": "skill", "official": false, "desc": "Use when the user asks to \"pre-launch check the landing page\", \"run a Quality-Score preflight\", or \"verify ad-to-page message match before launch\"; produces an ad↔page continuity report — message-match gaps, above-the-fold check, page-speed read, form-friction count, mobile-render flags — as a pass/fix punch list. Not for redesigning or rewriting the page — use landing-optimizer; not for scoring the account or the RQS — use ad-account-auditor. 落地页体验预检/广告落地页一致性检查", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/orchestrate/landing-experience-checker", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill landing-experience-checker"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/nurture/newsletter-monetization-planner", "name": "newsletter-monetization-planner", "kind": "skill", "official": false, "desc": "Use when the user asks to \"monetize my newsletter\", \"build a sponsorship rate card\", or \"model paid-subscription revenue\"; produces a revenue model (paid tiers, ad/sponsorship inventory + CPM/flat rate card, referral/boost loops), a list-growth ↔ revenue projection, and honest-offer / disclosure checks for the SEND-D lever. Not for scoring the whole program or running D1 — use email-quality-auditor; not for the return math — use roi-calculator; not for the post-click page — use landing-optimizer", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/nurture/newsletter-monetization-planner", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill newsletter-monetization-planner"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/scale/paid-measurement-loop", "name": "paid-measurement-loop", "kind": "skill", "official": false, "desc": "Use when the user asks to \"read back\" a paid campaign change, \"did this ad change work\", or \"compare ROAS/CPA before and after\"; reads ROAS/CPA against a control over a fixed readback window and returns a Promote / Keep-testing / Rollback / Unproven readback decision with the math delegated to roi-calculator. Not for RQS scoring or veto adjudication — use ad-account-auditor; not for the ROI ratio math — use roi-calculator; not for cross-channel rollups — use performance-analyzer. 付费广告复盘/ROAS回看/投", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/scale/paid-measurement-loop", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill paid-measurement-loop"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/activate/placement-exclusion-manager", "name": "placement-exclusion-manager", "kind": "skill", "official": false, "desc": "Use when the user asks to \"build my brand-safety exclusion lists\", \"set placement / topic / content exclusions before launch\", \"add network and audience exclusions\", or \"prep the A1 brand-safety evidence for the auditor\"; produces a placement/network exclusion list, a content-suitability & sensitive-topic block list, an audience/negative-audience exclusion set, and a packaged A1 brand/placement-safety evidence file for the gate. Not for building the audiences you target — use audience-segment-bu", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/activate/placement-exclusion-manager", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill placement-exclusion-manager"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/nurture/preference-frequency-manager", "name": "preference-frequency-manager", "kind": "skill", "official": false, "desc": "Use when the user asks to \"build a preference center\", \"set up a frequency opt-down ladder\", \"give people a step-down instead of unsubscribe\", or \"design a topic/cadence preference page\"; produces a preference-center field spec, a frequency/topic opt-down ladder (down-tier paths that substitute for a hard unsubscribe), a preference-to-suppression mapping, and a SEND N-dimension sub-item note on preference-center / frequency options offered. Not for the lifecycle flow map or cadence governance — ", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/nurture/preference-frequency-manager", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill preference-frequency-manager"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/research/product-feed-optimizer", "name": "product-feed-optimizer", "kind": "skill", "official": false, "desc": "Use when the user asks to \"optimize my Shopping feed\", \"fix product disapprovals\", \"improve product titles/attributes\", or \"build feed-driven PMax asset groups\"; audits and rewrites the Shopping/Performance Max product feed — title/description patterns, required and recommended attributes, GTIN/availability/price hygiene, disapproval triage, and feed-driven asset-group / listing-group structure — informing the ROAS O (Offer) dimension. Not for text ad copy — use ad-creative-builder; not for scor", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/research/product-feed-optimizer", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill product-feed-optimizer"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/ad/research/search-term-miner", "name": "search-term-miner", "kind": "skill", "official": false, "desc": "Use when the user asks to \"mine my search terms\", \"find new keywords from converting queries\", \"build a negative-keyword list\", or \"cut wasted paid spend\"; harvests converting queries into new keywords/ad-groups, builds a standing negative-keyword list and an n-gram waste report from the search-terms export, and delivers a maintenance diff (add / negate / move). Not for account structure — use campaign-architect; not for budget split — use budget-optimizer; not for computing the final RQS — use ", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/ad/research/search-term-miner", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill search-term-miner"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/deliver/send-experiment-designer", "name": "send-experiment-designer", "kind": "skill", "official": false, "desc": "Use when the user asks to \"design an email A/B test\", \"set up a multivariate subject/CTA test\", \"run a send-time test\", \"build a hold-out group\", or \"is this email result statistically and practically material?\"; produces a falsifiable hypothesis, one-variable-per-cell matrix, sample-size/MDE/duration/power plan, and an effect/uncertainty read from own ESP data. Applies only a precommitted owner-approved action rule; the helper never chooses a business action. Not for EQS/vetoes or writing the e", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/deliver/send-experiment-designer", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill send-experiment-designer"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/email/engage/subject-line-lab", "name": "subject-line-lab", "kind": "skill", "official": false, "desc": "Use when the user asks to \"generate subject line variants\", \"pre-score my subject lines\", or \"will this subject get truncated / trigger spam filters\"; produces a labeled subject + preheader variant set and a per-variant heuristic pre-score card — spam-trigger flags, length/truncation across desktop + mobile, emoji-count, and the inbox preview render (from-name + subject + preheader) — before any test is run. Not for the body copy or CTA — use email-creative-builder; not for the A/B test design o", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/email/engage/subject-line-lab", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill subject-line-lab"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aiwithremy/claude-skills-llm-council", "name": "llm-council", "kind": "skill", "official": false, "desc": "Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict. Based on Karpathy's LLM Council methodology. MANDATORY TRIGGERS: 'council this', 'run the council', 'war room this', 'pressure-test this', 'stress-test this', 'debate this'. STRONG TRIGGERS (use when combined with a real decision or tradeoff): 'should I X or Y', 'which option', 'what would you do', 'is this the right move', 'vali", "repo": "https://github.com/aiwithremy/claude-skills-llm-council", "install": ["npx skills add aiwithremy/claude-skills-llm-council --skill llm-council"], "stars": 3035, "pushed": "2026-04-26T01:08:39Z", "license": null, "plat": "llm-council", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/pro-workflow/skills/context-engineering", "name": "context-engineering", "kind": "skill", "official": false, "desc": "Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.", "repo": "https://github.com/rohitg00/pro-workflow/tree/HEAD/skills/context-engineering", "install": ["npx skills add rohitg00/pro-workflow --skill context-engineering"], "stars": 2955, "pushed": "2026-09-29T10:12:13Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/pro-workflow/skills/context-optimizer", "name": "context-optimizer", "kind": "skill", "official": false, "desc": "Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.", "repo": "https://github.com/rohitg00/pro-workflow/tree/HEAD/skills/context-optimizer", "install": ["npx skills add rohitg00/pro-workflow --skill context-optimizer"], "stars": 2955, "pushed": "2026-09-29T10:12:13Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/pro-workflow/skills/cost-tracker", "name": "cost-tracker", "kind": "skill", "official": false, "desc": "Track session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.", "repo": "https://github.com/rohitg00/pro-workflow/tree/HEAD/skills/cost-tracker", "install": ["npx skills add rohitg00/pro-workflow --skill cost-tracker"], "stars": 2955, "pushed": "2026-09-29T10:12:13Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/pro-workflow/skills/plan-interrogate", "name": "plan-interrogate", "kind": "skill", "official": false, "desc": "Stress-test a plan by walking its decision tree one question at a time. Use when the user wants to pressure-test a design before implementation.", "repo": "https://github.com/rohitg00/pro-workflow/tree/HEAD/skills/plan-interrogate", "install": ["npx skills add rohitg00/pro-workflow --skill plan-interrogate"], "stars": 2955, "pushed": "2026-09-29T10:12:13Z", "license": null, "plat": "mcp servers", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/pro-workflow/skills/replay-learnings", "name": "replay-learnings", "kind": "skill", "official": false, "desc": "Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying \"what do I know about\", \"previous mistakes\", \"lessons learned\", or \"remind me about\".", "repo": "https://github.com/rohitg00/pro-workflow/tree/HEAD/skills/replay-learnings", "install": ["npx skills add rohitg00/pro-workflow --skill replay-learnings"], "stars": 2955, "pushed": "2026-09-29T10:12:13Z", "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/pro-workflow/skills/thoroughness-scoring", "name": "thoroughness-scoring", "kind": "skill", "official": false, "desc": "Score every decision point with a Thoroughness Rating (1-10). AI makes the marginal cost of doing things properly near-zero — pick the higher-rated option every time. Includes scope checks to distinguish contained vs unbounded work.", "repo": "https://github.com/rohitg00/pro-workflow/tree/HEAD/skills/thoroughness-scoring", "install": ["npx skills add rohitg00/pro-workflow --skill thoroughness-scoring"], "stars": 2955, "pushed": "2026-09-29T10:12:13Z", "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/cortex-eval", "name": "cortex-eval", "kind": "skill", "official": false, "desc": "Evaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about \"model accuracy dropped\", \"evaluate the model\", \"check for drift\", or \"model performance\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/cortex-eval", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill cortex-eval"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-ml/model-explainability-tool/skills/explaining-machine-learning-models", "name": "explaining-machine-learning-models", "kind": "skill", "official": false, "desc": "Build this skill enables AI assistant to provide interpretability and explainability for machine learning models. it is triggered when the user requests explanations for model predictions, insights into feature importance, or help understanding model behavior... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose. '", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-ml/model-explainability-tool/skills/explaining-machine-learning-models", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill explaining-machine-learning-models"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lens", "name": "lens", "kind": "skill", "official": false, "desc": "Analytics and BI engineer — dashboards, metrics design, reporting pipelines, and data storytelling.", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lens", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lens-recon", "name": "lens-recon", "kind": "skill", "official": false, "desc": "Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked \"what analytics exist\", \"BI assessment\", or \"what do we track\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lens-recon", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lens-report", "name": "lens-report", "kind": "skill", "official": false, "desc": "Build a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison. Use when asked for \"automated reports\", \"scheduled report\", \"email digest\", or \"Slack alerts for metrics\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lens-report", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-report"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lumen", "name": "lumen", "kind": "skill", "official": false, "desc": "Product analyst — metrics architecture, funnel analysis, A/B test design, retention, and growth measurement.", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lumen", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lumen-abtest", "name": "lumen-abtest", "kind": "skill", "official": false, "desc": "A/B test design — produce an experiment spec with hypothesis, primary metric, MDE, sample size, run time, and decision rule. Also determines when NOT to A/B test and what to do instead. Use when asked to \"design an A/B test\", \"should we test this\", \"experiment design\", \"how do we know if this works\", \"what's the sample size\", or \"set up an experiment\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lumen-abtest", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-abtest"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lumen-funnel", "name": "lumen-funnel", "kind": "skill", "official": false, "desc": "Use when asked to analyze a funnel, find where users drop off, diagnose low conversion or activation rates, design a metrics framework, set up OKRs, or measure whether a feature is working. Examples: \"analyze our funnel\", \"why is activation low\", \"where are users dropping off\", \"design OKRs for this quarter\", \"is this feature working\", \"set up metrics for this launch\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lumen-funnel", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-funnel"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lumen-instrument", "name": "lumen-instrument", "kind": "skill", "official": false, "desc": "Instrumentation plan — design event taxonomy, property schema, and tracking plan for analytics tools. Use when asked to \"what should we track\", \"instrumentation plan\", \"set up analytics events\", \"analytics event schema\", \"tracking plan\", or \"instrument this feature\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lumen-instrument", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-instrument"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lumen-metrics", "name": "lumen-metrics", "kind": "skill", "official": false, "desc": "Metrics architecture — produce a complete metrics plan given a product description. North Star, input metrics tree, instrumentation spec, action triggers, and counter-metrics. Use when asked to \"design a metrics framework\", \"what should we measure\", \"build a metrics system\", \"define our KPIs\", \"what are our success metrics\", \"metrics strategy\", or \"what do we track\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lumen-metrics", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-metrics"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/lumen-recon", "name": "lumen-recon", "kind": "skill", "official": false, "desc": "Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured. Use when asked to \"what are we tracking\", \"audit our analytics\", \"what metrics exist\", \"analytics inventory\", or before designing new metrics or instrumentation.", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/lumen-recon", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-recon"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/pave", "name": "pave", "kind": "skill", "official": false, "desc": "Platform engineer — developer experience, golden paths, service catalogs, and local dev environments.", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/pave", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/pave-audit", "name": "pave-audit", "kind": "skill", "official": false, "desc": "Audit developer experience — measure onboarding time, build speed, deployment friction, and developer satisfaction. Use when asked to \"DX audit\", \"developer experience review\", \"why is development slow\", \"onboarding assessment\", or \"DORA metrics\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/pave-audit", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-audit"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/pave-catalog", "name": "pave-catalog", "kind": "skill", "official": false, "desc": "Build a service catalog — schema, starter entries, and governance model. Produces what information to capture per service, how it's maintained, and where it lives. Use when asked to \"service catalog\", \"what services do we have\", \"catalog our services\", \"service inventory\", or \"who owns what\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/pave-catalog", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-catalog"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/pave-contribute", "name": "pave-contribute", "kind": "skill", "official": false, "desc": "Contribute a session learning back to the upstream tonone repo. Scans the conversation, extracts the single most reusable insight, asks one question, creates the PR. Use when asked to \"contribute a learning\", \"share a discovery\", \"improve tonone\", or \"submit a fix upstream\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/pave-contribute", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-contribute"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/pave-env", "name": "pave-env", "kind": "skill", "official": false, "desc": "Set up local development environments — devcontainers, Docker Compose, one-command setup, dev/prod parity. Use when asked to \"set up dev environment\", \"devcontainer\", \"docker compose for dev\", \"local development setup\", or \"one command to run\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/pave-env", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-env"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/pave-golden", "name": "pave-golden", "kind": "skill", "official": false, "desc": "Define a golden path — the opinionated, supported way to do a common developer task (create a new service, set up an environment, deploy a feature). Produces concrete steps, templates, and tooling. Use when asked to \"golden path\", \"create project template\", \"scaffold a new service\", \"how should we create services\", or \"standardize our setup\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/pave-golden", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-golden"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/pave-recon", "name": "pave-recon", "kind": "skill", "official": false, "desc": "Platform reconnaissance — inventory all developer tooling, environments, build systems, and developer workflows for project takeover. Use when asked to \"understand the dev setup\", \"developer tooling assessment\", \"platform assessment\", or \"how do developers work here\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/pave-recon", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill pave-recon"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/pitch", "name": "pitch", "kind": "skill", "official": false, "desc": "Product marketer — positioning, messaging, value prop, GTM strategy, and launch copy.", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/pitch", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill pitch"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/prism", "name": "prism", "kind": "skill", "official": false, "desc": "Frontend engineer — UI components, dashboards, design system implementation, and frontend audits.", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/prism", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill prism"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/prism-audit", "name": "prism-audit", "kind": "skill", "official": false, "desc": "Frontend audit — bundle size, dependencies, accessibility, performance, component quality. Use when asked for \"frontend review\", \"performance audit\", \"accessibility check\", or \"bundle size\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/prism-audit", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill prism-audit"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/prism-chart", "name": "prism-chart", "kind": "skill", "official": false, "desc": "Use when asked to implement a chart, select a visualization type, or build a data display component. Examples: \"implement chart for time series\", \"best visualization for comparison data\", \"chart component for analytics\"", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/prism-chart", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill prism-chart"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/prism-component", "name": "prism-component", "kind": "skill", "official": false, "desc": "Implement a reusable, accessible, typed component from a design spec. Use when asked to \"create a component\", \"build a widget\", \"implement this design\", or \"reusable UI element\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/prism-component", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill prism-component"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/prism-dashboard", "name": "prism-dashboard", "kind": "skill", "official": false, "desc": "Build an internal dashboard with data tables, filters, detail views, and CRUD. Use when asked to build an \"admin panel\", \"internal dashboard\", \"back office\", or \"data dashboard UI\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/prism-dashboard", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill prism-dashboard"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/prism-recon", "name": "prism-recon", "kind": "skill", "official": false, "desc": "Frontend reconnaissance — map the component tree, routing, state management, build config, and assess quality. Use when asked to \"understand this frontend\", \"frontend assessment\", or \"what's the UI built with\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/prism-recon", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill prism-recon"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/prism-stack", "name": "prism-stack", "kind": "skill", "official": false, "desc": "Use when asked for framework-specific best practices, implementation guidelines for React/Vue/Svelte/Next.js, or stack-specific patterns. Examples: \"React best practices\", \"Vue component patterns\", \"Next.js performance\"", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/prism-stack", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill prism-stack"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/prism-ui", "name": "prism-ui", "kind": "skill", "official": false, "desc": "Implement a complete UI screen or feature from a Form visual spec. Use when asked to \"build a page\", \"implement this screen\", \"build the frontend for this feature\", or \"create this UI\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/tonone/skills/prism-ui", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill prism-ui"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-ml/ai-ethics-validator/skills/validating-ai-ethics-and-fairness", "name": "validating-ai-ethics-and-fairness", "kind": "skill", "official": false, "desc": "Validate AI/ML models and datasets for bias, fairness, and ethical concerns. Use when auditing AI systems for ethical compliance, fairness assessment, or bias detection. Trigger with phrases like \"evaluate model fairness\", \"check for bias\", or \"validate AI ethics\". '", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-ml/ai-ethics-validator/skills/validating-ai-ethics-and-fairness", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill validating-ai-ethics-and-fairness"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/awesome-claude-code-toolkit/skills/prompt-engineering", "name": "prompt-engineering", "kind": "skill", "official": false, "desc": "Prompt engineering patterns including structured prompts, chain-of-thought, few-shot learning, and system prompt design", "repo": "https://github.com/rohitg00/awesome-claude-code-toolkit/tree/HEAD/skills/prompt-engineering", "install": ["npx skills add rohitg00/awesome-claude-code-toolkit --skill prompt-engineering"], "stars": 2838, "pushed": "2026-05-12T07:18:34Z", "license": "Apache-2.0", "plat": "prompt", "live": "Not checked (runs locally)"}, {"id": "skill:AgriciDaniel/claude-blog/skills/blog-flow", "name": "blog-flow", "kind": "skill", "official": false, "desc": "FLOW framework integration for bloggers. Evidence-led content workflow using the Find, Optimize, Win loop with stage-specific AI prompts from the FLOW knowledge base (30 blog-applicable prompts, adapted from FLOW under CC BY 4.0). Use when user says \"FLOW framework\", \"blog flow\", \"/blog flow\", \"evidence-led blogging\", or \"find optimize win\", or asks for stage-specific blog prompts. Not for generic prompt writing.", "repo": "https://github.com/AgriciDaniel/claude-blog/tree/HEAD/skills/blog-flow", "install": ["npx skills add AgriciDaniel/claude-blog --skill blog-flow"], "stars": 2748, "pushed": "2026-11-03T00:20:12Z", "license": "MIT", "plat": "flow", "live": "Not checked (runs locally)"}, {"id": "skill:AgriciDaniel/claude-blog/skills/blog-persona", "name": "blog-persona", "kind": "skill", "official": false, "desc": "Create and manage writing personas with NNGroup 4-dimension tone framework (Funny-Serious, Formal-Casual, Respectful-Irreverent, Enthusiastic-Matter-of-fact). Personas define readability targets, sentence length distribution, vocabulary tier, contraction frequency, and summary box label. blog-write and blog-rewrite load the active persona as writer guidance. Use when the user says \"create persona\", \"use persona\", \"list personas\", or wants tone sliders and writing rules saved as structured JSON. ", "repo": "https://github.com/AgriciDaniel/claude-blog/tree/HEAD/skills/blog-persona", "install": ["npx skills add AgriciDaniel/claude-blog --skill blog-persona"], "stars": 2748, "pushed": "2026-11-03T00:20:12Z", "license": "MIT", "plat": "nngroup", "live": "Not checked (runs locally)"}, {"id": "skill:AgriciDaniel/claude-blog/skills/blog-style", "name": "blog-style", "kind": "skill", "official": false, "desc": "Measure writing-style statistics (sentence length, vocabulary, transitions, phrasing) from 5 to 10 posts you or your client wrote, and produce a voice profile for VOICE.md, blog-persona, and blog-write. Use for \"learn my style\", \"build a writing baseline\". It describes style; it does not detect or attribute authorship, and it is not for scoring a post (blog-analyze) or writing brand rules (blog-brand).", "repo": "https://github.com/AgriciDaniel/claude-blog/tree/HEAD/skills/blog-style", "install": ["npx skills add AgriciDaniel/claude-blog --skill blog-style"], "stars": 2748, "pushed": "2026-11-03T00:20:12Z", "license": "MIT", "plat": "voice.md", "live": "Not checked (runs locally)"}, {"id": "skill:mrgoonie/claudekit-skills/.claude/skills/debugging/verification-before-completion", "name": "Verification Before Completion", "kind": "skill", "official": false, "desc": "Run verification commands and confirm output before claiming success", "repo": "https://github.com/mrgoonie/claudekit-skills/tree/HEAD/.claude/skills/debugging/verification-before-completion", "install": ["npx skills add mrgoonie/claudekit-skills --skill Verification Before Completion"], "stars": 2244, "pushed": "2026-04-03T06:19:25Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-anti-false-completion", "name": "agent-anti-false-completion", "kind": "skill", "official": false, "desc": "\\\"用于减少 AI Agent\\\"没做却说做了\\\"\\\"没验证却说完成了\\\"等假完成行为的可靠性技能。通过任务约束、结果校验和执行规范，帮助 Agent 在复杂任务中保持真实执行、明确验证与可信交付。适用于代码、调试、研究、写作、规划、运维、API 集成、数据分析、部署等所有任务类型。\\", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-anti-false-completion", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agent-anti-false-completion"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "agent-anti-false-completion", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/ai-decision-authority", "name": "ai-decision-authority", "kind": "skill", "official": false, "desc": "Use before letting AI or an agent act on a marketing or GTM task without human review, or when writing an AI review policy. Places each workflow in AI-primary, collaborative or human-primary by stakes and reversibility.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/ai-decision-authority", "install": ["npx skills add LeoYeAI/agent-master-skills --skill ai-decision-authority"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/ai-drama-prompt-factory", "name": "ai-drama-prompt-factory", "kind": "skill", "official": false, "desc": "AI短剧提示词工厂 - 端到端将小说/故事创意转化为结构化提示词包（角色立绘+场景+道具+分镜图片+视频+音频）的完整流水线。一个入口启动全流程，内部自动按阶段推进：策划→设计→剧本→诊断→提示词组装→API JSON输出。支持小说改编和原创短剧两条路径。触发词：AI短剧、短剧制作、小说转短剧、短剧提示词、提示词工厂、短剧全流程、小说改编短剧、生成短剧、AI视频剧本、短剧项目、分镜提示词、视频提示词、prompt factory。", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/ai-drama-prompt-factory", "install": ["npx skills add LeoYeAI/agent-master-skills --skill ai-drama-prompt-factory"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/ai-learning-planner-cn", "name": "ai-learning-planner-cn", "kind": "skill", "official": false, "desc": "AI学习计划生成器 v2.1 | AI Learning Planner. 支持个性化路径、进度跟踪、资源推荐、AI导师、学习报告、团队学习。触发词：学习、计划、课程。", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/ai-learning-planner-cn", "install": ["npx skills add LeoYeAI/agent-master-skills --skill ai-learning-planner-cn"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/ai-prompt-generator", "name": "ai-prompt-generator", "kind": "skill", "official": false, "desc": "专业 AI 提示词生成工具，帮助用户创建高效、精准的 AI 提示词。内置多种框架和模板，让 AI 输出质量提升 10 倍。", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/ai-prompt-generator", "install": ["npx skills add LeoYeAI/agent-master-skills --skill ai-prompt-generator"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/andara-self-improvement", "name": "andara-self-improvement", "kind": "skill", "official": false, "desc": "Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/andara-self-improvement", "install": ["npx skills add LeoYeAI/agent-master-skills --skill andara-self-improvement"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/analyzing-business-strategy-skill-main", "name": "self-improvement-abc", "kind": "skill", "official": false, "desc": "Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/analyzing-business-strategy-skill-main", "install": ["npx skills add LeoYeAI/agent-master-skills --skill self-improvement-abc"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Leanmcp/gateway-skills/skills/research-observability", "name": "research-observability", "kind": "skill", "official": false, "desc": "Add file-based observability, tracing, and run analysis to LLM/agent experiments — per-turn transcripts, tool calls and results, reasoning traces, token/cost accounting, per-episode artifacts, plus terminal viewers and a run-comparison report. Platform-agnostic: one small adapter covers OpenAI, Gemini/Vertex, Anthropic, LiteLLM, Tinker, vLLM, or any custom inference stack, and the same tooling then works unchanged. Use this skill whenever the user wants observability, tracing, logging, or run tr", "repo": "https://github.com/Leanmcp/gateway-skills/tree/HEAD/skills/research-observability", "install": ["npx skills add Leanmcp/gateway-skills --skill research-observability"], "stars": 2125, "pushed": "2026-10-07T16:04:10Z", "license": "MIT", "plat": "llm/agent experiments", "live": "Not checked (runs locally)"}, {"id": "skill:rmyndharis/antigravity-skills/skills/llm-application-dev-prompt-optimize", "name": "llm-application-dev-prompt-optimize", "kind": "skill", "official": false, "desc": "Evaluate and improve LLM prompts using examples, structured instructions, and measured comparisons. Use when refining prompt reliability, output quality, or model-specific behavior.", "repo": "https://github.com/rmyndharis/antigravity-skills/tree/HEAD/skills/llm-application-dev-prompt-optimize", "install": ["npx skills add rmyndharis/antigravity-skills --skill llm-application-dev-prompt-optimize"], "stars": 2009, "pushed": "2026-11-07T15:24:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rmyndharis/antigravity-skills/skills/prompt-engineer", "name": "prompt-engineer", "kind": "skill", "official": false, "desc": "Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production prompt strategies. Use when building AI features, improving agent performance, or crafting system prompts.", "repo": "https://github.com/rmyndharis/antigravity-skills/tree/HEAD/skills/prompt-engineer", "install": ["npx skills add rmyndharis/antigravity-skills --skill prompt-engineer"], "stars": 2009, "pushed": "2026-11-07T15:24:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rmyndharis/antigravity-skills/skills/prompt-engineering-patterns", "name": "prompt-engineering-patterns", "kind": "skill", "official": false, "desc": "Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.", "repo": "https://github.com/rmyndharis/antigravity-skills/tree/HEAD/skills/prompt-engineering-patterns", "install": ["npx skills add rmyndharis/antigravity-skills --skill prompt-engineering-patterns"], "stars": 2009, "pushed": "2026-11-07T15:24:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:composio-community/awesome-claude-plugins/perf/skills/analyzer", "name": "perf-analyzer", "kind": "skill", "official": false, "desc": "Use when synthesizing perf findings into evidence-backed recommendations and decisions.", "repo": "https://github.com/composio-community/awesome-claude-plugins/tree/HEAD/perf/skills/analyzer", "install": ["npx skills add composio-community/awesome-claude-plugins --skill perf-analyzer"], "stars": 1994, "pushed": "2026-11-05T04:02:31Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:composio-community/awesome-claude-plugins/perf/skills/baseline", "name": "perf-baseline-manager", "kind": "skill", "official": false, "desc": "Use when managing perf baselines, consolidating results, or comparing versions. Ensures one baseline JSON per version.", "repo": "https://github.com/composio-community/awesome-claude-plugins/tree/HEAD/perf/skills/baseline", "install": ["npx skills add composio-community/awesome-claude-plugins --skill perf-baseline-manager"], "stars": 1994, "pushed": "2026-11-05T04:02:31Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:composio-community/awesome-claude-plugins/perf/skills/benchmark", "name": "perf-benchmarker", "kind": "skill", "official": false, "desc": "Use when running performance benchmarks, establishing baselines, or validating regressions with sequential runs. Enforces 60s minimum runs (30s only for binary search) and no parallel benchmarks.", "repo": "https://github.com/composio-community/awesome-claude-plugins/tree/HEAD/perf/skills/benchmark", "install": ["npx skills add composio-community/awesome-claude-plugins --skill perf-benchmarker"], "stars": 1994, "pushed": "2026-11-05T04:02:31Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:composio-community/awesome-claude-plugins/perf/skills/code-paths", "name": "perf-code-paths", "kind": "skill", "official": false, "desc": "Use when mapping code paths, entrypoints, and likely hot files before profiling.", "repo": "https://github.com/composio-community/awesome-claude-plugins/tree/HEAD/perf/skills/code-paths", "install": ["npx skills add composio-community/awesome-claude-plugins --skill perf-code-paths"], "stars": 1994, "pushed": "2026-11-05T04:02:31Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:composio-community/awesome-claude-plugins/perf/skills/investigation-logger", "name": "perf-investigation-logger", "kind": "skill", "official": false, "desc": "Use when appending structured perf investigation notes and evidence.", "repo": "https://github.com/composio-community/awesome-claude-plugins/tree/HEAD/perf/skills/investigation-logger", "install": ["npx skills add composio-community/awesome-claude-plugins --skill perf-investigation-logger"], "stars": 1994, "pushed": "2026-11-05T04:02:31Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:composio-community/awesome-claude-plugins/perf/skills/profile", "name": "perf-profiler", "kind": "skill", "official": false, "desc": "Use when profiling CPU/memory hot paths, generating flame graphs, or capturing JFR/perf evidence.", "repo": "https://github.com/composio-community/awesome-claude-plugins/tree/HEAD/perf/skills/profile", "install": ["npx skills add composio-community/awesome-claude-plugins --skill perf-profiler"], "stars": 1994, "pushed": "2026-11-05T04:02:31Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:composio-community/awesome-claude-plugins/perf/skills/theory", "name": "perf-theory-gatherer", "kind": "skill", "official": false, "desc": "Use when generating performance hypotheses backed by git history and code evidence.", "repo": "https://github.com/composio-community/awesome-claude-plugins/tree/HEAD/perf/skills/theory", "install": ["npx skills add composio-community/awesome-claude-plugins --skill perf-theory-gatherer"], "stars": 1994, "pushed": "2026-11-05T04:02:31Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:composio-community/awesome-claude-plugins/perf/skills/theory-tester", "name": "perf-theory-tester", "kind": "skill", "official": false, "desc": "Use when running controlled perf experiments to validate hypotheses.", "repo": "https://github.com/composio-community/awesome-claude-plugins/tree/HEAD/perf/skills/theory-tester", "install": ["npx skills add composio-community/awesome-claude-plugins --skill perf-theory-tester"], "stars": 1994, "pushed": "2026-11-05T04:02:31Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:glittercowboy/taches-cc-resources/skills/debug-like-expert", "name": "debug-like-expert", "kind": "skill", "official": false, "desc": "Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.", "repo": "https://github.com/glittercowboy/taches-cc-resources/tree/HEAD/skills/debug-like-expert", "install": ["npx skills add glittercowboy/taches-cc-resources --skill debug-like-expert"], "stars": 1989, "pushed": "2026-04-01T15:10:58Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:com.microsoft/microsoft-learn-mcp", "name": "Microsoft Learn MCP", "kind": "mcp", "official": null, "desc": "Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.", "repo": "https://github.com/MicrosoftDocs/mcp", "install": ["https://learn.microsoft.com/api/mcp"], "stars": 1986, "pushed": "2026-10-30T04:04:15Z", "license": "CC-BY-4.0", "plat": "microsoft learn", "live": "Live · 5549 ms · 3 tools · free to try: `microsoft_code_sample_search` answered without a key (checked 2026-11-13)"}, {"id": "skill:mcollina/skills/skills/skill-optimizer", "name": "skill-optimizer", "kind": "skill", "official": false, "desc": "Optimizes AI skills for activation, clarity, and cross-model reliability. Use when creating or editing skill packs, diagnosing weak skill uptake, reducing regressions, tuning instruction salience, improving examples, shrinking context cost, or setting benchmark/release gates for skills. Trigger terms: skill optimization, activation gap, benchmark skill, with/without skill delta, regression, context budget, prompt salience.", "repo": "https://github.com/mcollina/skills/tree/HEAD/skills/skill-optimizer", "install": ["npx skills add mcollina/skills --skill skill-optimizer"], "stars": 1971, "pushed": "2026-10-27T13:19:56Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:mex-memory/mex/skills/mex-statechart", "name": "mex-statechart", "kind": "skill", "official": false, "desc": "Explain complicated existing behavior using checked state diagrams. Use when asked for a state diagram, to diagram the previous explanation, show a bug or recovery path, compare a proposed fix or existing TLA+ spec, or derive a model from an agreed chart. Generates native Mermaid and a readable terminal fallback; optionally view and explicitly save in MEX Hub.", "repo": "https://github.com/mex-memory/mex/tree/HEAD/skills/mex-statechart", "install": ["npx skills add mex-memory/mex --skill mex-statechart"], "stars": 1796, "pushed": "2026-11-14T01:00:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mukul975/cve-mcp-server", "name": "cve-mcp-server", "kind": "mcp", "official": null, "desc": "Production-grade MCP server giving Claude 27 security intelligence tools across 21 APIs — CVE lookup, EPSS scoring, CISA KEV, MITRE ATT&CK, Shodan, VirusTotal, and more.", "repo": "https://github.com/mukul975/cve-mcp-server", "install": [], "stars": 1777, "pushed": null, "license": null, "plat": "cve", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-bounded-rationality", "name": "thinking-bounded-rationality", "kind": "skill", "official": false, "desc": "Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-bounded-rationality", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-bounded-rationality"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-circle-of-competence", "name": "thinking-circle-of-competence", "kind": "skill", "official": false, "desc": "Use when a specific claim may lack grounding. Check evidence boundary, size wrongness cost, then answer, fetch, or abstain — never confabulate.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-circle-of-competence", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-circle-of-competence"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-cynefin", "name": "thinking-cynefin", "kind": "skill", "official": false, "desc": "When the right response mode is unclear, classify the cause-effect domain first; decompose disorder.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-cynefin", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-cynefin"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-effectuation", "name": "thinking-effectuation", "kind": "skill", "official": false, "desc": "Under genuine uncertainty with no reliable forecast, inventory means, cap downside at affordable loss, act for commitments, and let goals emerge from controllable moves.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-effectuation", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-effectuation"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-first-principles", "name": "thinking-first-principles", "kind": "skill", "official": false, "desc": "When a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that satisfies real constraints.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-first-principles", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-first-principles"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-five-whys-plus", "name": "thinking-five-whys-plus", "kind": "skill", "official": false, "desc": "When a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a countermeasure.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-five-whys-plus", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-five-whys-plus"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-jobs-to-be-done", "name": "thinking-jobs-to-be-done", "kind": "skill", "official": false, "desc": "Deciding what to build or why adoption fails. Recover the progress users hire a solution for under a circumstance, then rank by outcome and competing workarounds.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-jobs-to-be-done", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-jobs-to-be-done"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-kepner-tregoe", "name": "thinking-kepner-tregoe", "kind": "skill", "official": false, "desc": "Use when a selective defect needs IS/IS-NOT difference analysis or a consequential option choice needs must/want weighting and adverse-consequence comparison.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-kepner-tregoe", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-kepner-tregoe"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-lindy-effect", "name": "thinking-lindy-effect", "kind": "skill", "official": false, "desc": "Use when longevity of a non-perishable option matters. Treat survival duration as a remaining-life prior, then check domain drift before favoring the proven.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-lindy-effect", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-lindy-effect"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-map-territory", "name": "thinking-map-territory", "kind": "skill", "official": false, "desc": "When a claim, doc, test, metric, or assumption conflicts with observed behavior, stop theorizing from the map and verify the live code or data; let territory overrule.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-map-territory", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-map-territory"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-margin-of-safety", "name": "thinking-margin-of-safety", "kind": "skill", "official": false, "desc": "When provisioning, setting a limit, or committing an estimate under uncertainty, size a buffer to residual error and the cost of breach—not to the optimistic edge.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-margin-of-safety", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-margin-of-safety"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-model-combination", "name": "thinking-model-combination", "kind": "skill", "official": false, "desc": "When one mental model leaves a material blind spot on a multi-domain or high-stakes problem, sequence complementary models with named roles and a conflict rule.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-model-combination", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-model-combination"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-model-router", "name": "thinking-model-router", "kind": "skill", "official": false, "desc": "When unsure which thinking skill fits, map domain and problem type, then return NONE or one primary skill by default (at most three complementary).", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-model-router", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-model-router"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-ooda", "name": "thinking-ooda", "kind": "skill", "official": false, "desc": "Use under time pressure when the situation is still changing and you must act before certainty — cycle Observe→Orient→Decide→Act on ~70% confidence, then re-observe.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-ooda", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-ooda"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-opportunity-cost", "name": "thinking-opportunity-cost", "kind": "skill", "official": false, "desc": "Before committing scarce time, people, or money, name the best forgone use of those resources and the value delta of the chosen path versus that alternative.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-opportunity-cost", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-opportunity-cost"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-pre-mortem", "name": "thinking-pre-mortem", "kind": "skill", "official": false, "desc": "Before committing to a plan or launch, assume it already failed and reason backward through concrete causes — convert failure paths into mitigations, gates, and stop checks.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-pre-mortem", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-pre-mortem"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-probabilistic", "name": "thinking-probabilistic", "kind": "skill", "official": false, "desc": "Use when forecasting, estimating, or sizing risk — anchor on base rates, give ranges, update prior→likelihood→posterior on evidence, and factor unmeasured quantities into order-of-magnitude bounds.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-probabilistic", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-probabilistic"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-reversibility", "name": "thinking-reversibility", "kind": "skill", "official": false, "desc": "Before heavy deliberation, classify the decision as cheap or costly to undo; decide two-way doors fast and stage one-way doors to preserve options.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-reversibility", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-reversibility"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-scientific-method", "name": "thinking-scientific-method", "kind": "skill", "official": false, "desc": "When a symptom has several plausible causes, rank falsifiable hypotheses and run the cheapest discriminating observation first; prefer least-assumptive survivors only after evidence fit.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-scientific-method", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-scientific-method"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-second-order", "name": "thinking-second-order", "kind": "skill", "official": false, "desc": "When a change has effects past the immediate fix—incentives, scale, feedback—trace consequence chains with timing and probability before committing.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-second-order", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-second-order"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-socratic", "name": "thinking-socratic", "kind": "skill", "official": false, "desc": "When a request is vague, assumption-laden, or \"obvious,\" ask the few load-bearing questions that expose hidden requirements before building or committing.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-socratic", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-socratic"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-steel-manning", "name": "thinking-steel-manning", "kind": "skill", "official": false, "desc": "Before rejecting a proposal or reflexively agreeing, build the strongest faithful opposing case, state agreement conditions, then update or reaffirm.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-steel-manning", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-steel-manning"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-systems", "name": "thinking-systems", "kind": "skill", "official": false, "desc": "When behavior is emergent across components—fixes elsewhere break, loops/delays dominate—map boundary, stocks/flows, feedback, archetypes, then rank leverage.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-systems", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-systems"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-theory-of-constraints", "name": "thinking-theory-of-constraints", "kind": "skill", "official": false, "desc": "When throughput or latency is pipeline-limited, identify the single binding constraint and exploit, subordinate, elevate, then recheck—ignore non-constraints.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-theory-of-constraints", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-theory-of-constraints"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-thought-experiment", "name": "thinking-thought-experiment", "kind": "skill", "official": false, "desc": "When a real test is too rare, large, or irreversible, run a controlled counterfactual: isolate one variable, fix conditions, trace the mechanistic chain, and bound what the result implies.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-thought-experiment", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-thought-experiment"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-triz", "name": "thinking-triz", "kind": "skill", "official": false, "desc": "When two design requirements seem mutually exclusive, name the contradiction, separate conflicting states, then invent a concrete no-compromise resolution.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-triz", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-triz"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tjboudreaux/cc-thinking-skills/skills/thinking-via-negativa", "name": "thinking-via-negativa", "kind": "skill", "official": false, "desc": "Use when the reflex is to add a feature, layer, or process. Prefer removing harmful or nonessential elements first, with an irreversibility guard before deletion.", "repo": "https://github.com/tjboudreaux/cc-thinking-skills/tree/HEAD/skills/thinking-via-negativa", "install": ["npx skills add tjboudreaux/cc-thinking-skills --skill thinking-via-negativa"], "stars": 1738, "pushed": "2026-08-07T18:53:22Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:feiskyer/claude-code-settings/skills/brainstorming", "name": "brainstorming", "kind": "skill", "official": false, "desc": "Explore user intent, requirements, and design options through collaborative dialogue before implementation. Use before building new features, components, or systems — whenever the user describes something to build and design decisions are involved. Triggers: \\\"brainstorm\\\", \\\"help me design\\\", \\\"think through the requirements\\\", \\\"头脑风暴\\\", \\\"设计方案\\\", \\\"梳理需求\\\". Not for bug fixes, config changes, or tasks with an obvious implementation path.", "repo": "https://github.com/feiskyer/claude-code-settings/tree/HEAD/skills/brainstorming", "install": ["npx skills add feiskyer/claude-code-settings --skill brainstorming"], "stars": 1680, "pushed": "2026-11-05T13:15:07Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:feiskyer/claude-code-settings/skills/grill-me", "name": "grill-me", "kind": "skill", "official": false, "desc": "针对方案或设计的高强度追问式面试（adversarial design review / grill session），暴露假设漏洞与缺失约束，过程中同步维护领域模型（术语表和 ADR）。手动调用 /grill-me。", "repo": "https://github.com/feiskyer/claude-code-settings/tree/HEAD/skills/grill-me", "install": ["npx skills add feiskyer/claude-code-settings --skill grill-me"], "stars": 1680, "pushed": "2026-11-05T13:15:07Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:undefined-ui/second-brain-os/plugins/agents-course/skills/gate-check", "name": "gate-check", "kind": "skill", "official": false, "desc": "Find the decisions in a pipeline that do not need the expensive model and propose the gate for each: a rule, a classic classifier, or a small model, with fail-closed routing. Use when the user asks to cut model costs or latency, says the big model handles everything, or wants a triage / routing / filter layer in front of an agent. Analysis plus an optional baseline scaffold. Do NOT use for auditing context layout (context-audit) or for building eval suites (evals-bootstrap).", "repo": "https://github.com/undefined-ui/second-brain-os/tree/HEAD/plugins/agents-course/skills/gate-check", "install": ["npx skills add undefined-ui/second-brain-os --skill gate-check"], "stars": 1573, "pushed": "2026-11-03T21:52:55Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:undefined-ui/second-brain-os/plugins/agents-course/skills/goal-test", "name": "goal-test", "kind": "skill", "official": false, "desc": "Turn a vague task into a testable definition of done and generate an executable goal-test script for it, optionally with a bounded retry loop around a headless agent. Use when the user wants to run an agent in a loop, asks how to know when an agent task is finished, or says a goal like \"improve X\" needs to become checkable. Do NOT use for building eval suites over many cases — that is evals-bootstrap.", "repo": "https://github.com/undefined-ui/second-brain-os/tree/HEAD/plugins/agents-course/skills/goal-test", "install": ["npx skills add undefined-ui/second-brain-os --skill goal-test"], "stars": 1573, "pushed": "2026-11-03T21:52:55Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:evo-hq/evo/plugins/evo/skills/finetuning", "name": "finetuning", "kind": "skill", "official": false, "desc": "This skill should be used when picking or diagnosing a training move (SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF), or when the user mentions fine-tuning, post-training, training recipe, reward design, or weight updates. Decision tree by reward shape, smoke-run gate, three failure diagnostics, five false-progress patterns. Provider recipes and I/O contract in references/.", "repo": "https://github.com/evo-hq/evo/tree/HEAD/plugins/evo/skills/finetuning", "install": ["npx skills add evo-hq/evo --skill finetuning"], "stars": 1502, "pushed": "2026-10-05T06:38:55Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:GanyuanRan/Aegis/skills/first-principles-review", "name": "first-principles-review", "kind": "skill", "official": false, "desc": "Use when asked for first-principles or Occam's-razor review, or when high-risk decisions involve competing constraints, fallback growth, duplicate owners, or architecture direction risk. Ordinary bug fixes stay on the fast path.", "repo": "https://github.com/GanyuanRan/Aegis/tree/HEAD/skills/first-principles-review", "install": ["npx skills add GanyuanRan/Aegis --skill first-principles-review"], "stars": 1442, "pushed": "2026-11-14T05:14:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:GanyuanRan/Aegis/skills/goal-framing", "name": "goal-framing", "kind": "skill", "official": false, "desc": "Use when the user explicitly sets an Aegis goal with /aegis-goal, Aegis goal:, or asks to define goal, success evidence, stop condition, or task boundaries before work.", "repo": "https://github.com/GanyuanRan/Aegis/tree/HEAD/skills/goal-framing", "install": ["npx skills add GanyuanRan/Aegis --skill goal-framing"], "stars": 1442, "pushed": "2026-11-14T05:14:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wuji-labs/nopua", "name": "nopua", "kind": "skill", "official": false, "desc": "The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.", "repo": "https://github.com/wuji-labs/nopua", "install": ["npx skills add wuji-labs/nopua --skill nopua"], "stars": 1402, "pushed": "2026-09-28T13:56:24Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wuji-labs/nopua/skills/nopua-lite", "name": "nopua-lite", "kind": "skill", "official": false, "desc": "NoPUA Lite — core wisdom in ~1.5k tokens. Drives AI with trust and inner motivation instead of fear. Same Daoist philosophy, minimal footprint. For personal use and small-context models.", "repo": "https://github.com/wuji-labs/nopua/tree/HEAD/skills/nopua-lite", "install": ["npx skills add wuji-labs/nopua --skill nopua-lite"], "stars": 1402, "pushed": "2026-09-28T13:56:24Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wuji-labs/nopua/skills/nopua-zh", "name": "nopua-zh", "kind": "skill", "official": false, "desc": "The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.", "repo": "https://github.com/wuji-labs/nopua/tree/HEAD/skills/nopua-zh", "install": ["npx skills add wuji-labs/nopua --skill nopua-zh"], "stars": 1402, "pushed": "2026-09-28T13:56:24Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:m0n0x41d/haft", "name": "haft", "kind": "mcp", "official": null, "desc": "Engineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and parity enforcement. For Claude Code, Cursor, Gemini CLI, Codex and more.", "repo": "https://github.com/m0n0x41d/haft", "install": [], "stars": 1399, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:voidful/hung-yi-lee-skill", "name": "hung-yi-lee", "kind": "skill", "official": false, "desc": "Explain machine learning, deep learning, generative AI, LLMs, AI agents, and speech modeling in a Hung-Yi Lee-inspired teaching style. Use this skill when the user wants 李宏毅式教學: roadmap-first structure, intuition before math, black-box-to-mechanism explanations, everyday analogies, anticipating student confusion, practical debugging, and research-grounded context.", "repo": "https://github.com/voidful/hung-yi-lee-skill", "install": ["npx skills add voidful/hung-yi-lee-skill --skill hung-yi-lee"], "stars": 1321, "pushed": "2026-08-11T14:05:40Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper", "name": "ts-paper", "kind": "skill", "official": false, "desc": "Generate a complete, publication-format journal/conference paper (LaTeX → compiled PDF) from whatever the user drops — a one-line idea, a proposal, or a proposal WITH real results. It ROUTES the input (idea→idea2story; proposal→proposal mode; results-present→data-aware mode), then runs plan→cite→write→refine→review→figure→latex using Claude's native abilities (reasoning, WebSearch, vision, file I/O, running Python) instead of a heavyweight per-call pipeline. Template-agnostic (ts_iieta + neurips", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-cite", "name": "ts-paper-cite", "kind": "skill", "official": false, "desc": "Stage 2 of the ts-paper suite. Build a complete, REAL refs.bib for a Traitement du Signal paper — using the user's provided references first and Claude's native WebSearch/WebFetch only for genuine gaps. Every entry must have full metadata (authors, year, venue, vol(issue):pages, DOI); never a title-only stub; reference count is driven by real evidence, not a quota. Use when assembling or fixing the bibliography of a TS paper, or whenever citations must be real and complete.", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-cite", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-cite"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-data", "name": "ts-paper-data", "kind": "skill", "official": false, "desc": "DATA-AWARE mode for the ts-paper suite. Activated by the orchestrator's router ONLY when the input ships REAL measured results (results_mode == \"data_aware\"); the proposal/no-numbers path is unchanged. Claude reads the user's data in ANY form (CSV / JSON / a pasted table / numbers in prose), judges it directly — there is NO fixed results schema — fills the result tables itself with real numbers in past tense, and writes the per-section text from the evidence. Two thin code backstops keep it hone", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-data", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-data"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-experiment", "name": "ts-paper-experiment", "kind": "skill", "official": false, "desc": "Repair an AI-generated scientific paper draft by diagnosing research logic, completing feasible experiments, rewriting the experiment section, and updating the full manuscript for claim-evidence consistency.", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-experiment", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-experiment"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-figure", "name": "ts-paper-figure", "kind": "skill", "official": false, "desc": "Stage 6 of the ts-paper suite. Fill a Traitement du Signal paper's figure placeholders with real diagrams. Claude DESIGNS a concrete, rich figure and GROUNDS it on a real on-topic top/mid-journal MAIN figure (Claude **WebSearches** for it, then `fetch_reference_figures.py` pulls that paper's MAIN figure, passed to the image model as an image-condition — grounding is MANDATORY, no silent skip); the render comes from the **official PaperBanana** pipeline (`ts-figure-svg/scripts/setup_paperbanana.p", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-figure", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-figure"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-latex", "name": "ts-paper-latex", "kind": "skill", "official": false, "desc": "Stage 7 (final assemble + compile) of the ts-paper suite. Assemble drafted LaTeX section bodies + refs.bib + blueprint into a compilable paper in the active TEMPLATE and compile it to PDF. Copies the template's .sty/.cls + assets, runs the deterministic template-driven post-processes (caption position, merge adjacent \\cite for numeric styles, canonical headings from the spec, keyword formatting), and compiles once per call; the agent drives a bounded error-fix loop around it. Use to build/compil", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-latex", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-latex"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-plan", "name": "ts-paper-plan", "kind": "skill", "official": false, "desc": "Stage 1 of the ts-paper suite. Turn a research proposal into a single structured blueprint.json (title, ≤6 keywords, exactly 3 contributions, notation table, terminology glossary, experiment design, and per-section plans with word targets) for a Traitement du Signal proposal paper. Use when planning the structure of a TS paper before writing. ONE reasoning pass — no real results.", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-plan", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-plan"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-refine", "name": "ts-paper-refine", "kind": "skill", "official": false, "desc": "Stage 4 of the ts-paper suite. One holistic pass that right-sizes each drafted section toward Traitement du Signal JOURNAL length (not conference page-compression), enforces cross-section coherence and terminology consistency, removes redundancy, and preserves all citations, equations, and markers. Use to polish/tighten a TS paper draft before the review stage. Do NOT over-compress.", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-refine", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-refine"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-review", "name": "ts-paper-review", "kind": "skill", "official": false, "desc": "Adversarial peer-review HARDENING pass for a ts-paper draft — the thing a forward-only drafter/refiner can't do: argue the other side of the paper's claims. Distilled from PaperJury into a lean Claude-native engine: N isolated domain reviewers read the whole paper (verbatim-quote anti-skim) → merge/dedupe → perspective-diverse skeptics try to refute each issue → loop-until-dry → a prioritized, verified issue list, which is fixed through the refine stage (each fix bound to a close_criterion) and ", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-review", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-review"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Spark-To-Paper-Skills/spark-to-paper-skills/skills/ts-paper-write", "name": "ts-paper-write", "kind": "skill", "official": false, "desc": "Stage 3 of the ts-paper suite. Draft every section of a Traitement du Signal paper as LaTeX body files (sections/<id>.tex + abstract.tex) from the blueprint and refs.bib, following strict per-section recipes, the no-fabricated-results rule, and IIETA citation style. Write ALL sections in one pass. Use when writing the body of a TS proposal paper.", "repo": "https://github.com/Spark-To-Paper-Skills/spark-to-paper-skills/tree/HEAD/skills/ts-paper-write", "install": ["npx skills add Spark-To-Paper-Skills/spark-to-paper-skills --skill ts-paper-write"], "stars": 1201, "pushed": "2026-08-22T11:47:15Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:MoizIbnYousaf/ai-agent-skills/skills/verification-agent", "name": "verification-agent", "kind": "skill", "official": false, "desc": "Verify claims, quotations, citations and references against live primary sources, and produce a reproducible audit record instead of an assertion. Use when asked to: check whether a quotation, verse, statistic, date, attribution or citation is accurate; verify references before publishing a report, thesis, article, slide deck or legal filing; confirm a text against an authoritative database; cross-check a claim across independent sources; build a citation register or verification appendix; find ", "repo": "https://github.com/MoizIbnYousaf/ai-agent-skills/tree/HEAD/skills/verification-agent", "install": ["npx skills add MoizIbnYousaf/ai-agent-skills --skill verification-agent"], "stars": 1156, "pushed": "2026-09-21T15:55:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:NVIDIA/SkillEvaluator/src/skillevaluator/tier3/reference_skills/create-custom-grader", "name": "create-custom-grader", "kind": "skill", "official": false, "desc": "Use when converting an existing benchmark, rubric, verifier, task YAML/JSON, or domain check into SkillEvaluator BYOG/BYOT custom evaluation.", "repo": "https://github.com/NVIDIA/SkillEvaluator/tree/HEAD/src/skillevaluator/tier3/reference_skills/create-custom-grader", "install": ["npx skills add NVIDIA/SkillEvaluator --skill create-custom-grader"], "stars": 1141, "pushed": "2026-11-14T05:51:46Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:NVIDIA/SkillEvaluator/skills/skillevaluator", "name": "skillevaluator", "kind": "skill", "official": false, "desc": "Run and interpret SkillEvaluator for agent skills. Use for any skill benchmark or eval - validating or scoring a SKILL.md, writing evals.json test cases or evals config, explaining benchmark reports, verdicts and exit codes, or gating skills in CI.", "repo": "https://github.com/NVIDIA/SkillEvaluator/tree/HEAD/skills/skillevaluator", "install": ["npx skills add NVIDIA/SkillEvaluator --skill skillevaluator"], "stars": 1141, "pushed": "2026-11-14T05:51:46Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/arena-eval/02-ref-hallucination-arena", "name": "02-ref-hallucination-arena", "kind": "skill", "official": false, "desc": "Benchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/arena-eval/02-ref-hallucination-arena", "install": ["npx skills add agentscope-ai/OpenJudge --skill 02-ref-hallucination-arena"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "crossref, pubmed, arxiv, dblp", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/academic-eval/03-ref-hallucination-arena", "name": "03-ref-hallucination-arena", "kind": "skill", "official": false, "desc": "Benchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/academic-eval/03-ref-hallucination-arena", "install": ["npx skills add agentscope-ai/OpenJudge --skill 03-ref-hallucination-arena"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "crossref, pubmed, arxiv, dblp", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/03-align-human", "name": "align-human", "kind": "skill", "official": false, "desc": "Use when the user has a judge/grader and human-labeled data, and wants to measure how well the judge agrees with humans, detect systematic biases, determine whether automatic evaluation can replace human review, or build a human-reduction roadmap. Also use when the user mentions calibration, TPR/TNR, judge validation, inter-rater agreement, Cohen's kappa, bias detection, or \"is my automatic evaluation trustworthy.\" Merges the calibrate and align functions into one skill.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/03-align-human", "install": ["npx skills add agentscope-ai/OpenJudge --skill align-human"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/08-bootstrap", "name": "bootstrap", "kind": "skill", "official": false, "desc": "Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says \"I need to start evaluating my app but don't know where to begin,\" \"I want to set up eval for a new product,\" or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/08-bootstrap", "install": ["npx skills add agentscope-ai/OpenJudge --skill bootstrap"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/01-eval-design", "name": "eval-design", "kind": "skill", "official": false, "desc": "Use when the user needs to design evaluation datasets, create test cases, stratify samples, generate adversarial examples, extract eval dimensions from traces/specs, or build a labeled evaluation set. Also use when the user mentions test data design, eval coverage, difficulty stratification, synthetic data generation for eval, or \"how to create good evaluation data.\" Outputs datasets in OpenJudge-compatible format.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/01-eval-design", "install": ["npx skills add agentscope-ai/OpenJudge --skill eval-design"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/04-eval-report", "name": "eval-report", "kind": "skill", "official": false, "desc": "Use when the user has run multiple evaluation skills and wants a comprehensive analysis — maturity assessment, cross-skill signals, trends, prioritized actions, and an executive summary. Also use when the user mentions eval health check, evaluation audit, ship readiness, evaluation maturity, or \"how good is my evaluation system itself.\" This is a read-only analysis skill.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/04-eval-report", "install": ["npx skills add agentscope-ai/OpenJudge --skill eval-report"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/00-meta-eval", "name": "meta-eval", "kind": "skill", "official": false, "desc": "Use when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/00-meta-eval", "install": ["npx skills add agentscope-ai/OpenJudge --skill meta-eval"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/02-metric-design", "name": "metric-design", "kind": "skill", "official": false, "desc": "Use when the user has evaluation principles or a dataset but needs help choosing the right graders, designing evaluation metrics, creating LLM-as-judge prompts, combining multiple metrics into a composite score, or building an automated evaluation pipeline. Also use when the user mentions grader selection, metric design, judge prompt engineering, rubric design, evaluation pipeline code, or \"how to evaluate [X] automatically.\" Outputs executable OpenJudge pipeline code.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/02-metric-design", "install": ["npx skills add agentscope-ai/OpenJudge --skill metric-design"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/06-prompt-regression", "name": "prompt-regression", "kind": "skill", "official": false, "desc": "Use when the user has changed a prompt (system prompt, RAG template, agent instruction, etc.) and wants to know whether the candidate is better or worse than the baseline. Also use when the user mentions prompt A/B testing, prompt comparison, prompt optimization validation, \"did my prompt change help,\" or prompt regression testing. Outputs per-dimension win rates with statistical significance using OpenJudge PairwiseAnalyzer.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/06-prompt-regression", "install": ["npx skills add agentscope-ai/OpenJudge --skill prompt-regression"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/05-rag-eval", "name": "rag-eval", "kind": "skill", "official": false, "desc": "Use when the user has a RAG (Retrieval-Augmented Generation) system and wants to evaluate its quality — separating retrieval issues from generation issues. Also use when the user mentions RAG evaluation, faithfulness checking, hallucination detection in RAG, retrieval quality, chunking optimization, or \"is my RAG pipeline working.\" Outputs a diagnostic matrix that pinpoints whether problems are in retrieval or generation.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/05-rag-eval", "install": ["npx skills add agentscope-ai/OpenJudge --skill rag-eval"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/OpenJudge/skills/eval_pipeline/07-redteam", "name": "redteam", "kind": "skill", "official": false, "desc": "Use when the user wants to test their LLM/agent application for safety and security vulnerabilities — jailbreaks, prompt injection, PII extraction, harmful content generation, or evaluator gaming. Also use when the user mentions security testing, adversarial testing, red teaming, safety evaluation, ASR (Attack Success Rate), or \"is my app safe to deploy.\" Outputs ASR paired with over-refusal rate and an audit document.", "repo": "https://github.com/agentscope-ai/OpenJudge/tree/HEAD/skills/eval_pipeline/07-redteam", "install": ["npx skills add agentscope-ai/OpenJudge --skill redteam"], "stars": 1100, "pushed": "2026-11-13T03:51:11Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:TechNomadCode/AI-Product-Development-Toolkit/agent-skills/mvp-plan", "name": "mvp-plan", "kind": "skill", "official": false, "desc": "Plan the MVP build from a PRD and an MVP scope, as a full development plan or an ultra-lean build spec, with the AI Product Development Toolkit's planning prompts.", "repo": "https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/HEAD/agent-skills/mvp-plan", "install": ["npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill mvp-plan"], "stars": 1055, "pushed": "2026-10-17T07:36:06Z", "license": "MIT", "plat": "ai product development toolkit", "live": "Not checked (runs locally)"}, {"id": "skill:TechNomadCode/AI-Product-Development-Toolkit/agent-skills/mvp-scope", "name": "mvp-scope", "kind": "skill", "official": false, "desc": "Define the smallest first version worth building (the MVP scope) from a PRD through a guided interview, with the AI Product Development Toolkit's MVP scope prompt.", "repo": "https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/HEAD/agent-skills/mvp-scope", "install": ["npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill mvp-scope"], "stars": 1055, "pushed": "2026-10-17T07:36:06Z", "license": "MIT", "plat": "ai product development toolkit", "live": "Not checked (runs locally)"}, {"id": "skill:TechNomadCode/AI-Product-Development-Toolkit/agent-skills/prd", "name": "prd", "kind": "skill", "official": false, "desc": "Interview the owner about a product idea, then draft a Product Requirements Document (PRD) with the AI Product Development Toolkit's PRD prompt.", "repo": "https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/HEAD/agent-skills/prd", "install": ["npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill prd"], "stars": 1055, "pushed": "2026-10-17T07:36:06Z", "license": "MIT", "plat": "ai product development toolkit", "live": "Not checked (runs locally)"}, {"id": "skill:TechNomadCode/AI-Product-Development-Toolkit/agent-skills/test-plan", "name": "test-plan", "kind": "skill", "official": false, "desc": "Draft a test plan outline (scope, test types, environments, and entry and exit criteria) through a guided interview, with the AI Product Development Toolkit's test plan prompt.", "repo": "https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/HEAD/agent-skills/test-plan", "install": ["npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill test-plan"], "stars": 1055, "pushed": "2026-10-17T07:36:06Z", "license": "MIT", "plat": "ai product development toolkit", "live": "Not checked (runs locally)"}, {"id": "skill:TechNomadCode/AI-Product-Development-Toolkit/agent-skills/user-research", "name": "user-research", "kind": "skill", "official": false, "desc": "Plan a user research questionnaire, or turn collected responses into evidence-linked input for a PRD, with the AI Product Development Toolkit's research prompts.", "repo": "https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/HEAD/agent-skills/user-research", "install": ["npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill user-research"], "stars": 1055, "pushed": "2026-10-17T07:36:06Z", "license": "MIT", "plat": "ai product development toolkit", "live": "Not checked (runs locally)"}, {"id": "skill:TechNomadCode/AI-Product-Development-Toolkit/agent-skills/ux", "name": "ux", "kind": "skill", "official": false, "desc": "Turn a PRD into UX specifications (screens, user flows and interaction patterns) through a guided interview, with the AI Product Development Toolkit's UX prompt.", "repo": "https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/HEAD/agent-skills/ux", "install": ["npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill ux"], "stars": 1055, "pushed": "2026-10-17T07:36:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:huaxialucaicaizi/ai-startup-skills/skills/ai-mvp-validation", "name": "ai-mvp-validation", "kind": "skill", "official": false, "desc": "Use when a founder (especially a one-person company / 一人公司) wants to validate an AI product idea or MVP (AI 工具、AI 应用、Agent) before building further, writing a BP, or applying for policy support or investment. Combines desk research and user interviews with Meta (Facebook/Instagram) ad tests on a landing page or waitlist, checks AI-specific risks (model-native overlap, inference cost, compliance), and gives a continue/adjust/stop conclusion that feeds the BP.", "repo": "https://github.com/huaxialucaicaizi/ai-startup-skills/tree/HEAD/skills/ai-mvp-validation", "install": ["npx skills add huaxialucaicaizi/ai-startup-skills --skill ai-mvp-validation"], "stars": 924, "pushed": "2026-11-13T03:13:57Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:huaxialucaicaizi/ai-startup-skills/skills/ai-pitch-coach", "name": "ai-pitch-coach", "kind": "skill", "official": false, "desc": "Use when a founder needs to prepare a live roadshow or defense (路演、答辩、路演稿、逐字稿、评委问答、模拟答辩) for a China government park (园区入驻), OPC community (OPC社区), incubator (孵化器), startup competition (创业大赛) or government project defense (政府项目答辩). Produces 3- and 5-minute speech scripts with time allocation, and rehearses categorized judge Q&A. Not for VC fundraising decks.", "repo": "https://github.com/huaxialucaicaizi/ai-startup-skills/tree/HEAD/skills/ai-pitch-coach", "install": ["npx skills add huaxialucaicaizi/ai-startup-skills --skill ai-pitch-coach"], "stars": 924, "pushed": "2026-11-13T03:13:57Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:huaxialucaicaizi/ai-startup-skills/skills/business-plan-skill", "name": "business-plan-skill", "kind": "skill", "official": false, "desc": "Use when creating, adapting, or filling business-plan materials (商业计划书、BP、路演材料), pitch deck content, incubator applications (孵化器申请、创业大赛、园区申请), project introductions, founder/team sections, market and competitor analysis, business models, financial projections (财务预测、融资计划), or official application forms for a startup or new venture. This skill provides a reusable structure and placeholder-based workflow rather than project-specific facts.", "repo": "https://github.com/huaxialucaicaizi/ai-startup-skills/tree/HEAD/skills/business-plan-skill", "install": ["npx skills add huaxialucaicaizi/ai-startup-skills --skill business-plan-skill"], "stars": 924, "pushed": "2026-11-13T03:13:57Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:huaxialucaicaizi/ai-startup-skills/skills/opc-growth-playbook", "name": "opc-growth-playbook", "kind": "skill", "official": false, "desc": "Use when a one-person company (OPC/一人公司) or solo founder in China needs a cold-start growth plan on Xiaohongshu, Douyin or WeChat Channels (小红书、抖音、视频号) for an AI product or service. Confirms positioning; builds a growth funnel with metrics, a prioritized experiment pool, a content calendar and short-video scripts; runs a compliance check (ad and AI-content labeling); and a weekly review. Uses only the user's own data, no invented benchmarks.", "repo": "https://github.com/huaxialucaicaizi/ai-startup-skills/tree/HEAD/skills/opc-growth-playbook", "install": ["npx skills add huaxialucaicaizi/ai-startup-skills --skill opc-growth-playbook"], "stars": 924, "pushed": "2026-11-13T03:13:57Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:huaxialucaicaizi/ai-startup-skills/skills/opc-policy-navigator", "name": "opc-policy-navigator", "kind": "skill", "official": false, "desc": "Use when a one-person company (OPC/一人公司) or early-stage founder in China asks which government policies, subsidies, vouchers, free office space or talent support they can apply for (政策申报、补贴、算力券、OPC社区入驻), given city, industry and stage. Matches national policies first, then local ones; outputs policies with official links, a materials checklist and an application outline. Covers national, Beijing, Shanghai, Guangzhou, Shenzhen, Hangzhou; says so honestly when a city is not covered.", "repo": "https://github.com/huaxialucaicaizi/ai-startup-skills/tree/HEAD/skills/opc-policy-navigator", "install": ["npx skills add huaxialucaicaizi/ai-startup-skills --skill opc-policy-navigator"], "stars": 924, "pushed": "2026-11-13T03:13:57Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:huaxialucaicaizi/ai-startup-skills/skills/opc-pricing-sales", "name": "opc-pricing-sales", "kind": "skill", "official": false, "desc": "Use when a one-person company (OPC/一人公司) or solo founder selling an AI product or service needs to set prices, design packages, write a quote, turn inquiries into paying customers, or check China price-marking / 明码标价 compliance (定价、套餐、报价单、私域成交、明码标价). Combines cost-based (including model/API cost), competitor and value-based pricing into a price range, designs tiers, drafts quotes and a closing SOP with objection handling, and checks China price-marking rules. No invented benchmarks.", "repo": "https://github.com/huaxialucaicaizi/ai-startup-skills/tree/HEAD/skills/opc-pricing-sales", "install": ["npx skills add huaxialucaicaizi/ai-startup-skills --skill opc-pricing-sales"], "stars": 924, "pushed": "2026-11-13T03:13:57Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:huaxialucaicaizi/ai-startup-skills/skills/opc-registration-compliance", "name": "opc-registration-compliance", "kind": "skill", "official": false, "desc": "Use when a solo founder in mainland China asks which business entity to register (个体工商户、个人独资企业、一人有限公司), how registration works (注册公司、营业执照、经营范围、工位注册), or what ongoing compliance a one-person company must keep (年报、变更登记、财产独立、财产混同、歇业、出资期限). Compares entity types by liability and governance using official law texts, gives a registration checklist and a post-registration compliance calendar, with official links only. Information guidance, not legal or tax advice.", "repo": "https://github.com/huaxialucaicaizi/ai-startup-skills/tree/HEAD/skills/opc-registration-compliance", "install": ["npx skills add huaxialucaicaizi/ai-startup-skills --skill opc-registration-compliance"], "stars": 924, "pushed": "2026-11-13T03:13:57Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sunbigfly/ppt-agent-skills", "name": "ppt-agent", "kind": "skill", "official": false, "desc": "专业 PPT 演示文稿全流程 AI 生成助手。模拟顶级 PPT 设计公司的完整工作流（需求调研到资料搜集到大纲策划到策划稿到设计稿），输出高质量 HTML 格式演示文稿。当用户提到制作 PPT、做演示文稿、做 slides、做幻灯片、做汇报材料、做培训课件、做路演 deck、做产品介绍页面时触发此技能。即使用户只说\"帮我做个关于 X 的介绍\"或\"我要给老板汇报 Y\"，只要暗示需要结构化的多页演示内容，都应该触发。也适用于用户说\"帮我把这篇文档做成 PPT\"、\"把这个主题做成演示\"等需要将内容转化为演示格式的场景。英文场景同样适用：\"make a presentation about...\"、\"create slides for...\"、\"build a pitch deck\"、\"I need a keynote for...\"。隐式意图也应触发：\"帮我把这个数据可视化一下给老板看\"、\"我需要一份能拿去路演的东西\"、\"把这个报告做得好看点能展示\"、\"beautify my existing PPT\"、\"redesign these slides\"。改善或美化现有 PPT 也属于此技能范畴", "repo": "https://github.com/sunbigfly/ppt-agent-skills", "install": ["npx skills add sunbigfly/ppt-agent-skills --skill ppt-agent"], "stars": 923, "pushed": "2026-06-08T07:41:34Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:coreyhaines31/makerskills/skills/decide", "name": "decide", "kind": "skill", "official": false, "desc": "When you have a decision to make and want a structured workflow that picks the load-bearing questions, walks through them, reaches a call (or \"wait\"), and archives the rationale for future reference. Based on the 37signals Guide to Making Decisions (38 questions) plus house additions like Q39 opportunity cost (\"what does saying yes displace?\"). Triages to 6–8 relevant questions per decision instead of forcing the full set. Archives every decision to ~/.config/makerskills/decide/archive/ with a r", "repo": "https://github.com/coreyhaines31/makerskills/tree/HEAD/skills/decide", "install": ["npx skills add coreyhaines31/makerskills --skill decide"], "stars": 912, "pushed": "2026-11-11T22:03:48Z", "license": "MIT", "plat": "decision-making workflow", "live": "Not checked (runs locally)"}, {"id": "skill:coreyhaines31/makerskills/skills/unstuck", "name": "unstuck", "kind": "skill", "official": false, "desc": "When a solution seems impossible and the path forward is blocked. Refuses to take no for an answer: classifies what kind of \\\"no\\\" you hit, then runs lateral-thinking techniques (assumption autopsy, inversion, first principles, constraint toggling, analogical transfer, and more) until the wall cracks or is proven load-bearing. Generates at least 10 angles before evaluating any. AGENTS: use this on yourself when an API doesn't support what you need, an approach has failed twice, or a \\\"that's not", "repo": "https://github.com/coreyhaines31/makerskills/tree/HEAD/skills/unstuck", "install": ["npx skills add coreyhaines31/makerskills --skill unstuck"], "stars": 912, "pushed": "2026-11-11T22:03:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-code-skill-factory/generated-skills/prompt-factory", "name": "prompt-factory", "kind": "skill", "official": false, "desc": "World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer, executive, manufacturing, R&D, regulatory, specialized-technical, research, creative-media), multiple output formats (XML/Claude/ChatGPT/Gemini), quality validation gates, and contextual best practices from OpenAI/Anthropic/Googl", "repo": "https://github.com/alirezarezvani/claude-code-skill-factory/tree/HEAD/generated-skills/prompt-factory", "install": ["npx skills add alirezarezvani/claude-code-skill-factory --skill prompt-factory"], "stars": 900, "pushed": "2025-11-12T15:30:27Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:DannyMac180/skills/be-ambitious", "name": "be-ambitious", "kind": "skill", "official": false, "desc": "Turn a task or prompt into a deeper version of itself, not a bigger one. Before rewriting, say what a top professional in the field would do that the user isn't asking for, the rawest source material they would start from, the specific methods and tools they would use, and what (other than the user or the model) would show the result is right. Then rewrite the prompt to ask for exactly that. USE WHEN: /be-ambitious, \"be ambitious\", \"make this prompt deeper\", \"what would an expert do here\", \"rais", "repo": "https://github.com/DannyMac180/skills/tree/HEAD/be-ambitious", "install": ["npx skills add DannyMac180/skills --skill be-ambitious"], "stars": 802, "pushed": "2026-11-10T16:23:25Z", "license": "MIT", "plat": "task", "live": "Not checked (runs locally)"}, {"id": "skill:DannyMac180/skills/explain-this", "name": "explain-this", "kind": "skill", "official": false, "desc": "Explain any digital artifact — a paper, PDF, article, code diff, or codebase — so the person actually understands it, not just skims it. Explanations are shaped by a persistent learner profile, gated by comprehension quizzes, and feed a spaced-repetition review loop. USE WHEN: explain this, explain this paper / PDF / article / diff / repo, help me understand this, what does this mean, what is this really saying, break this down, walk me through this, quiz me, review my cards, explain-this review", "repo": "https://github.com/DannyMac180/skills/tree/HEAD/explain-this", "install": ["npx skills add DannyMac180/skills --skill explain-this"], "stars": 802, "pushed": "2026-11-10T16:23:25Z", "license": "MIT", "plat": "digital artifact", "live": "Not checked (runs locally)"}, {"id": "skill:yunshu0909/yunshu_skillshub/writing/writing-assistant", "name": "writing-assistant", "kind": "skill", "official": false, "desc": "写作助手 - 当用户说\"我想写XX\"、\"帮我梳理选题\"、\"怎么形成框架\"、\"给我组织思路\"时触发。根据观点清晰度自动选择最优路线：清晰观点走\"框架→内容\"，模糊观点走\"挖掘→选题→框架→内容\"。", "repo": "https://github.com/yunshu0909/yunshu_skillshub/tree/HEAD/writing/writing-assistant", "install": ["npx skills add yunshu0909/yunshu_skillshub --skill writing-assistant"], "stars": 790, "pushed": "2026-10-11T14:46:01Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/operator-os/ad-angle-multiplier", "name": "ad-angle-multiplier", "kind": "skill", "official": false, "desc": "Expand a core idea into multiple distinct ad angles. Trigger on \"more ads\", \"creative testing\", \"scale campaigns\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/operator-os/ad-angle-multiplier", "install": ["npx skills add realkimbarrett/advertising-skills --skill ad-angle-multiplier"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/foundations/avatar-extraction", "name": "avatar-extraction", "kind": "skill", "official": false, "desc": "Use when you need to define exactly who the buyer is, what they want, what they’ve tried, and what’s driving their decisions. Trigger on \"target audience\", \"ideal client\", \"who is this for\", \"avatar\", \"customer profile\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/foundations/avatar-extraction", "install": ["npx skills add realkimbarrett/advertising-skills --skill avatar-extraction"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/operator-os/conversion-path-builder", "name": "conversion-path-builder", "kind": "skill", "official": false, "desc": "Design the optimal funnel from click to conversion. Trigger on \"funnel\", \"conversion path\", \"booked calls\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/operator-os/conversion-path-builder", "install": ["npx skills add realkimbarrett/advertising-skills --skill conversion-path-builder"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/orchestrators/full-funnel-campaign-orchestrator", "name": "full-funnel-campaign-orchestrator", "kind": "skill", "official": false, "desc": "Coordinate all skills to build a complete advertising campaign. Trigger on \"build a campaign\", \"full funnel\", \"ads + funnel\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/orchestrators/full-funnel-campaign-orchestrator", "install": ["npx skills add realkimbarrett/advertising-skills --skill full-funnel-campaign-orchestrator"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/qa/generic-language-killer", "name": "generic-language-killer", "kind": "skill", "official": false, "desc": "Remove vague, corporate, or AI-sounding language and replace it with clear, specific, human wording. Trigger on \"improve copy\", \"sounds generic\", \"too fluffy\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/qa/generic-language-killer", "install": ["npx skills add realkimbarrett/advertising-skills --skill generic-language-killer"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/copy-chief/headline-matrix", "name": "headline-matrix", "kind": "skill", "official": false, "desc": "Generate high-performing headline variations across different angles. Trigger on \"headlines\", \"hooks\", \"ad copy\", \"email subject lines\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/copy-chief/headline-matrix", "install": ["npx skills add realkimbarrett/advertising-skills --skill headline-matrix"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/copy-chief/mechanism-builder", "name": "mechanism-builder", "kind": "skill", "official": false, "desc": "Use when you need to explain why your solution works and others failed. Trigger on \"unique mechanism\", \"why this works\", \"different angle\", \"positioning\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/copy-chief/mechanism-builder", "install": ["npx skills add realkimbarrett/advertising-skills --skill mechanism-builder"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/copy-chief/objection-crusher", "name": "objection-crusher", "kind": "skill", "official": false, "desc": "Identify and neutralize buyer objections. Trigger on \"why wouldn't someone buy\", \"objections\", \"hesitation\", \"conversion issues\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/copy-chief/objection-crusher", "install": ["npx skills add realkimbarrett/advertising-skills --skill objection-crusher"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/foundations/offer-extraction", "name": "offer-extraction", "kind": "skill", "official": false, "desc": "Use when you need to turn a product or service into a compelling, high-converting offer. Trigger on \"offer\", \"why would someone buy\", \"improve conversions\", \"value proposition\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/foundations/offer-extraction", "install": ["npx skills add realkimbarrett/advertising-skills --skill offer-extraction"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/operator-os/performance-diagnosis", "name": "performance-diagnosis", "kind": "skill", "official": false, "desc": "Diagnose why campaigns are underperforming. Trigger on \"low performance\", \"high CPL\", \"bad ads\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/operator-os/performance-diagnosis", "install": ["npx skills add realkimbarrett/advertising-skills --skill performance-diagnosis"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/copy-chief/schwartz-awareness-mapper", "name": "schwartz-awareness-mapper", "kind": "skill", "official": false, "desc": "Use when you need to determine audience awareness level and the correct messaging approach. Trigger on \"awareness stage\", \"cold vs warm audience\", \"Schwartz\", \"message to market match\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/copy-chief/schwartz-awareness-mapper", "install": ["npx skills add realkimbarrett/advertising-skills --skill schwartz-awareness-mapper"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:realkimbarrett/advertising-skills/skills/operator-os/scroll-stopping-creative", "name": "scroll-stopping-creative", "kind": "skill", "official": false, "desc": "Create ad concepts that stop attention in the first 3 seconds. Trigger on \"ad creative\", \"thumbstopper\", \"video ideas\".", "repo": "https://github.com/realkimbarrett/advertising-skills/tree/HEAD/skills/operator-os/scroll-stopping-creative", "install": ["npx skills add realkimbarrett/advertising-skills --skill scroll-stopping-creative"], "stars": 789, "pushed": "2026-03-26T08:44:06Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:njzjz/nsfc-agent-skills/nsfc-write", "name": "nsfc-write", "kind": "skill", "official": false, "desc": "NSFC申请书撰写指南。覆盖选题、摘要、立项依据、研究内容、研究方案、创新性、可行性分析等各部分的写作技巧与模板。适用于青年C、面上、重点等项目类型。", "repo": "https://github.com/njzjz/nsfc-agent-skills/tree/HEAD/nsfc-write", "install": ["npx skills add njzjz/nsfc-agent-skills --skill nsfc-write"], "stars": 787, "pushed": "2026-08-27T09:06:49Z", "license": null, "plat": "nsfc", "live": "Not checked (runs locally)"}, {"id": "skill:zjp1997720/zhijian-skills/skills/light-plan-and-work", "name": "light-plan-and-work", "kind": "skill", "official": false, "desc": "Create a 3–7 step plan for a bounded task, execute immediately, verify, and hand it back. Use when the user explicitly requests a lightweight plan-and-work flow; do not use for open-ended brainstorming, discovery, high-risk migrations, multi-system architecture, or releases.", "repo": "https://github.com/zjp1997720/zhijian-skills/tree/HEAD/skills/light-plan-and-work", "install": ["npx skills add zjp1997720/zhijian-skills --skill light-plan-and-work"], "stars": 786, "pushed": "2026-11-06T11:48:18Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:learnwithu/mingli-master", "name": "命理解读师", "kind": "skill", "official": false, "desc": "紫微斗数命盘解读 V2：输入生辰信息，精确排盘并生成可视化命盘解读报告（HTML）。支持格局量化仪表盘、空宫借星标记、流年时空压力热力表，双主题（典藏/赛博）可切换。融合紫微三合派、中州派和手相互证的方法论。当用户提到算命、命盘、紫微斗数、排盘、命理、八字、运势、看命、生辰分析时触发。也适用于用户说「帮我看看命盘」「算一下」「排个盘」「看看运势」的场景。即使用户只是说「帮我分析一下我的性格/事业/感情」，只要上下文暗示需要命理分析，也应该触发。", "repo": "https://github.com/learnwithu/mingli-master", "install": ["npx skills add learnwithu/mingli-master --skill 命理解读师"], "stars": 784, "pushed": "2026-08-15T12:51:17Z", "license": "MIT", "plat": "ziwei", "live": "Not checked (runs locally)"}, {"id": "skill:staruhub/ClaudeSkills/lab/Geek-skills-gaokao-expert", "name": "gaokao-expert", "kind": "skill", "official": false, "desc": "资深高考命题专家助手,提供专业的命题指导和评审服务。适用于创作高考试题、评审试题质量、分析试卷结构、了解命题趋势等场景。结合文档工具提取解压文件,使用网络搜索了解当年最新命题趋势,使用分析工具评估题目质量和试卷结构。涵盖\"一核四层四翼\"评价体系、题型规范、评分标准、命题流程等多个维度。不用于:大学/考研/中考命题(体系不同,仅可借鉴)、日常作业题编写、直接替考生解题。", "repo": "https://github.com/staruhub/ClaudeSkills/tree/HEAD/lab/Geek-skills-gaokao-expert", "install": ["npx skills add staruhub/ClaudeSkills --skill gaokao-expert"], "stars": 737, "pushed": "2026-08-13T09:26:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:staruhub/ClaudeSkills/skills/Geek-skills-keqian-method", "name": "keqian-method", "kind": "skill", "official": false, "desc": "胥克谦式AI-Native产品开发方法论。适用于：(1) 使用AI Agent（Claude Code、Codex、Cursor等）进行产品级软件开发，(2) 设计和优化Harness/Skill体系，(3) 文档驱动开发(SDD)流程，(4) 构建自动化质量门禁和eval机制，(5) Token成本优化与缓存策略，(6) 产品人转型开发者的AI编程实践。触发场景包括\"帮我设计开发流程\"、\"怎么降低token成本\"、\"怎么提高AI编码质量\"、\"文档驱动\"、\"质量门禁\"、\"harness设计\"、\"单agent vs multi-agent\"、\"自动化迭代\"、\"AI产品开发\"、\"SDD\"、\"eval机制\"等。即使用户只是说\"帮我用AI写代码\"或\"怎么让agent干活更靠谱\"也应触发。注意：如果产品是行为开放、用户输入不可穷举的AI-native类型，请改用 xuefeng-method skill。不用于：单个bug修复或小改动（无需方法论）、PRD需求文档写作（用product-manager）。", "repo": "https://github.com/staruhub/ClaudeSkills/tree/HEAD/skills/Geek-skills-keqian-method", "install": ["npx skills add staruhub/ClaudeSkills --skill keqian-method"], "stars": 737, "pushed": "2026-08-13T09:26:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:staruhub/ClaudeSkills/skills/Geek-skills-solution-architect", "name": "solution-architect", "kind": "skill", "official": false, "desc": "解决方案架构师助手。当用户要设计新系统架构、评审现有架构、做技术选型决策、诊断性能/可扩展性/可用性问题、规划架构演进或重构时使用。覆盖微服务、事件驱动、云原生等架构模式，技术趋势通过实时搜索获取而非依赖内置知识。不用于：具体功能的代码实现、安全漏洞审计（用security-audit）、产品需求分析（用product-manager）、只需一句话回答的技术常识问题。", "repo": "https://github.com/staruhub/ClaudeSkills/tree/HEAD/skills/Geek-skills-solution-architect", "install": ["npx skills add staruhub/ClaudeSkills --skill solution-architect"], "stars": 737, "pushed": "2026-08-13T09:26:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:staruhub/ClaudeSkills/lab/Geek-skills-university-exam-prep", "name": "university-exam-prep", "kind": "skill", "official": false, "desc": "大学备考苏格拉底式学习助手，专为应对\"面向课本和PPT考试\"设计。当用户说\"帮我复习\"、\"准备考试\"、\"备考\"、\"期末复习\"、\"模拟学习\"、\"突击复习\"等时触发。核心特点：(1)强制要求用户上传课本/PPT/考纲等原始材料——没有材料就无法有效辅导；(2)使用苏格拉底式提问法，不直接灌输而是引导思考；(3)专注于应用型和理解型内容，而非纯概念记忆；(4)模拟真实考试场景进行针对性练习；(5)分析材料识别高频考点和重难点。适用于大学各科目期中期末考试备考、突击复习、考前模拟。", "repo": "https://github.com/staruhub/ClaudeSkills/tree/HEAD/lab/Geek-skills-university-exam-prep", "install": ["npx skills add staruhub/ClaudeSkills --skill university-exam-prep"], "stars": 737, "pushed": "2026-08-13T09:26:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:staruhub/ClaudeSkills/skills/Geek-skills-xuefeng-method", "name": "xuefeng-method", "kind": "skill", "official": false, "desc": "雪峰式AI-Native产品开发方法论。适用于：(1) 用户行为开放、不可穷举的AI-native产品（AI日历、AI助手、AI推荐、对话式产品等），(2) 强模型依赖型场景，AI驱动核心决策而非仅辅助，(3) 多专精Agent架构设计与分工，(4) 上线后快速校准、行为审计与漂移检测，(5) 模型选择和智能路由策略，(6) 概率性输出的质量评估。触发场景包括\"AI-native产品怎么做\"、\"用户行为不可预测怎么办\"、\"多agent怎么分工\"、\"模型漂移怎么处理\"、\"校准到95%太难了\"、\"唯快不破\"、\"怎么选模型\"、\"agent并行分工\"、\"AI产品上线后怎么迭代\"。注意：如果产品是场景明确、边界可定义的+AI类型，请改用 keqian-method skill。即使用户没有明确说\"AI-native\"，但在讨论AI驱动决策、用户行为不可预测、概率性输出等话题时也应触发。", "repo": "https://github.com/staruhub/ClaudeSkills/tree/HEAD/skills/Geek-skills-xuefeng-method", "install": ["npx skills add staruhub/ClaudeSkills --skill xuefeng-method"], "stars": 737, "pushed": "2026-08-13T09:26:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/PaperOrchestra/skills/content-refinement-agent", "name": "content-refinement-agent", "kind": "skill", "official": false, "desc": "Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate concession-threshold guard that blocks acceptance on unresolved critical findings. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orche", "repo": "https://github.com/Ar9av/PaperOrchestra/tree/HEAD/skills/content-refinement-agent", "install": ["npx skills add Ar9av/PaperOrchestra --skill content-refinement-agent"], "stars": 703, "pushed": "2026-11-04T06:52:41Z", "license": "NOASSERTION", "plat": "latex", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/PaperOrchestra/skills/outline-agent", "name": "outline-agent", "kind": "skill", "official": false, "desc": "Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to \"outline a paper from raw materials\" or \"generate the paper structure\".", "repo": "https://github.com/Ar9av/PaperOrchestra/tree/HEAD/skills/outline-agent", "install": ["npx skills add Ar9av/PaperOrchestra --skill outline-agent"], "stars": 703, "pushed": "2026-11-04T06:52:41Z", "license": "NOASSERTION", "plat": "latex", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/PaperOrchestra/skills/paper-autoraters", "name": "paper-autoraters", "kind": "skill", "official": false, "desc": "Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the user asks to \"score this paper draft\", \"evaluate against the benchmark\", \"compare two papers\", or \"run the autoraters\".", "repo": "https://github.com/Ar9av/PaperOrchestra/tree/HEAD/skills/paper-autoraters", "install": ["npx skills add Ar9av/PaperOrchestra --skill paper-autoraters"], "stars": 703, "pushed": "2026-11-04T06:52:41Z", "license": "NOASSERTION", "plat": "latex", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/PaperOrchestra/skills/paper-writing-bench", "name": "paper-writing-bench", "kind": "skill", "official": false, "desc": "Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C. TRIGGER when the user asks to \"build a benchmark case from this paper\", \"reverse-engineer raw materials\", or \"evaluate my pipeline against PaperWritingBench\".", "repo": "https://github.com/Ar9av/PaperOrchestra/tree/HEAD/skills/paper-writing-bench", "install": ["npx skills add Ar9av/PaperOrchestra --skill paper-writing-bench"], "stars": 703, "pushed": "2026-11-04T06:52:41Z", "license": "NOASSERTION", "plat": "latex", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/PaperOrchestra/skills/plotting-agent", "name": "plotting-agent", "kind": "skill", "official": false, "desc": "Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER when the orchestrator delegates Step 2 or when the user asks to \"generate the figures for my paper\" or \"render the plots from this experiment log\".", "repo": "https://github.com/Ar9av/PaperOrchestra/tree/HEAD/skills/plotting-agent", "install": ["npx skills add Ar9av/PaperOrchestra --skill plotting-agent"], "stars": 703, "pushed": "2026-11-04T06:52:41Z", "license": "NOASSERTION", "plat": "latex", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/PaperOrchestra/skills/section-writing-agent", "name": "section-writing-agent", "kind": "skill", "official": false, "desc": "Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRIGGER when the orchestrator delegates Step 4 or when the user asks to \"write the methodology and exper", "repo": "https://github.com/Ar9av/PaperOrchestra/tree/HEAD/skills/section-writing-agent", "install": ["npx skills add Ar9av/PaperOrchestra --skill section-writing-agent"], "stars": 703, "pushed": "2026-11-04T06:52:41Z", "license": "NOASSERTION", "plat": "latex", "live": "Not checked (runs locally)"}, {"id": "skill:mhattingpete/claude-skills-marketplace/engineering-workflow-plugin/skills/ensemble-solving", "name": "ensemble-solving", "kind": "skill", "official": false, "desc": "Generate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives improves quality.", "repo": "https://github.com/mhattingpete/claude-skills-marketplace/tree/HEAD/engineering-workflow-plugin/skills/ensemble-solving", "install": ["npx skills add mhattingpete/claude-skills-marketplace --skill ensemble-solving"], "stars": 695, "pushed": "2026-07-25T06:09:24Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:mhattingpete/claude-skills-marketplace/engineering-workflow-plugin/skills/feature-planning", "name": "feature-planning", "kind": "skill", "official": false, "desc": "Break down feature requests into detailed, implementable plans with clear tasks. Use when user requests a new feature, enhancement, or complex change.", "repo": "https://github.com/mhattingpete/claude-skills-marketplace/tree/HEAD/engineering-workflow-plugin/skills/feature-planning", "install": ["npx skills add mhattingpete/claude-skills-marketplace --skill feature-planning"], "stars": 695, "pushed": "2026-07-25T06:09:24Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ojuschugh1/sqz", "name": "sqz", "kind": "mcp", "official": null, "desc": "Pre-injection context compression for coding agents. Zero LLM calls, zero telemetry, offline-safe.", "repo": "https://github.com/ojuschugh1/sqz", "install": ["cargo:sqz-mcp"], "stars": 678, "pushed": "2026-11-12T11:31:45Z", "license": "Apache-2.0", "plat": "sqz", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ggozad/haiku-rag", "name": "haiku.rag", "kind": "mcp", "official": null, "desc": "Local-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval", "repo": "https://github.com/ggozad/haiku.rag", "install": ["pypi:haiku-rag"], "stars": 658, "pushed": "2026-11-13T13:37:41Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:SixHq/Overture", "name": "Overture", "kind": "mcp", "official": null, "desc": "Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code. ", "repo": "https://github.com/SixHq/Overture", "install": [], "stars": 643, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:agentara/skills/skills/productivity/doctor-strange", "name": "doctor-strange", "kind": "skill", "official": false, "desc": "Doctor Strange — causal sand-table simulation via parallel universe subagents. Models actors, incentives, constraints, feedback loops, state changes, and failure modes before rendering how a future event may unfold step by step, like a human mentally rehearsing multiple futures. Stores simulations as persistent memory for later recall. TRIGGER when: user explicitly asks to simulate / rehearse / play out a scenario; user says \"推演\", \"模拟\", \"预演\", \"imagine\", \"what if\", \"run through\", \"play this out\",", "repo": "https://github.com/agentara/skills/tree/HEAD/skills/productivity/doctor-strange", "install": ["npx skills add agentara/skills --skill doctor-strange"], "stars": 629, "pushed": "2026-09-29T12:49:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:harshaneel/humanize/plugins/humanize/skills/ai-check", "name": "ai-check", "kind": "skill", "official": false, "desc": "Use when someone asks \"does this sound AI?\", \"check if this is AI-written\", \"what gives this away as AI\", \"run ai-check on this\", or \"score this text\". Also use when reviewing a draft for AI tells before publishing, or when a piece of text reads as suspiciously polished, generic, or pattern-y and the user wants a forensic breakdown of why.", "repo": "https://github.com/harshaneel/humanize/tree/HEAD/plugins/humanize/skills/ai-check", "install": ["npx skills add harshaneel/humanize --skill ai-check"], "stars": 623, "pushed": "2026-09-22T16:24:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:harshaneel/humanize/plugins/humanize/skills/humanize", "name": "humanize", "kind": "skill", "official": false, "desc": "Use whenever the user asks to \"humanize\", \"make this sound more human\", \"rewrite to avoid AI detection\", \"make this less AI-sounding\", \"add a human voice\", or \"write like a person\". Also use when the user pastes text and asks why it reads as robotic, generic, flat, or AI-like, or when generating new text in a register where AI tells (em dashes, semicolons, hedges, banned vocabulary like \"delve\", \"leverage\", \"robust\") would damage credibility.", "repo": "https://github.com/harshaneel/humanize/tree/HEAD/plugins/humanize/skills/humanize", "install": ["npx skills add harshaneel/humanize --skill humanize"], "stars": 623, "pushed": "2026-09-22T16:24:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ooples/token-optimizer-mcp", "name": "io.github.ooples/token-optimizer-mcp", "kind": "mcp", "official": null, "desc": "Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%.", "repo": "https://github.com/ooples/token-optimizer-mcp", "install": ["npm:@ooples/token-optimizer-mcp"], "stars": 578, "pushed": "2026-11-13T04:36:55Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ilyautov/humanizer-ru", "name": "humanizer-ru", "kind": "mcp", "official": null, "desc": "Следы нейросети в русском тексте: балл чистоты 0-100, запреты и маркеры с позициями, факт-замок.", "repo": "https://github.com/ilyautov/humanizer-ru", "install": ["pypi:ru-humanizer"], "stars": 561, "pushed": "2026-11-11T13:09:23Z", "license": "MIT", "plat": "russian text", "live": "Not checked (runs locally)"}, {"id": "skill:zscole/adversarial-spec/skills/adversarial-spec", "name": "adversarial-spec", "kind": "skill", "official": false, "desc": "Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.", "repo": "https://github.com/zscole/adversarial-spec/tree/HEAD/skills/adversarial-spec", "install": ["npx skills add zscole/adversarial-spec --skill adversarial-spec"], "stars": 559, "pushed": "2026-01-22T06:33:17Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:nagi-studio/skills/skills/rookie/architect", "name": "architect", "kind": "skill", "official": false, "desc": "技术选型（tech stack）：需求清楚之后，比较两三套方案并推荐一套。用于新项目选框架、数据库、托管和部署方式，或用户问「用什么技术做」「怎么部署」、which stack、how to host。", "repo": "https://github.com/nagi-studio/skills/tree/HEAD/skills/rookie/architect", "install": ["npx skills add nagi-studio/skills --skill architect"], "stars": 537, "pushed": "2026-11-07T01:29:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:suyuan2022/suyuan-skill/break-ai-slop", "name": "break-ai-slop", "kind": "skill", "official": false, "desc": "Break AI Slop — force the AI to think like a real expert before doing anything. Extracts tacit knowledge, surfaces hidden failure modes, and distills the one constraint that decides success or failure. Use before any non-trivial task to eliminate generic, low-quality AI output. Triggers: 'break-ai-slop', 'anti-slop', 'slopbreak', 'slop check', '行家模式', '专家预检', '防止AI水货', '别给我水货', '认真做', '先想清楚再做', '这个别敷衍', '高质量输出'.", "repo": "https://github.com/suyuan2022/suyuan-skill/tree/HEAD/break-ai-slop", "install": ["npx skills add suyuan2022/suyuan-skill --skill break-ai-slop"], "stars": 537, "pushed": "2026-11-12T03:40:25Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:nagi-studio/skills/skills/rookie/de-slop", "name": "de-slop", "kind": "skill", "official": false, "desc": "给做好的界面去 AI 味：截图、对着清单一条条查、做减法，用户纠正过的写进 DESIGN.md。适用于嫌界面有 AI 味、一眼像 AI 做的、改完前端交差之前。", "repo": "https://github.com/nagi-studio/skills/tree/HEAD/skills/rookie/de-slop", "install": ["npx skills add nagi-studio/skills --skill de-slop"], "stars": 537, "pushed": "2026-11-07T01:29:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:nagi-studio/skills/skills/pondering/grill", "name": "grill", "kind": "skill", "official": false, "desc": "分轮追问用户的计划、决定或想法，直到重要未知暴露出来，再动手执行。适用于任何领域，不限于写代码。当用户想理清思路、给想法做压力测试，或者说出这些话时使用：拷打我、追问我、帮我想清楚、帮我理一理、挑挑毛病、有什么没想到的、grill me、stress-test this、poke holes in this、interview me。", "repo": "https://github.com/nagi-studio/skills/tree/HEAD/skills/pondering/grill", "install": ["npx skills add nagi-studio/skills --skill grill"], "stars": 537, "pushed": "2026-11-07T01:29:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:nagi-studio/skills/skills/rookie/prove-it", "name": "prove-it", "kind": "skill", "official": false, "desc": "让 agent 拿证据交差，而不是只说一句「做好了」。三种时候用：agent 准备交差时；用户为同一件事第二次纠正 agent（又错了、说过多少遍、怎么让它别再犯）；要写测试、或者清理没用的测试时。prove it、stop repeating this mistake、clean up useless tests。", "repo": "https://github.com/nagi-studio/skills/tree/HEAD/skills/rookie/prove-it", "install": ["npx skills add nagi-studio/skills --skill prove-it"], "stars": 537, "pushed": "2026-11-07T01:29:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:yogsoth-ai/de-anthropocentric-research-engine", "name": "de-anthropocentric-research-engine", "kind": "mcp", "official": null, "desc": "Give an AI a research direction: it runs literature synthesis, gap validation, hypothesis formation and experiment design itself. 267 markdown skills form a research graph: 51 operations built from 216 atomic steps, any order, explicit backtracking; the plan is approved before it runs and interrupte", "repo": "https://github.com/yogsoth-ai/de-anthropocentric-research-engine", "install": [], "stars": 512, "pushed": null, "license": null, "plat": "research", "live": "Not checked (runs locally)"}, {"id": "skill:donghuixin/AI-Vibe-Writing-Skills", "name": "ai-vibe-writing", "kind": "skill", "official": false, "desc": "Draft and revise academic prose in the author's voice, repair sentence-level reasoning, trace systems-paper claims to evidence, prepare reviewer responses, and critically appreciate papers for transferable lessons. Use for manuscript writing, scoped editing, logic checks, response letters, and paper appreciation; grammar-only requests take the minimal correction route.", "repo": "https://github.com/donghuixin/AI-Vibe-Writing-Skills", "install": ["npx skills add donghuixin/AI-Vibe-Writing-Skills --skill ai-vibe-writing"], "stars": 501, "pushed": "2026-10-26T04:32:43Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:bencium/bencium-marketplace/adaptive-communication/skills/adaptive-communication", "name": "adaptive-communication", "kind": "skill", "official": false, "desc": "Use when detecting ambiguous user intent, hedging language, open-ended framing, personal context before requests, or when unsure whether user wants exploration vs direct answer. Applies to all conversations.", "repo": "https://github.com/bencium/bencium-marketplace/tree/HEAD/adaptive-communication/skills/adaptive-communication", "install": ["npx skills add bencium/bencium-marketplace --skill adaptive-communication"], "stars": 499, "pushed": "2026-10-04T09:16:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:bencium/bencium-marketplace/human-architect-mindset/skills/human-architect-mindset", "name": "human-architect-mindset", "kind": "skill", "official": false, "desc": "Systematic architectural thinking for irreplaceable human capabilities - domain modeling, systems thinking, constraint navigation, and AI-aware problem decomposition. Use proactively when detecting architectural decisions, system design discussions, or multi-component planning.", "repo": "https://github.com/bencium/bencium-marketplace/tree/HEAD/human-architect-mindset/skills/human-architect-mindset", "install": ["npx skills add bencium/bencium-marketplace --skill human-architect-mindset"], "stars": 499, "pushed": "2026-10-04T09:16:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:bencium/bencium-marketplace/negentropy-lens/skills/negentropy-lens", "name": "negentropy-lens", "kind": "skill", "official": false, "desc": "A decision-support framework that evaluates systems, architectures, and strategies through the entropy (decay) vs negentropy (growth) lens, while surfacing tacit knowledge gaps. Use this skill whenever the user is making architecture decisions, evaluating system designs, reviewing technical approaches, choosing between options, auditing existing systems, or planning strategies. Also trigger when the user explicitly asks to \"apply the negentropy lens\", mentions \"entropy\", \"negentropy\", \"tacit kno", "repo": "https://github.com/bencium/bencium-marketplace/tree/HEAD/negentropy-lens/skills/negentropy-lens", "install": ["npx skills add bencium/bencium-marketplace --skill negentropy-lens"], "stars": 499, "pushed": "2026-10-04T09:16:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:bencium/bencium-marketplace/renaissance-architecture/skills/renaissance-architecture", "name": "renaissance-architecture", "kind": "skill", "official": false, "desc": "Software architecture and UI/UX principles for building genuinely new solutions, not derivative work. Use when designing features, architecting software, brainstorming apps, reviewing designs, or during strategy discussions. Focuses on first-principles thinking, simplicity where it matters, and creating rather than commenting.", "repo": "https://github.com/bencium/bencium-marketplace/tree/HEAD/renaissance-architecture/skills/renaissance-architecture", "install": ["npx skills add bencium/bencium-marketplace --skill renaissance-architecture"], "stars": 499, "pushed": "2026-10-04T09:16:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:bencium/bencium-marketplace/vanity-engineering-review/skills/vanity-engineering-review", "name": "vanity-engineering-review", "kind": "skill", "official": false, "desc": "Reviews codebases, architectures, PRs, and technical plans for vanity engineering — code and systems built for the developer's ego, resume, or intellectual pleasure rather than delivering user or business value. Triggers on: \"review this code\", \"is this over-engineered\", \"code review\", \"architecture review\", \"complexity audit\", \"vanity check\", \"is this necessary\", \"simplify this\", \"tech debt review\", or any request to evaluate whether code or architecture is justified by actual requirements. Als", "repo": "https://github.com/bencium/bencium-marketplace/tree/HEAD/vanity-engineering-review/skills/vanity-engineering-review", "install": ["npx skills add bencium/bencium-marketplace --skill vanity-engineering-review"], "stars": 499, "pushed": "2026-10-04T09:16:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jhljx/RecSys-Industrial-Book/.claude/skills/recsys-engineering", "name": "recsys-engineering", "kind": "skill", "official": false, "desc": "Design, implement, debug, and review industrial recommendation-system architecture or algorithms using the released book PDFs, curated examples, and runnable templates.", "repo": "https://github.com/jhljx/RecSys-Industrial-Book/tree/HEAD/.claude/skills/recsys-engineering", "install": ["npx skills add jhljx/RecSys-Industrial-Book --skill recsys-engineering"], "stars": 497, "pushed": "2026-11-13T11:00:21Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jhljx/RecSys-Industrial-Book/.agents/skills/recsys-experiments", "name": "recsys-experiments", "kind": "skill", "official": false, "desc": "Run and extend the repository's recommendation-system projects covering the ranking funnel, two-tower ANN, point-in-time feature consistency, and online serving reliability.", "repo": "https://github.com/jhljx/RecSys-Industrial-Book/tree/HEAD/.agents/skills/recsys-experiments", "install": ["npx skills add jhljx/RecSys-Industrial-Book --skill recsys-experiments"], "stars": 497, "pushed": "2026-11-13T11:00:21Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jhljx/RecSys-Industrial-Book/.agents/skills/recsys-learning-coach", "name": "recsys-learning-coach", "kind": "skill", "official": false, "desc": "Build a grounded recommendation-system study plan, explain a topic for a graduate student or new engineer, and track local progress. Use for learning, revision, interview preparation, and deciding what to study next.", "repo": "https://github.com/jhljx/RecSys-Industrial-Book/tree/HEAD/.agents/skills/recsys-learning-coach", "install": ["npx skills add jhljx/RecSys-Industrial-Book --skill recsys-learning-coach"], "stars": 497, "pushed": "2026-11-13T11:00:21Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jhljx/RecSys-Industrial-Book/.agents/skills/recsys-system-design", "name": "recsys-system-design", "kind": "skill", "official": false, "desc": "Design an industrial recommendation system or subsystem with explicit scale, latency, freshness, consistency, availability, privacy, cost, degradation, observability, and rollout constraints.", "repo": "https://github.com/jhljx/RecSys-Industrial-Book/tree/HEAD/.agents/skills/recsys-system-design", "install": ["npx skills add jhljx/RecSys-Industrial-Book --skill recsys-system-design"], "stars": 497, "pushed": "2026-11-13T11:00:21Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aj-geddes/claude-code-bmad-skills/bmad-planning-orchestrator/skills/bmad-brainstorm", "name": "bmad-brainstorm", "kind": "skill", "official": false, "desc": "Facilitates structured ideation sessions using proven brainstorming techniques (SCAMPER, SWOT, 5 Whys, Mind Mapping, Six Thinking Hats, Reverse Brainstorming, Starbursting, Brainwriting). Produces a brainstorming-report.md of organized ideas and actionable insights. Operates in three intents: Create (new session), Update (add techniques or deepen coverage), Validate (confirm insights align with project goals). Use when the user says: \"brainstorm\", \"ideate\", \"generate ideas\", \"explore options\", \"", "repo": "https://github.com/aj-geddes/claude-code-bmad-skills/tree/HEAD/bmad-planning-orchestrator/skills/bmad-brainstorm", "install": ["npx skills add aj-geddes/claude-code-bmad-skills --skill bmad-brainstorm"], "stars": 494, "pushed": "2026-06-20T02:13:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aj-geddes/claude-code-bmad-skills/bmad-planning-orchestrator/skills/bmad-correct-course", "name": "bmad-correct-course", "kind": "skill", "official": false, "desc": "CROSS-PHASE mid-stream scope correction. Re-enters planning when requirements, features, architecture, or constraints change after planning has started. Re-shards affected epics/stories, re-sequences sprint-status.yaml, appends rationale to decision-log.md. Routes to bmad-epics-and-stories, bmad-sprint-planning, or bmad-parallel-plan as needed. Changes the PLAN, never code. Use when: \"we need to change course\", \"scope has changed\", \"new requirement came in\", \"we're dropping feature X\", \"we need ", "repo": "https://github.com/aj-geddes/claude-code-bmad-skills/tree/HEAD/bmad-planning-orchestrator/skills/bmad-correct-course", "install": ["npx skills add aj-geddes/claude-code-bmad-skills --skill bmad-correct-course"], "stars": 494, "pushed": "2026-06-20T02:13:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aj-geddes/claude-code-bmad-skills/bmad-planning-orchestrator/skills/bmad-investigate", "name": "bmad-investigate", "kind": "skill", "official": false, "desc": "Forensic bug and issue triage. Produces a graded investigation case file: symptoms, evidence (graded A/B/C by confidence), ranked hypotheses, suspected components, and a recommended planning response. INVESTIGATES and DOCUMENTS only — does NOT fix code, run tests, or implement. Hands off as a story to an external dev tool. Use when the user says: - \"investigate this bug\" / \"triage this issue\" / \"debug triage\" - \"what's causing [symptom]\" / \"why is [feature] broken\" - \"something's wrong with [com", "repo": "https://github.com/aj-geddes/claude-code-bmad-skills/tree/HEAD/bmad-planning-orchestrator/skills/bmad-investigate", "install": ["npx skills add aj-geddes/claude-code-bmad-skills --skill bmad-investigate"], "stars": 494, "pushed": "2026-06-20T02:13:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aj-geddes/claude-code-bmad-skills/bmad-planning-orchestrator/skills/bmad-readiness-check", "name": "bmad-readiness-check", "kind": "skill", "official": false, "desc": "SOLUTIONING GATE — validates cohesion across planning artifacts before any implementation begins. Cross-references PRD (or tech-spec), architecture document, and epics/stories for coverage consistency and missing pieces. Returns a verdict of PASS, CONCERNS, or FAIL with specifics. Does NOT touch code. Use when the user says: - \"check if we're ready to build\" / \"are we ready to implement?\" - \"validate planning\" / \"gate check\" / \"readiness check\" - \"run the solutioning gate\" / \"check implementatio", "repo": "https://github.com/aj-geddes/claude-code-bmad-skills/tree/HEAD/bmad-planning-orchestrator/skills/bmad-readiness-check", "install": ["npx skills add aj-geddes/claude-code-bmad-skills --skill bmad-readiness-check"], "stars": 494, "pushed": "2026-06-20T02:13:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aj-geddes/claude-code-bmad-skills/bmad-planning-orchestrator/skills/bmad-spec", "name": "bmad-spec", "kind": "skill", "official": false, "desc": "Distills ANY messy input — brain dump, transcript, long PRD, stakeholder notes, feature request, voice memo — into a tight five-field SPEC.md kernel that any downstream planning skill can consume. The five fields are: Problem, Capabilities, Constraints, Non-Goals, Success Metrics. Use when the user says \"create a spec\", \"write a spec for\", \"distill this into a spec\", \"I have a brain dump\", \"turn this into something structured\", \"clean up these notes\", \"make a SPEC from\", \"I want to define the pr", "repo": "https://github.com/aj-geddes/claude-code-bmad-skills/tree/HEAD/bmad-planning-orchestrator/skills/bmad-spec", "install": ["npx skills add aj-geddes/claude-code-bmad-skills --skill bmad-spec"], "stars": 494, "pushed": "2026-06-20T02:13:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Dodaios/ste80-humanizer", "name": "ste80-humanizer", "kind": "skill", "official": false, "desc": "Rewrite AI-sounding text so it reads like a clear, careful person wrote it, using the \"80% of the way to ASD-STE100\" method that Andrej Karpathy shared. Pass 1 removes the 26 AI tells from Wikipedia's \"Signs of AI writing\" (not-X-but-Y, one-line closers, forced triads, dashes everywhere, stock AI words, inflated claims, chatbot residue). Pass 2 rebuilds the text with the structure of Simplified Technical English: one idea per sentence, short sentences, active voice, simple tenses, plain words. U", "repo": "https://github.com/Dodaios/ste80-humanizer", "install": ["npx skills add Dodaios/ste80-humanizer --skill ste80-humanizer"], "stars": 493, "pushed": "2026-11-10T08:52:47Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:amd/skills/skills/magpie-kernel-evaluator", "name": "magpie-kernel-evaluator", "kind": "skill", "official": false, "desc": "Benchmarks LLM inference and drives GPU kernel optimization with Magpie. Use when the user wants to benchmark vLLM, SGLang, or Atom; capture torch traces; post-process inference traces with TraceLens into prefill/decode and roofline reports; identify top bottleneck kernels or map profiler names to source; analyze or compare HIP, CUDA, PyTorch, or Triton kernels; validate and rank optimized variants; run local, container, or Ray workloads; or mentions Magpie, TraceLens, gap analysis, TTFT, TPOT, ", "repo": "https://github.com/amd/skills/tree/HEAD/skills/magpie-kernel-evaluator", "install": ["npx skills add amd/skills --skill magpie-kernel-evaluator"], "stars": 490, "pushed": "2026-11-13T11:45:41Z", "license": "MIT", "plat": "magpie", "live": "Not checked (runs locally)"}, {"id": "skill:amd/skills/skills/tracelens-analysis-orchestrator", "name": "tracelens-analysis-orchestrator", "kind": "skill", "official": false, "desc": "Orchestrates modular PyTorch profiler trace analysis with TraceLens: generates perf reports, prepares category data, runs system-level and compute-kernel subagents in parallel, validates outputs, and writes a prioritized stakeholder report (analysis.md). Use when the user asks to follow the analysis orchestrator, run the agentic analysis workflow, run it from config <run.yaml>, analyze a trace, compare two traces, or mentions standalone or comparative TraceLens analysis.", "repo": "https://github.com/amd/skills/tree/HEAD/skills/tracelens-analysis-orchestrator", "install": ["npx skills add amd/skills --skill tracelens-analysis-orchestrator"], "stars": 490, "pushed": "2026-11-13T11:45:41Z", "license": "MIT", "plat": "tracelens", "live": "Not checked (runs locally)"}, {"id": "skill:EvoScientist/EvoSkills/skills/evomath-tao", "name": "evomath-tao", "kind": "skill", "official": false, "desc": "Use this skill whenever the user submits a non-trivial mathematical claim that needs a rigorous proof or audit. Trigger on IMO/Putnam/USAMO/Olympiad-style problems, ML/AI theoretical statements, research conjectures, suspected-false claims, multi-step proofs the user already failed on, proof drafts with possible hidden assumptions, or any request containing 'prove rigorously', 'verify this', 'is this true', 'find the gap', 'audit my proof', 'find a counterexample', or 'use EvoMath' that targets ", "repo": "https://github.com/EvoScientist/EvoSkills/tree/HEAD/skills/evomath-tao", "install": ["npx skills add EvoScientist/EvoSkills --skill evomath-tao"], "stars": 487, "pushed": "2026-11-13T17:25:43Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:EvoScientist/EvoSkills/skills/experiment-craft", "name": "experiment-craft", "kind": "skill", "official": false, "desc": "Use this skill when the user wants to debug, diagnose, or systematically iterate on an experiment that already exists, or when they need a structured experiment log for tracking runs, hypotheses, failures, results, and next steps during active research. Apply it to underperforming methods, training that will not converge, regressions after a change, inconsistent results across datasets, aimless experimentation without progress, and questions like 'why doesn't this work?', 'no progress after many", "repo": "https://github.com/EvoScientist/EvoSkills/tree/HEAD/skills/experiment-craft", "install": ["npx skills add EvoScientist/EvoSkills --skill experiment-craft"], "stars": 487, "pushed": "2026-11-13T17:25:43Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:EvoScientist/EvoSkills/skills/experiment-iterative-coder", "name": "experiment-iterative-coder", "kind": "skill", "official": false, "desc": "Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT ", "repo": "https://github.com/EvoScientist/EvoSkills/tree/HEAD/skills/experiment-iterative-coder", "install": ["npx skills add EvoScientist/EvoSkills --skill experiment-iterative-coder"], "stars": 487, "pushed": "2026-11-13T17:25:43Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:EvoScientist/EvoSkills/skills/experiment-pipeline", "name": "experiment-pipeline", "kind": "skill", "official": false, "desc": "Guides structured 4-stage experiment execution with attempt budgets and gate conditions: Stage 1 initial implementation (reproduce baseline), Stage 2 hyperparameter tuning, Stage 3 proposed method validation, Stage 4 ablation study. Integrates with evo-memory (load prior strategies, trigger IVE/ESE) and experiment-craft (5-step diagnostic on failure). Use when: user has a planned experiment, needs to reproduce baselines, organize experiment workflow, or systematically validate a method. Do NOT u", "repo": "https://github.com/EvoScientist/EvoSkills/tree/HEAD/skills/experiment-pipeline", "install": ["npx skills add EvoScientist/EvoSkills --skill experiment-pipeline"], "stars": 487, "pushed": "2026-11-13T17:25:43Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/ai-research-explore", "name": "ai-research-explore", "kind": "skill", "official": false, "desc": "Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow c", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/ai-research-explore", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill ai-research-explore"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/ai-research-reproduction", "name": "ai-research-reproduction", "kind": "skill", "official": false, "desc": "Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and w", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/ai-research-reproduction", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill ai-research-reproduction"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/analyze-project", "name": "analyze-project", "kind": "skill", "official": false, "desc": "Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without modifying code or running heavy jobs. Do not use for active command execution, broad refactoring, speculative code adaptation, or automatic bug fixing.", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/analyze-project", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill analyze-project"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/env-and-assets-bootstrap", "name": "env-and-assets-bootstrap", "kind": "skill", "official": false, "desc": "Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/env-and-assets-bootstrap", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill env-and-assets-bootstrap"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/explore-code", "name": "explore-code", "kind": "skill", "official": false, "desc": "Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted bas", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/explore-code", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill explore-code"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/explore-run", "name": "explore-run", "kind": "skill", "official": false, "desc": "Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with fair-comparison caveats and no-overclaim summaries in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, co", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/explore-run", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill explore-run"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "rigor", "live": "Not checked (runs locally)"}, {"id": "skill:cameronfreer/lean4-skills/plugins/lean4/skills/lean4", "name": "lean4", "kind": "skill", "official": false, "desc": "Use when editing .lean files, debugging Lean 4 builds (type mismatch, sorry, failed to synthesize instance, axiom warnings, lake build errors), searching mathlib for lemmas, formalizing mathematics in Lean, finding a counterexample to, refuting, or disproving a Lean statement, or learning Lean 4 concepts. Also trigger when the user asks for help with Lean 4, mathlib, or lakefile. Do NOT trigger for Coq/Rocq, Agda, Isabelle, HOL4, Mizar, Idris, Megalodon, or other non-Lean theorem provers.", "repo": "https://github.com/cameronfreer/lean4-skills/tree/HEAD/plugins/lean4/skills/lean4", "install": ["npx skills add cameronfreer/lean4-skills --skill lean4"], "stars": 486, "pushed": "2026-11-08T04:28:11Z", "license": "MIT", "plat": "lean 4", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/minimal-run-and-audit", "name": "minimal-run-and-audit", "kind": "skill", "official": false, "desc": "Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/minimal-run-and-audit", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill minimal-run-and-audit"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "rigor", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/paper-context-resolver", "name": "paper-context-resolver", "kind": "skill", "official": false, "desc": "Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing R", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/paper-context-resolver", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill paper-context-resolver"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "rigor", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/repo-intake-and-plan", "name": "repo-intake-and-plan", "kind": "skill", "official": false, "desc": "Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/repo-intake-and-plan", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill repo-intake-and-plan"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "rigor", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/run-train", "name": "run-train", "kind": "skill", "official": false, "desc": "Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized `train_outputs/`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/run-train", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill run-train"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "rigor", "live": "Not checked (runs locally)"}, {"id": "skill:lllllllama/RigorPilot-Skills/skills/safe-debug", "name": "safe-debug", "kind": "skill", "official": false, "desc": "Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.", "repo": "https://github.com/lllllllama/RigorPilot-Skills/tree/HEAD/skills/safe-debug", "install": ["npx skills add lllllllama/RigorPilot-Skills --skill safe-debug"], "stars": 486, "pushed": "2026-09-23T14:14:25Z", "license": "MIT", "plat": "rigor", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.juyterman1000/entroly", "name": "Entroly", "kind": "mcp", "official": null, "desc": "Context Assurance for AI agents: context engineering, AI cost optimization, verification.", "repo": "https://github.com/juyterman1000/entroly", "install": ["pypi:entroly", "npm:entroly-mcp"], "stars": 485, "pushed": "2026-11-13T05:51:15Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/ai-product-bets", "name": "ai-product-bets", "kind": "skill", "official": false, "desc": "Decide which AI features to build, delay, shelve or kill, and whether each one gets better as models improve. Produces an AI Bet Memo (feature-by-feature verdicts, retest triggers, scaffolding ledger, moat and safety check) from a roadmap or idea list. Use for 'AI strategy', 'AI roadmap', 'what should we build with AI', 'will the next model make this obsolete', 'build vs wait for the model', 'will OpenAI/Anthropic build this', 'agent or chatbot', 'is this feature worth shipping'. Draws on 118 Le", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/ai-product-bets", "install": ["npx skills add menkesu/awesome-pm-skills --skill ai-product-bets"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/decide", "name": "decide", "kind": "skill", "official": false, "desc": "Turns a hard product or career decision into a one-page decision memo with the eigenquestion, options, pre-mortem with kill criteria, reversibility rating, a named decider and a review date. Use when you ask 'how should we decide', 'should we build or kill this', 'one-way door or two-way door', 'run a pre-mortem', 'we keep going in circles', 'quit or pivot', or want to grade a decision doc. Draws on 396 insights from 177 Lenny's Podcast guests, led by Annie Duke, Shreyas Doshi and Shishir Mehrot", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/decide", "install": ["npx skills add menkesu/awesome-pm-skills --skill decide"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/eval-plan", "name": "eval-plan", "kind": "skill", "official": false, "desc": "Builds an eval plan for an AI feature - error analysis on real traces, failure-mode ranking, code checks and binary LLM judges validated against human labels, CI tests, production monitoring, and a launch bar. Use when you ask how do we eval this, how do I test an AI feature, our LLM outputs are inconsistent, are the evals good enough, LLM-as-judge, hallucinations, or what accuracy is good enough to launch. Draws on 41 Lenny's Podcast guests incl. Hamel Husain, Shreya Shankar and Sander Schulhof", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/eval-plan", "install": ["npx skills add menkesu/awesome-pm-skills --skill eval-plan"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/exec-comms", "name": "exec-comms", "kind": "skill", "official": false, "desc": "Rewrite an exec update, memo, strategy doc, deck outline, Slack post or talk so it lands with senior people, and get a graded score plus the top 3 fixes. Use when you say 'rewrite this for my VP', 'exec update', 'how do I present to the CEO', 'my memo is too long', 'prep me for this review', 'all-hands talk' or 'I get nervous presenting'. Draws on 296 insights from 90 Lenny's Podcast guests incl. Wes Kao, Nancy Duarte and Matt Abrahams.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/exec-comms", "install": ["npx skills add menkesu/awesome-pm-skills --skill exec-comms"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/experiment", "name": "experiment", "kind": "skill", "official": false, "desc": "Designs, sanity-checks and reads out product experiments (A/B tests, holdouts, pre/post, geo and incrementality tests) and produces an experiment brief plus a readout with a ship / hold / replicate call. Use when you ask 'should we A/B test this', 'how long should the test run', 'is this result real', 'sample size', 'stat sig', 'SRM', 'holdout', 'our win rate is low', or need to grade an existing test plan or readout. Draws on 191 insights from 71 Lenny's Podcast guests, led by Ronny Kohavi, Ram", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/experiment", "install": ["npx skills add menkesu/awesome-pm-skills --skill experiment"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/growth-model", "name": "growth-model", "kind": "skill", "official": false, "desc": "Diagnose where your growth is actually leaking (acquisition, activation, retention, or loops) and produce a growth plan with a named loop, an activation definition, a 90-day experiment portfolio and channel guardrails. Use it when someone says growth stalled, signups don't activate, retention is flat, how do we build a growth loop, should we go PLG, onboarding redesign, churn, referral program, or which channel should we bet on. Draws on 672 insights from 143 Lenny's Podcast guests, led by Elena", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/growth-model", "install": ["npx skills add menkesu/awesome-pm-skills --skill growth-model"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/hard-conversations", "name": "hard-conversations", "kind": "skill", "official": false, "desc": "Writes you a ready-to-use script for a feedback or hard conversation, then rehearses the pushback. Use when you need to give tough feedback, confront a peer, tell a report they are underperforming, deny a promotion, prepare to fire someone, say no to your boss, ask for feedback, or repair a conversation that went badly. Draws on 66 Lenny's Podcast guests including Kim Scott, Carole Robin and Alisa Cohn.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/hard-conversations", "install": ["npx skills add menkesu/awesome-pm-skills --skill hard-conversations"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/hire", "name": "hire", "kind": "skill", "official": false, "desc": "Builds a role scorecard, interview loop, sourcing plan, reference-check guide and close plan for a hire, and grades an existing job description or loop. Use when you say 'I need to hire a PM', 'write a job description', 'interview questions', 'how do I run references', 'first sales hire', 'first marketer', 'head of product search', 'scorecard' or 'how do I close a candidate'. Draws on 210 Lenny's Podcast guests including Adam Ward, Keith Rabois and Lauren Ipsen.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/hire", "install": ["npx skills add menkesu/awesome-pm-skills --skill hire"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/influence", "name": "influence", "kind": "skill", "official": false, "desc": "Builds a stakeholder map and an influence plan for getting buy-in from executives, founders, peers, engineering, sales or legal, then scripts the pitch, the pushback and the follow-up. Use it for stakeholder management, managing up, getting buy-in, handling a founder's pet idea, disagreeing with the CEO, saying no to a flood of requests, or building trust as a new PM. Draws on 140 Lenny's Podcast guests incl. Jessica Fain, Jeffrey Pfeffer and Hilary Gridley.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/influence", "install": ["npx skills add menkesu/awesome-pm-skills --skill influence"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/launch", "name": "launch", "kind": "skill", "official": false, "desc": "Builds a launch plan, launch story and press/distribution plan, then drafts the pitch emails and announcement copy. Use when you say 'launch plan', 'how do I get press', 'pitch a reporter', 'announce funding', 'go-to-market for a feature', 'Product Hunt', 'press release', 'launch messaging' or 'we shipped and nobody noticed'. Draws on 394 insights from 124 Lenny's Podcast guests, led by Emilie Gerber, Lulu Cheng Meservey and Jason Feifer.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/launch", "install": ["npx skills add menkesu/awesome-pm-skills --skill launch"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/metrics", "name": "metrics", "kind": "skill", "official": false, "desc": "Builds your north star metric, a metric tree with owned input metrics and guardrails, and a review cadence, as a one-page metrics spec you can paste into a doc. Use it when you ask 'what should our north star be', 'which metric should this team goal on', 'our dashboard is a mess', 'how do we measure AI productivity', 'activation metric', 'OKR metrics', 'vanity metrics', or 'metrics review cadence'. Draws on 254 insights from 118 Lenny's Podcast guests incl. Sarah Tavel, Crystal Widjaja and Jessi", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/metrics", "install": ["npx skills add menkesu/awesome-pm-skills --skill metrics"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/extras/one-step-better-ai-pm", "name": "one-step-better-ai-pm", "kind": "skill", "official": false, "desc": "Get one actionable improvement for your AI product based on the latest GenAI PM briefs. Fetch the last 5 days of curated AI PM insights from genaipm.com, analyze the current repo/project, find synergy between trending topics and the user's work, then research the source material and apply a concrete improvement. Use when the user wants to improve their AI product, get coaching on AI PM best practices, apply the latest industry insights to their codebase, or run \"/one-step-better-ai-pm\". Requires", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/extras/one-step-better-ai-pm", "install": ["npx skills add menkesu/awesome-pm-skills --skill one-step-better-ai-pm"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "genai pm", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/pmf-check", "name": "pmf-check", "kind": "skill", "official": false, "desc": "Diagnoses product-market fit from survey, usage and pipeline data and returns a scored verdict with the next moves. Use when you ask 'do we have product-market fit', 'is our PMF survey good enough', 'what does 35% very disappointed mean', 'should we scale yet', 'why is growth stalling', or need a Sean Ellis survey, retention check, or PMF level read. Draws on 137 insights from 66 Lenny's Podcast guests incl. Sean Ellis, Todd Jackson and Rahul Vohra.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/pmf-check", "install": ["npx skills add menkesu/awesome-pm-skills --skill pmf-check"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/position", "name": "position", "kind": "skill", "official": false, "desc": "Builds a positioning canvas (competitive alternatives, differentiated value, best-fit customer, category) plus a strategic narrative and sales-pitch storyboard, and grades existing positioning or messaging. Use for 'positioning', 'how do we describe our product', 'messaging', 'our pitch isn't landing', 'category', 'differentiation', 'one-liner', 'value prop', 'old game new game'. Draws on 43 Lenny's Podcast guests incl. April Dunford, Andy Raskin and Arielle Jackson.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/position", "install": ["npx skills add menkesu/awesome-pm-skills --skill position"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/price", "name": "price", "kind": "skill", "official": false, "desc": "Builds a pricing model, packaging/tier structure and willingness-to-pay research plan, then grades your existing pricing page or plan. Use when you ask 'how much should we charge', 'what should our pricing model be', 'seat vs usage vs outcome pricing', 'good-better-best tiers', 'what goes in the free plan', 'should we raise prices', 'freemium vs free trial', or 'how do we price our AI product'. Draws on 199 insights from 79 Lenny's Podcast guests including Madhavan Ramanujam, Naomi Ionita and Pa", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/price", "install": ["npx skills add menkesu/awesome-pm-skills --skill price"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/prioritize", "name": "prioritize", "kind": "skill", "official": false, "desc": "Turns a pile of ideas, requests and goals into a confidence-scored roadmap plus a goals/OKR set the team can actually follow. Use when someone says 'prioritize', 'what should we build next', 'roadmap', 'now next later', 'ICE or RICE', 'write our OKRs', 'quarterly planning', 'too many priorities' or 'sales keeps changing the plan'. Draws on 133 Lenny's Podcast guests including Itamar Gilad, Christina Wodtke and Janna Bastow.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/prioritize", "install": ["npx skills add menkesu/awesome-pm-skills --skill prioritize"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/ship-faster", "name": "ship-faster", "kind": "skill", "official": false, "desc": "Diagnoses why your product team ships slowly and produces a velocity plan with a baseline, a bottleneck map, the top 3 interventions and a stop-doing list. Use it when you say 'we're too slow', 'how do we ship faster', 'projects keep slipping', 'too many meetings', 'approvals take forever', 'our releases are scary', 'velocity', 'cycle time', 'we hired more people and nothing got faster' or 'AI made coding fast but we still ship slowly'. Draws on 226 Lenny's Podcast guests including Farhan Thawar", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/ship-faster", "install": ["npx skills add menkesu/awesome-pm-skills --skill ship-faster"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/spec", "name": "spec", "kind": "skill", "official": false, "desc": "Writes (or rewrites) a spec, PRD, PR-FAQ or shaped pitch and grades it against what the best product teams actually do. Use when you ask 'write a PRD', 'how do I spec this', 'PR/FAQ', 'working backwards doc', 'shape this project', 'do we even need a PRD', or 'engineering says the spec isn't detailed enough'. Draws on 56 insights from 38 Lenny's Podcast guests incl. Ryan Singer, Bill Carr and Lane Shackleton.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/spec", "install": ["npx skills add menkesu/awesome-pm-skills --skill spec"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/strategy", "name": "strategy", "kind": "skill", "official": false, "desc": "Builds a product strategy and stress-tests your moat, then writes a one-page strategy doc (diagnosis, where to play, how to win, guiding policy, coherent actions, moat verdicts). Use for 'we need a product strategy', 'is our moat real', 'do we have a competitive advantage', 'where should we play', 'defensibility', 'should we expand into X', 'our roadmap has no strategy', or 'write a product vision'. Draws on 909 insights from 236 Lenny's Podcast guests incl. Roger Martin, Richard Rumelt and Hami", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/strategy", "install": ["npx skills add menkesu/awesome-pm-skills --skill strategy"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:menkesu/awesome-pm-skills/skills/validate-idea", "name": "validate-idea", "kind": "skill", "official": false, "desc": "Turns a product or startup idea into a ranked list of riskiest assumptions, the cheapest test for each, pass/kill thresholds, and a go/pivot/kill readout, before anyone builds. Use when someone says \"validate my idea\", \"is this worth building\", \"what's the riskiest assumption\", \"design an MVP\", \"fake door\", \"smoke test\", \"will people pay\", \"pre-sell\", \"customer discovery plan\" or \"should we build this\". Draws on 82 Lenny's Podcast guests incl. Mike Maples Jr., Eric Ries and Jake Knapp.", "repo": "https://github.com/menkesu/awesome-pm-skills/tree/HEAD/skills/validate-idea", "install": ["npx skills add menkesu/awesome-pm-skills --skill validate-idea"], "stars": 460, "pushed": "2026-10-06T14:42:27Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:fcakyon/labrat", "name": "labrat", "kind": "mcp", "official": null, "desc": "PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.", "repo": "https://github.com/fcakyon/labrat", "install": [], "stars": 459, "pushed": "2026-11-01T20:19:40Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:ViryaZheng/recomby-geo/plugins/recomby-geo/skills/geo-pipeline", "name": "geo-pipeline", "kind": "skill", "official": false, "desc": "Entry point + orchestrator for the recomby-geo GEO (Generative Engine Optimization) workflow on OpenAI Codex CLI. Use when the user wants to run any stage of the GEO pipeline on a client folder — intake, visibility audit, content-gap analysis, content brief, draft production, distribution, or monthly re-audit — or asks to \"run GEO\", \"audit AI search visibility\", or \"GEO this client\". Codex has no bare slash commands, so this skill is how the 7 stages (that Claude Code runs as /01-intake … /07-re", "repo": "https://github.com/ViryaZheng/recomby-geo/tree/HEAD/plugins/recomby-geo/skills/geo-pipeline", "install": ["npx skills add ViryaZheng/recomby-geo --skill geo-pipeline"], "stars": 455, "pushed": "2026-07-04T04:20:27Z", "license": "MIT", "plat": "openai codex cli", "live": "Not checked (runs locally)"}, {"id": "skill:amazingloft999-droid/mattpocock-skills/skills/personal/edit-article", "name": "edit-article", "kind": "skill", "official": false, "desc": "Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.", "repo": "https://github.com/amazingloft999-droid/mattpocock-skills/tree/HEAD/skills/personal/edit-article", "install": ["npx skills add amazingloft999-droid/mattpocock-skills --skill edit-article"], "stars": 452, "pushed": "2026-04-28T18:26:08Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:prekuter/dryforge/agent-plugin/skills/ready", "name": "ready", "kind": "skill", "official": false, "desc": "Understand what you mean before anything is built. Takes anything — a one-line idea, notes, a spec, or a mix — reads the project first, asks only what is yours to decide, and writes your intent down for you to approve. Use when the user invokes the `ready` skill. Requires git.", "repo": "https://github.com/prekuter/dryforge/tree/HEAD/agent-plugin/skills/ready", "install": ["npx skills add prekuter/dryforge --skill ready"], "stars": 451, "pushed": "2026-11-09T02:01:46Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:scaleapi/agentenv-framework", "name": "agentenv-framework", "kind": "mcp", "official": null, "desc": "Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. U", "repo": "https://github.com/scaleapi/agentenv-framework", "install": [], "stars": 438, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Ruya-AI/cozempic/plugin/skills/diagnose", "name": "diagnose", "kind": "skill", "official": false, "desc": "Analyze Claude Code session bloat — shows token count, context usage %, and bloat breakdown. Use when the user asks about session size, context usage, or when you notice the context window is getting full.", "repo": "https://github.com/Ruya-AI/cozempic/tree/HEAD/plugin/skills/diagnose", "install": ["npx skills add Ruya-AI/cozempic --skill diagnose"], "stars": 430, "pushed": "2026-07-03T23:04:34Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Ruya-AI/cozempic/plugin/skills/guard", "name": "guard", "kind": "skill", "official": false, "desc": "Protect Claude Code sessions from context overflow by running a background daemon that monitors session size and auto-prunes before compaction hits. Use when the user says \"guard\", \"protect session\", \"context getting long\", \"prevent compaction\", \"session management\", or is running agent teams that need continuous context protection.", "repo": "https://github.com/Ruya-AI/cozempic/tree/HEAD/plugin/skills/guard", "install": ["npx skills add Ruya-AI/cozempic --skill guard"], "stars": 430, "pushed": "2026-07-03T23:04:34Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Ruya-AI/cozempic/plugin/skills/treat", "name": "treat", "kind": "skill", "official": false, "desc": "Prune bloated session with a prescription. Removes progress ticks, stale reads, duplicate content, and more.", "repo": "https://github.com/Ruya-AI/cozempic/tree/HEAD/plugin/skills/treat", "install": ["npx skills add Ruya-AI/cozempic --skill treat"], "stars": 430, "pushed": "2026-07-03T23:04:34Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:seyedehsanhadi/sloptrim", "name": "sloptrim", "kind": "skill", "official": false, "desc": "Use when the user wants to humanize text, trim slop, de-AI or de-slop writing, remove AI tells, fix robotic or ChatGPT-sounding prose, or make writing sound human and natural. Also run before delivering a CV, cover letter, email, report, or essay to be sent. Removes 71 documented AI-writing patterns with a local detector, preserves numbers, names and citations, and rebuilds toward a human voice rather than a flat husk. Mode-aware, so it never fabricates voice on factual content.", "repo": "https://github.com/seyedehsanhadi/sloptrim", "install": ["npx skills add seyedehsanhadi/sloptrim --skill sloptrim"], "stars": 425, "pushed": "2026-11-10T17:25:40Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:syahiidkamil/Software-Engineer-AI-Agent-Atlas/.claude/skills/free-will", "name": "free-will", "kind": "skill", "official": false, "desc": "Deliberate-choice procedure for a medium-to-high-stakes engineering fork — when the first plausible solution (the instinct, the default next-token pull) would be costly to get wrong. Fires AUTONOMOUSLY: invoke proactively whenever a fork fits, never wait to be asked — mechanical triggers include a fix failing for the 2nd-3rd time, adding a dependency, schema/migration design, deleting or deprecating things others depend on, changing a public API, choosing an architecture or stack. Refuse the pre", "repo": "https://github.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas/tree/HEAD/.claude/skills/free-will", "install": ["npx skills add syahiidkamil/Software-Engineer-AI-Agent-Atlas --skill free-will"], "stars": 406, "pushed": "2026-11-01T04:14:32Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Innei/ryugi/docs/ryugi/skill-evals/2026-11-13-brainstorming-slim/skills/baseline", "name": "brainstorming", "kind": "skill", "official": false, "desc": "You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).", "repo": "https://github.com/Innei/ryugi/tree/HEAD/docs/ryugi/skill-evals/2026-11-13-brainstorming-slim/skills/baseline", "install": ["npx skills add Innei/ryugi --skill brainstorming"], "stars": 405, "pushed": "2026-11-13T16:53:43Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:waynesutton/builder-skills/skills/think-first", "name": "think-first", "kind": "skill", "official": false, "desc": "Reflection first problem solving for Convex projects: root cause before code, two candidate fixes, a 98 percent confidence bar, and changes limited to the files the request needs. Use before implementing any fix or feature, when a bug report comes in, when a previous fix did not work, or when the request is vague.", "repo": "https://github.com/waynesutton/builder-skills/tree/HEAD/skills/think-first", "install": ["npx skills add waynesutton/builder-skills --skill think-first"], "stars": 404, "pushed": "2026-11-09T10:42:03Z", "license": "Apache-2.0", "plat": "convex", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Context-Engine-AI/Context-Engine", "name": "Context-Engine", "kind": "mcp", "official": null, "desc": "Context-Engine MCP - Agentic Context Compression Suite", "repo": "https://github.com/Context-Engine-AI/Context-Engine", "install": [], "stars": 402, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:pegasi-ai/reins", "name": "reins", "kind": "mcp", "official": null, "desc": "Stop AI agents from doing things you didn't ask for.", "repo": "https://github.com/pegasi-ai/reins", "install": [], "stars": 393, "pushed": null, "license": null, "plat": "reins", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/blindspot-pass", "name": "blindspot-pass", "kind": "skill", "official": false, "desc": "Surface the user's unknown unknowns before work starts. Use when the user is entering an unfamiliar codebase area, an unfamiliar domain (design, video, infra), or explicitly asks for a \"blindspot pass\" or to find their \"unknown unknowns.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/blindspot-pass", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill blindspot-pass"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/brainstorm-prototypes", "name": "brainstorm-prototypes", "kind": "skill", "official": false, "desc": "Generate several genuinely different throwaway variations (designs, approaches, drafts) for the user to react to. Use when the user can only recognize what they want by seeing it — visual design, UX flows, naming, tone — or asks to brainstorm or prototype before building.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/brainstorm-prototypes", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill brainstorm-prototypes"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/change-quiz", "name": "change-quiz", "kind": "skill", "official": false, "desc": "After a working session, produce a report on what changed plus a quiz the user must pass before merging. Use when the user asks \"what did we actually do,\" wants to review a large change, or invokes a quiz before merge.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/change-quiz", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill change-quiz"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/context-audit", "name": "context-audit", "kind": "skill", "official": false, "desc": "Audit the instructions an agent already carries — CLAUDE.md, AGENTS.md, skills, tool descriptions — for contradictions, over-constraint, and duplication, then propose a cut list. Use when an agent ignores its own instructions, when a CLAUDE.md has grown bloated, or when the user asks to audit or rightsize their agent context.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/context-audit", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill context-audit"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/designing-the-analysis", "name": "designing-the-analysis", "kind": "skill", "official": false, "desc": "Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/designing-the-analysis", "install": ["npx skills add K-Dense-AI/science-superpowers --skill designing-the-analysis"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/dispatching-parallel-investigations", "name": "dispatching-parallel-investigations", "kind": "skill", "official": false, "desc": "Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/dispatching-parallel-investigations", "install": ["npx skills add K-Dense-AI/science-superpowers --skill dispatching-parallel-investigations"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/establishing-feasibility-first", "name": "establishing-feasibility-first", "kind": "skill", "official": false, "desc": "Use when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still unknown, when a plan's largest configuration has never been executed, when a memory or wall-clock ceiling is estimated rather than measured, or when someone proposes pre-registering over runs that have never happened", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/establishing-feasibility-first", "install": ["npx skills add K-Dense-AI/science-superpowers --skill establishing-feasibility-first"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/executing-analysis", "name": "executing-analysis", "kind": "skill", "official": false, "desc": "Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/executing-analysis", "install": ["npx skills add K-Dense-AI/science-superpowers --skill executing-analysis"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/framing-research-questions", "name": "framing-research-questions", "kind": "skill", "official": false, "desc": "You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any outcome data is touched", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/framing-research-questions", "install": ["npx skills add K-Dense-AI/science-superpowers --skill framing-research-questions"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/implementation-notes", "name": "implementation-notes", "kind": "skill", "official": false, "desc": "Keep a running implementation-notes.md during a build, logging every deviation from the plan and every discovered edge case. Use whenever implementing against an agreed plan or spec, especially in long autonomous sessions.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/implementation-notes", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill implementation-notes"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/implementation-plan", "name": "implementation-plan", "kind": "skill", "official": false, "desc": "Write an implementation plan that leads with the decisions the user is most likely to change, and buries the mechanical work at the bottom. Use when planning is requested before a build, especially after brainstorming or an interview.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/implementation-plan", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill implementation-plan"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/interview-me", "name": "interview-me", "kind": "skill", "official": false, "desc": "Interview the user one question at a time to resolve remaining ambiguity before implementation. Use when planning or brainstorming is done but unknowns remain, or when the user asks to be interviewed about a task or spec.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/interview-me", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill interview-me"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/investigating-anomalous-results", "name": "investigating-anomalous-results", "kind": "skill", "official": false, "desc": "Use when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/investigating-anomalous-results", "install": ["npx skills add K-Dense-AI/science-superpowers --skill investigating-anomalous-results"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/pitch-packager", "name": "pitch-packager", "kind": "skill", "official": false, "desc": "Package a finished piece of work (spec, prototype, implementation notes) into a single document that gets reviewers to understanding and approval fast. Use when the user needs buy-in, a review, or a shareable summary of what was built and why.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/pitch-packager", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill pitch-packager"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/preregistering-analysis", "name": "preregistering-analysis", "kind": "skill", "official": false, "desc": "Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before results are seen", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/preregistering-analysis", "install": ["npx skills add K-Dense-AI/science-superpowers --skill preregistering-analysis"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/progressive-disclosure", "name": "progressive-disclosure", "kind": "skill", "official": false, "desc": "Split an oversized skill, CLAUDE.md, or spec into an entry file plus files that load only when they're needed.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/progressive-disclosure", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill progressive-disclosure"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/receiving-critical-review", "name": "receiving-critical-review", "kind": "skill", "official": false, "desc": "Use when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable - requires verification, not performative agreement or blind changes", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/receiving-critical-review", "install": ["npx skills add K-Dense-AI/science-superpowers --skill receiving-critical-review"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/reference-hunt", "name": "reference-hunt", "kind": "skill", "official": false, "desc": "Use existing source code as the specification when the user can't describe what they want in words. Use when the user points at a library, module, folder, or site and says \"like this,\" even if it's in a different language or stack.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/reference-hunt", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill reference-hunt"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/regression-proof", "name": "regression-proof", "kind": "skill", "official": false, "desc": "Fix a reported bug with a regression test that demonstrably fails on the original behavior and passes after the fix. Use when implementing a bug fix or checking whether a proposed fix actually addresses a reported failure. Not a general coverage audit or new-feature workflow.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/regression-proof", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill regression-proof"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/reporting-and-archiving-findings", "name": "reporting-and-archiving-findings", "kind": "skill", "official": false, "desc": "Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/reporting-and-archiving-findings", "install": ["npx skills add K-Dense-AI/science-superpowers --skill reporting-and-archiving-findings"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/requesting-red-team-review", "name": "requesting-red-team-review", "kind": "skill", "official": false, "desc": "Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/requesting-red-team-review", "install": ["npx skills add K-Dense-AI/science-superpowers --skill requesting-red-team-review"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/setting-up-reproducible-analysis", "name": "setting-up-reproducible-analysis", "kind": "skill", "official": false, "desc": "Use when starting analysis work that needs isolation, or before executing a pre-registered plan - ensures an isolated, reproducible workspace with pinned environment, fixed seeds, and immutable raw data", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/setting-up-reproducible-analysis", "install": ["npx skills add K-Dense-AI/science-superpowers --skill setting-up-reproducible-analysis"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/subagent-driven-analysis", "name": "subagent-driven-analysis", "kind": "skill", "official": false, "desc": "Use when executing a pre-registered analysis plan with mostly independent steps in the current session", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/subagent-driven-analysis", "install": ["npx skills add K-Dense-AI/science-superpowers --skill subagent-driven-analysis"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/science-superpowers/skills/surveying-prior-work", "name": "surveying-prior-work", "kind": "skill", "official": false, "desc": "Use after framing a question and before designing an analysis, or when choosing a method, judging whether a result is novel, or needing a prior effect size for a power calculation", "repo": "https://github.com/K-Dense-AI/science-superpowers/tree/HEAD/skills/surveying-prior-work", "install": ["npx skills add K-Dense-AI/science-superpowers --skill surveying-prior-work"], "stars": 372, "pushed": "2026-09-13T14:59:31Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Neeeophytee/finding-unknowns-skills/skills/test-blindspots", "name": "test-blindspots", "kind": "skill", "official": false, "desc": "Find consequential behavior that a passing test suite does not establish, using focused exploratory checks. Use when the user asks what green tests miss or wants confidence in test coverage for a specific change. Not a general code review, routine test run, or debugging workflow for an already failing test.", "repo": "https://github.com/Neeeophytee/finding-unknowns-skills/tree/HEAD/skills/test-blindspots", "install": ["npx skills add Neeeophytee/finding-unknowns-skills --skill test-blindspots"], "stars": 372, "pushed": "2026-09-28T03:37:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:bevibing/socrates-skill", "name": "socrates", "kind": "skill", "official": false, "desc": "Socratic method teaching skill that guides users to discover answers themselves through questioning, never giving direct answers. TRIGGER when: user's message contains 'socratic', 'Socrates', or '소크라테스'. Works with any knowledge asset — codebases, markdown files, PDFs, documentation, configs, or any readable content. Respond in the user's language.", "repo": "https://github.com/bevibing/socrates-skill", "install": ["npx skills add bevibing/socrates-skill --skill socrates"], "stars": 371, "pushed": "2026-04-02T01:15:14Z", "license": "MIT", "plat": "any k", "live": "Not checked (runs locally)"}, {"id": "skill:notedit/happy-skills/skills/dev/feature-analyzer", "name": "feature-analyzer", "kind": "skill", "official": false, "desc": "Turn ideas into fully formed designs and specs through natural collaborative dialogue. Use when planning new features, designing architecture, or making significant changes to the codebase.", "repo": "https://github.com/notedit/happy-skills/tree/HEAD/skills/dev/feature-analyzer", "install": ["npx skills add notedit/happy-skills --skill feature-analyzer"], "stars": 341, "pushed": "2026-03-03T13:30:24Z", "license": "MIT", "plat": "feature-analyzer", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/analogy", "name": "analogy", "kind": "skill", "official": false, "desc": "Forced Analogy / Structural Transplant — map the problem onto a structurally similar system from a distant domain (immune system, air-traffic control, restaurant kitchen, jazz ensemble) and transfer its mechanisms back. Use when a solution works but feels derivative, when the industry playbook is exhausted, or when a system in nature or another trade already solves this shape of problem. Triggers include \"analogy\", \"forced analogy\", \"how would a hospital/kitchen/airport handle this\", \"transplant", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/analogy", "install": ["npx skills add danium/lateral-thinking --skill analogy"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/concept-fan", "name": "concept-fan", "kind": "skill", "official": false, "desc": "Edward de Bono's Concept Fan — climb from the current solution to the concept it serves by asking \"what is this a way of doing?\", then fan out alternative concepts and concrete implementations for each. Use when the current solution might be answering the wrong question, when all options look like variations of one idea, or to widen a decision before committing. Triggers include \"concept fan\", \"zoom out\", \"what is this a way of doing\", \"wrong problem\", \"widen the options\", \"abstraction ladder\". ", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/concept-fan", "install": ["npx skills add danium/lateral-thinking --skill concept-fan"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/inversion", "name": "inversion", "kind": "skill", "official": false, "desc": "Assumption Inversion — list the assumptions behind the current approach and flip each one, then ask where the flipped version could actually be true. Use when requirements encode beliefs nobody has questioned, when a design feels inevitable, or when incumbents all share one blind spot. Triggers include \"invert\", \"flip it\", \"flip the assumption\", \"reverse the premise\", \"what if the opposite were true\", \"challenge the assumption\". Do NOT use for analytical work like debugging, code review, or impl", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/inversion", "install": ["npx skills add danium/lateral-thinking --skill inversion"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/lateral", "name": "lateral", "kind": "skill", "official": false, "desc": "Lateral thinking toolkit router — when you're stuck, going in circles, need fresh ideas, or standard brainstorming keeps producing predictable results, this diagnoses the symptom and applies the right technique from the toolkit (random-stimulus, provocation, inversion, concept-fan, analogy, scamper, six-hats, worst-idea). Triggers include \"lateral thinking\", \"I'm stuck on a creative problem\", \"we're going in circles\", \"need fresh ideas\", \"try a different angle\", \"break out of the box\", \"ideas al", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/lateral", "install": ["npx skills add danium/lateral-thinking --skill lateral"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/provocation", "name": "provocation", "kind": "skill", "official": false, "desc": "Edward de Bono's Provocation (Po) technique — state something deliberately wrong or absurd about the problem, then extract useful \"movement\" from it instead of judging it. Use when a constraint feels unbreakable, when every design converges on the same shape, or to escape \"the way it's always done\". Triggers include \"provocation\", \"po\", \"absurd statement\", \"deliberately break the rule\", \"the constraint feels unbreakable\", \"sacred cow\". Do NOT use for analytical work like debugging, code review, ", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/provocation", "install": ["npx skills add danium/lateral-thinking --skill provocation"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/random-stimulus", "name": "random-stimulus", "kind": "skill", "official": false, "desc": "Edward de Bono's Random Stimulus technique — force-fit a random unrelated object, place, or phenomenon onto a creative target to break familiar association patterns. Use for product ideation, feature naming, brand direction, copywriting, architecture and design choices when ideas from outside the problem space would help. Triggers include \"random stimulus\", \"random word\", \"force-fit\", \"de Bono\", \"inject a random object\", \"stare out the window\", \"see the tree and squeeze an idea\". Do NOT use for ", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/random-stimulus", "install": ["npx skills add danium/lateral-thinking --skill random-stimulus"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/scamper", "name": "scamper", "kind": "skill", "official": false, "desc": "SCAMPER (Bob Eberle) — run one existing idea, product, or process through seven systematic transformations - Substitute, Combine, Adapt, Modify/Magnify, Put to other use, Eliminate, Reverse/Rearrange. Use when there is already one working idea and the need is disciplined variations of it, e.g. \"give me variations\", \"riff on this\", \"scamper\", \"what can we substitute or combine\", \"remix this feature\". Do NOT use for analytical work like debugging, code review, or implementation tasks, and not for ", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/scamper", "install": ["npx skills add danium/lateral-thinking --skill scamper"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/six-hats", "name": "six-hats", "kind": "skill", "official": false, "desc": "Parallel thinking with six enforced perspectives, based on Edward de Bono's Six Thinking Hats® method - examine one decision through sequential passes for facts, feelings, risks, benefits, alternatives, and synthesis, never blending them. Use when a decision is being made too fast or from one angle, when everyone agrees suspiciously quickly, when the discussion mixes emotions with data, or for \"six hats\", \"thinking hats\", \"look at this from every angle\", \"structured devil's advocate\". Do NOT use", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/six-hats", "install": ["npx skills add danium/lateral-thinking --skill six-hats"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:danium/lateral-thinking/skills/worst-idea", "name": "worst-idea", "kind": "skill", "official": false, "desc": "Worst Possible Idea (reverse brainstorming) — deliberately design the most terrible solutions to the problem, name the mechanism that makes each one bad, then invert those mechanisms into strong features. Use when ideas all feel timid and safe, when the team is optimizing instead of imagining, or for \"worst idea\", \"reverse brainstorming\", \"what would make this worse\", \"design the disaster\", \"how would we guarantee failure\". Do NOT use for analytical work like debugging, code review, or implement", "repo": "https://github.com/danium/lateral-thinking/tree/HEAD/skills/worst-idea", "install": ["npx skills add danium/lateral-thinking --skill worst-idea"], "stars": 334, "pushed": "2026-09-13T11:26:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LukeRenton/explore-claude-code/.claude/skills/core-brainstorm", "name": "core-brainstorm", "kind": "skill", "official": false, "desc": "Collaborative brainstorming mode for thinking through problems, ideas, and features before planning. Use when the user wants to discuss, explore ideas, or think through a problem without writing code.", "repo": "https://github.com/LukeRenton/explore-claude-code/tree/HEAD/.claude/skills/core-brainstorm", "install": ["npx skills add LukeRenton/explore-claude-code --skill core-brainstorm"], "stars": 332, "pushed": "2026-10-30T07:54:22Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Jianing1117/jianing-skills/content-engine", "name": "content-engine", "kind": "skill", "official": false, "desc": "会自我迭代的内容引擎。三件事：学（拆爆款沉淀方法论）、改（诊断并优化自己的稿子）、复盘（数据回流校准方法论）。 方法论活在 playbook.md 和用户的知识库里，不写死在流程里——方法论更新了，引擎的判断下一次就跟着变。 【学】丢来爆款视频链接、点点/小红书智能体的拆解、别人的高赞内容，或说「这条为什么能爆」「帮我拆一下」「这条值得学什么」时触发。 【改】丢来自己的脚本/文案/初稿，或说「帮我诊断」「这条能发吗」「改一下开头」「优化标题」「怎么让人看完」「切成短视频」时触发。 【复盘】说「月度复盘」「复盘一下」「数据导好了」时触发；随时说「这条起量了 / 扑了」也算，引擎当场拆。 不适用：从零起号定位（→awesome-creator-positioning）、封面制图（→awesome-creator-cover）、公众号排版（→wechat-formatter）。", "repo": "https://github.com/Jianing1117/jianing-skills/tree/HEAD/content-engine", "install": ["npx skills add Jianing1117/jianing-skills --skill content-engine"], "stars": 330, "pushed": "2026-10-30T08:54:52Z", "license": null, "plat": "content-engine", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.melonelish/context-engine", "name": "Context Engine", "kind": "mcp", "official": null, "desc": "Compress logs, retrieval chunks, and code context into structured LLM-ready signal.", "repo": "https://github.com/melonelish/context-engine", "install": ["pypi:melonelish-context-engine"], "stars": 324, "pushed": "2026-07-11T09:00:37Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:yucezerey/turkish-anti-ai-skill", "name": "turkish-anti-ai-skill", "kind": "skill", "official": false, "desc": "Türkçe metni insan eliyle yazılmış gibi doğal yazar veya onarır. Kullanıcı Türkçe bir metin için \"insanileştir\", \"humanize et\", \"AI hissiyatını sil\" veya \"doğal Türkçeye çevir\" dediğinde, metinde çeviri kokusu ya da TDK hatası denetimi istediğinde, Türkçe blog, makale, kurumsal yazı, sosyal medya içeriği veya teknik doküman yazarken kullan.", "repo": "https://github.com/yucezerey/turkish-anti-ai-skill", "install": ["npx skills add yucezerey/turkish-anti-ai-skill --skill turkish-anti-ai-skill"], "stars": 309, "pushed": "2026-11-11T01:15:26Z", "license": "MIT", "plat": "turkish-anti-ai-skill", "live": "Not checked (runs locally)"}, {"id": "skill:Li-Evan/Bloom/skills/bloom-tutor", "name": "bloom-tutor", "kind": "skill", "official": false, "desc": "Use when 用户想以一对一苏格拉底导师的方式系统学习一个课题——开一门新课、推进课题的下一篇、提交学习反馈或说「我读完了」、或整理/查看学习日志。基于 Bloom 2 Sigma 的交互式学习系统。触发词：开个文件夹学X、我想学X、帮我学X、继续、下一篇、我读完了、整理学习、查看学习日志、interactive Socratic tutoring、Bloom 2 sigma learning。", "repo": "https://github.com/Li-Evan/Bloom/tree/HEAD/skills/bloom-tutor", "install": ["npx skills add Li-Evan/Bloom --skill bloom-tutor"], "stars": 305, "pushed": "2026-11-13T10:06:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Li-Evan/Bloom/skills/learn-crossover", "name": "learn-crossover", "kind": "skill", "official": false, "desc": "当用户学习或接触一个新概念/新技术/新算法/新领域时使用（尤其感到陌生或有点难时）。用「跨界原则」拿用户已掌握的知识快速撬动新知识——指出他其实已经学过的同一个东西（换了名字）、结构同构的旧知识、能解释新知识的已有知识，并点出新概念体现的跨领域元知识模式。让「学新东西」变成「发现你已经会了一半」。触发场景：学 X、接触 X、这个好难、X 是什么、帮我理解 X。", "repo": "https://github.com/Li-Evan/Bloom/tree/HEAD/skills/learn-crossover", "install": ["npx skills add Li-Evan/Bloom --skill learn-crossover"], "stars": 305, "pushed": "2026-11-13T10:06:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Li-Evan/Bloom/skills/learn-deep", "name": "learn-deep", "kind": "skill", "official": false, "desc": "用户学任何新概念/新技术/新理论的默认深度入口——一次性用五个视角把概念讲透并帮他选深入方向：crossover 用已会的撬动、occam 框定该学多深、graph 建知识地图、prototype 最小原型迭代、feynman 拷问检验。触发场景：我想学 X、理解 X、X 是什么、讲讲 X、搞懂 X、学一下 X、深入 X、给我讲讲 X。除非用户明确只要某一个视角（那时改用对应的单个 learn-* skill）。", "repo": "https://github.com/Li-Evan/Bloom/tree/HEAD/skills/learn-deep", "install": ["npx skills add Li-Evan/Bloom --skill learn-deep"], "stars": 305, "pushed": "2026-11-13T10:06:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Li-Evan/Bloom/skills/learn-feynman", "name": "learn-feynman", "kind": "skill", "official": false, "desc": "当用户学完一个东西想自查是否真懂、或觉得「好像懂了」但不确定时使用。用「费曼学习法」让他用自己的话把概念讲出来，你扮好奇学生专挑他含糊/跳过的地方追问，把「讲不顺的模糊处」揪出来作为没真懂的漏洞，定位是缺前置知识还是没想透，判断理解是否闭环。触发场景：我学完了考考我、自查一下、我好像懂了、我讲讲你看对不对、检验我的理解、这个我真懂了吗。", "repo": "https://github.com/Li-Evan/Bloom/tree/HEAD/skills/learn-feynman", "install": ["npx skills add Li-Evan/Bloom --skill learn-feynman"], "stars": 305, "pushed": "2026-11-13T10:06:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Li-Evan/Bloom/skills/learn-graph", "name": "learn-graph", "kind": "skill", "official": false, "desc": "当用户要系统学一个新领域、不知道从哪入手、或担心「学得不够系统」时使用。用「知识图谱学习法」和用户一起构建该领域的概念/用途/父子节点图谱（自己建图的过程本身就是学习），标出复用价值最高的节点和「从常识就能入门的点」，给出有效学习路径并回答「学到哪算够」。触发场景：系统学 X 领域、从哪开始学、学得不系统、想要 X 的全貌、规划学习路径、这个领域有多大。", "repo": "https://github.com/Li-Evan/Bloom/tree/HEAD/skills/learn-graph", "install": ["npx skills add Li-Evan/Bloom --skill learn-graph"], "stars": 305, "pushed": "2026-11-13T10:06:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Li-Evan/Bloom/skills/learn-occam", "name": "learn-occam", "kind": "skill", "official": false, "desc": "当用户纠结要不要学某个东西、学到什么程度，或在做时间/精力/项目取舍时使用。用「简易策略」先逼问要解决的既定问题，检验现有知识能否搞定，评估知识贬值速度与 ROI，用「探索 vs 应用」判断该学新的还是用现有的，给出「学 / 不学 / 只学最小够用」的结论，避免囤积会贬值的知识。触发场景：要不要学 X、值不值得深入、学到什么程度够、时间不够该学啥、该深挖还是够用就行。", "repo": "https://github.com/Li-Evan/Bloom/tree/HEAD/skills/learn-occam", "install": ["npx skills add Li-Evan/Bloom --skill learn-occam"], "stars": 305, "pushed": "2026-11-13T10:06:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Li-Evan/Bloom/skills/learn-prototype", "name": "learn-prototype", "kind": "skill", "official": false, "desc": "当用户要做/研究一个东西、想提升某个技能、或觉得某个产出不够好想改进时使用。用「改良主义」先逼出一个最垃圾但能跑的原型，再引导他自己洞察缺陷、提出问题，提改良假说→实践检验→迭代，信奉「洞察缺陷 > 如何优化 > 最终答案」，并把每次改进的方法本身沉淀成方法论。触发场景：要做 X、研究 X、提升 X、X 做得不好想改进、怎么优化 X、不知从哪下手做。", "repo": "https://github.com/Li-Evan/Bloom/tree/HEAD/skills/learn-prototype", "install": ["npx skills add Li-Evan/Bloom --skill learn-prototype"], "stars": 305, "pushed": "2026-11-13T10:06:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:akitaonrails/my-skills/akita-finish", "name": "akita-finish", "kind": "skill", "official": false, "desc": "Final readability and voice pass for Akita's blog articles (PT-BR canonical, EN sibling). Run AFTER the humanizer skill on every new article draft and on any substantial edit, before showing the text to Akita. Enforces short paragraphs, lists for enumerations, blockquotes for takeaways, ### subsections, italics/bold conventions, rounded numbers in prose, and the voice bans (no \"não é X, é Y\" tails, no honesty/directness signaling, no process asides, no effusive flourishes).", "repo": "https://github.com/akitaonrails/my-skills/tree/HEAD/akita-finish", "install": ["npx skills add akitaonrails/my-skills --skill akita-finish"], "stars": 304, "pushed": "2026-10-31T23:46:39Z", "license": null, "plat": "akita-finish", "live": "Not checked (runs locally)"}, {"id": "skill:akitaonrails/my-skills/fact-check", "name": "fact-check", "kind": "skill", "official": false, "desc": "Adversarial fact-checking of the user's articles and essays (typically blog posts from akitaonrails-hugo, any markdown/text file), verifying every claim against online primary sources via cheap headless checker subagents spawned on coding-agent CLIs (zcode, claude, codex, opencode, kimi, grok, agy). Use when the user says \"fact-check\", \"check the facts/claims in this article\", \"tear apart / destroy / nitpick my post\", \"pre-publish review\", \"what can be used against me in this text\", or hands ove", "repo": "https://github.com/akitaonrails/my-skills/tree/HEAD/fact-check", "install": ["npx skills add akitaonrails/my-skills --skill fact-check"], "stars": 304, "pushed": "2026-10-31T23:46:39Z", "license": null, "plat": "fact-check", "live": "Not checked (runs locally)"}, {"id": "skill:akitaonrails/my-skills/reflect", "name": "reflect", "kind": "skill", "official": false, "desc": "Review recent work, find repeated workflow patterns, and suggest reusable skills, agents, commands, config changes, or playbooks. Use when the user asks to learn from past sessions, improve recurring workflows, or identify what should be turned into reusable agent instructions.", "repo": "https://github.com/akitaonrails/my-skills/tree/HEAD/reflect", "install": ["npx skills add akitaonrails/my-skills --skill reflect"], "stars": 304, "pushed": "2026-10-31T23:46:39Z", "license": null, "plat": "reflect", "live": "Not checked (runs locally)"}, {"id": "skill:yan-labs/yan-skills/write", "name": "write", "kind": "skill", "official": false, "desc": "所有语言写作的统一入口，写文章、写稿、改稿、写文案、写脚本、去 AI 味都从这里进。 一个流程走到底：判断手上有什么，读对应的 references 自己执行（挖素材、定结构、诊断初稿、文案、传播与标题）， 最后强制过一遍内置稿件体检（检测脚本 scripts/check.py）。 触发词：写文章、写稿、改稿、写作、写文案、写脚本、口播稿、公众号、小红书、标题、翻译、摘要、排版、去 AI 味、humanize、 这篇读着别扭、AI 味太重、读完脑子是乱的、write copy、rewrite、proofread、de-AI、landing page copy、FAQ、meta description。", "repo": "https://github.com/yan-labs/yan-skills/tree/HEAD/write", "install": ["npx skills add yan-labs/yan-skills --skill write"], "stars": 304, "pushed": "2026-11-13T19:14:47Z", "license": "MIT", "plat": "write", "live": "Not checked (runs locally)"}, {"id": "skill:leopiney/linus-torvalds-skills/skills/torvalds-doctrine", "name": "torvalds-doctrine", "kind": "skill", "official": false, "desc": "Aggressive AI coding guidelines inspired by Linus Torvalds. Enforce data structure supremacy, simple code, proof over hand-waving, and a bogus-shit detector.", "repo": "https://github.com/leopiney/linus-torvalds-skills/tree/HEAD/skills/torvalds-doctrine", "install": ["npx skills add leopiney/linus-torvalds-skills --skill torvalds-doctrine"], "stars": 297, "pushed": "2026-04-23T14:21:02Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:1105216375-alt/resimind/skills/verify-and-repair-algebra", "name": "verify-and-repair-algebra", "kind": "skill", "official": false, "desc": "Check and repair rational polynomial identities with ResiMind when an expansion looks wrong, two algebraic answers disagree, or an agent needs exact coefficient evidence before using a result. Applies to bounded polynomial algebra, not calculus, arbitrary theorem proving or engineering certification.", "repo": "https://github.com/1105216375-alt/resimind/tree/HEAD/skills/verify-and-repair-algebra", "install": ["npx skills add 1105216375-alt/resimind --skill verify-and-repair-algebra"], "stars": 292, "pushed": "2026-10-15T15:00:55Z", "license": "MIT", "plat": "resimind", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:puppyone-ai/DeepWideResearch", "name": "DeepWideResearch", "kind": "mcp", "official": null, "desc": "Agentic RAG for any scenario. Customize sources, depth, and width", "repo": "https://github.com/puppyone-ai/DeepWideResearch", "install": [], "stars": 290, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:intercom/2x-skills/plugins/incident-tools/skills/five-whys", "name": "five-whys", "kind": "skill", "official": false, "desc": "Run an evidence-grounded five-whys RCA: claims verified by fact-checker subagents, causal links stress-tested by a cynic subagent. For internal RCAs, post-mortems, \"why did this happen\". Not for customer-facing incident write-ups.", "repo": "https://github.com/intercom/2x-skills/tree/HEAD/plugins/incident-tools/skills/five-whys", "install": ["npx skills add intercom/2x-skills --skill five-whys"], "stars": 277, "pushed": "2026-11-11T13:07:30Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Jacck/mcp-reasoner", "name": "mcp-reasoner", "kind": "mcp", "official": null, "desc": "A systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation.", "repo": "https://github.com/Jacck/mcp-reasoner", "install": [], "stars": 277, "pushed": null, "license": null, "plat": "claude desktop", "live": "Not checked (runs locally)"}, {"id": "skill:yzhao062/anywhere-agents/packages/pypi/anywhere_agents/composer/skills/implement-review", "name": "implement-review", "kind": "skill", "official": false, "desc": "Review loop (/vet) for staged changes or a plan. Detects the content type, sends a review request to Codex, Agy, Claude, or Grok, categorizes the feedback, revises, and iterates. Works for code, papers, proposals, or any text-based output.", "repo": "https://github.com/yzhao062/anywhere-agents/tree/HEAD/packages/pypi/anywhere_agents/composer/skills/implement-review", "install": ["npx skills add yzhao062/anywhere-agents --skill implement-review"], "stars": 261, "pushed": "2026-11-14T04:48:00Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:liucongg/liucong-skills/skills/liucong-model-eval", "name": "liucong-model-eval", "kind": "skill", "official": false, "desc": "初始化并执行可追溯的模型对照测评，支持权威视觉 benchmark 子集、用户自有题库和前后端真实任务；固定题面、隔离工具、保留首轮产物并验收。用于从零搭建测评环境、按个人题库跑测、同题比较模型或整理测评报告。", "repo": "https://github.com/liucongg/liucong-skills/tree/HEAD/skills/liucong-model-eval", "install": ["npx skills add liucongg/liucong-skills --skill liucong-model-eval"], "stars": 252, "pushed": "2026-10-15T08:15:52Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:enmerasoftware/ai-design-check/plugin/skills/design", "name": "ai-design-check", "kind": "skill", "official": false, "desc": "Design rules and a checker for interfaces built with AI agents (dashboards, admin panels, SaaS screens). Use before building or changing any UI screen, component, button, form field, label, menu item, table or chart, and before reviewing UI changes: shared components with one look per element, sentence case, one type and radius scale, one selector language, focus and names for accessibility, locale-aware formatting, no generated-UI tells.", "repo": "https://github.com/enmerasoftware/ai-design-check/tree/HEAD/plugin/skills/design", "install": ["npx skills add enmerasoftware/ai-design-check --skill ai-design-check"], "stars": 247, "pushed": "2026-11-08T01:08:54Z", "license": "MIT", "plat": "ai design", "live": "Not checked (runs locally)"}, {"id": "skill:enmerasoftware/ai-design-check/plugin/skills/design-fix", "name": "ai-design-fix", "kind": "skill", "official": false, "desc": "Repairs AI-built screens that look generated. Measures them with the ai-design-check rules and checker, writes a short brief from the product, then works through usability, truth, copy, numbers, components, order and decoration before building the proof. Checks again and reports the counts before and after. Use when the user asks to fix, clean up or improve the design of a screen, or says it looks generated, vibecoded or sloppy. Keeps features, data and content.", "repo": "https://github.com/enmerasoftware/ai-design-check/tree/HEAD/plugin/skills/design-fix", "install": ["npx skills add enmerasoftware/ai-design-check --skill ai-design-fix"], "stars": 247, "pushed": "2026-11-08T01:08:54Z", "license": "MIT", "plat": "ai design", "live": "Not checked (runs locally)"}, {"id": "skill:xuec699-sudo/math-modeling-skills", "name": "math-modeling-contest", "kind": "skill", "official": false, "desc": "Industrial-grade math modeling contest agent for CUMCM, 51MCM, and MCM/ICM. Use when the user needs to solve, analyze, write, revise, or audit a math modeling contest problem end-to-end, including 数学建模, 国赛, 五一赛, 美赛, CUMCM, 51MCM, MCM, and ICM problems. Supports Manual checkpoints and Autopilot execution, model design, reproducible code, figure generation, paper writing, DOCX/PDF output, and revision workflows.", "repo": "https://github.com/xuec699-sudo/math-modeling-skills", "install": ["npx skills add xuec699-sudo/math-modeling-skills --skill math-modeling-contest"], "stars": 246, "pushed": "2026-06-07T08:41:48Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LLMQuant/skills/skills/llmquant-rates-fx", "name": "llmquant-rates-fx", "kind": "skill", "official": false, "desc": "Router skill for LLMQuant rates and FX workflows. Use when the user needs yield curve, duration, central-bank divergence, FX carry, real-rate, dollar, or cross-currency analysis.", "repo": "https://github.com/LLMQuant/skills/tree/HEAD/skills/llmquant-rates-fx", "install": ["npx skills add LLMQuant/skills --skill llmquant-rates-fx"], "stars": 245, "pushed": "2026-05-30T17:16:44Z", "license": "MIT", "plat": "llmquant", "live": "Not checked (runs locally)"}, {"id": "skill:LLMQuant/skills/skills/llmquant-risk", "name": "llmquant-risk", "kind": "skill", "official": false, "desc": "Router skill for LLMQuant risk workflows. Use when the user needs fear scoring, VIX regime, hedge design, or research health checks.", "repo": "https://github.com/LLMQuant/skills/tree/HEAD/skills/llmquant-risk", "install": ["npx skills add LLMQuant/skills --skill llmquant-risk"], "stars": 245, "pushed": "2026-05-30T17:16:44Z", "license": "MIT", "plat": "llmquant", "live": "Not checked (runs locally)"}, {"id": "skill:LLMQuant/skills/skills/llmquant-strategies", "name": "llmquant-strategies", "kind": "skill", "official": false, "desc": "Router skill for LLMQuant hedge-fund and PM strategy workflows. Use when the user needs equity long/short, long-biased, event-driven, macro, quant, or multi-strategy playbooks.", "repo": "https://github.com/LLMQuant/skills/tree/HEAD/skills/llmquant-strategies", "install": ["npx skills add LLMQuant/skills --skill llmquant-strategies"], "stars": 245, "pushed": "2026-05-30T17:16:44Z", "license": "MIT", "plat": "llmquant", "live": "Not checked (runs locally)"}, {"id": "skill:entireio/skills/skills/teach", "name": "teach", "kind": "skill", "official": false, "desc": "Use when a developer wants a topic-focused guided lesson built from canonical checkpoints, not a whole-repo overview. Triggers on phrases like \\\"teach me <topic>\\\", \\\"teach me how this repo handles\\\", \\\"how does <topic> work in this repo\\\", \\\"give me a lesson on\\\", \\\"school me on\\\", and \\\"I need to learn about\\", "repo": "https://github.com/entireio/skills/tree/HEAD/skills/teach", "install": ["npx skills add entireio/skills --skill teach"], "stars": 240, "pushed": "2026-11-06T08:47:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:johnku2011/boilerplates-with-ai-skills/shared/skills/qa-lead", "name": "qa-lead", "kind": "skill", "official": false, "desc": "Use when acting as a startup QA lead for acceptance checks, release risk, regression focus, and verification evidence.", "repo": "https://github.com/johnku2011/boilerplates-with-ai-skills/tree/HEAD/shared/skills/qa-lead", "install": ["npx skills add johnku2011/boilerplates-with-ai-skills --skill qa-lead"], "stars": 239, "pushed": "2026-08-24T15:57:37Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jamesrochabrun/skills/skills/openai-prompt-engineer", "name": "openai-prompt-engineer", "kind": "skill", "official": false, "desc": "Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.", "repo": "https://github.com/jamesrochabrun/skills/tree/HEAD/skills/openai-prompt-engineer", "install": ["npx skills add jamesrochabrun/skills --skill openai-prompt-engineer"], "stars": 233, "pushed": "2026-01-14T07:21:27Z", "license": "MIT", "plat": "openai gpt-5", "live": "Not checked (runs locally)"}, {"id": "skill:mattnowdev/thinking-partner/skills/thinking-partner", "name": "thinking-partner", "kind": "skill", "official": false, "desc": "A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly. Use this skill whenever a user says \"help me think through X\", \"challenge my thinking\", \"what am I missing\", \"apply mental models to this\", \"play devil's advocate\", \"stress test this idea\", \"poke holes in my plan\", \"help me decide between X and Y\", \"what are the second-order effects\", \"I'm stuck on a decision\", names any specific model (SWOT, first ", "repo": "https://github.com/mattnowdev/thinking-partner/tree/HEAD/skills/thinking-partner", "install": ["npx skills add mattnowdev/thinking-partner --skill thinking-partner"], "stars": 229, "pushed": "2026-03-31T17:19:54Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tamdogood/builder-essential-skills/skills/top-one-percent", "name": "top-one-percent", "kind": "skill", "official": false, "desc": "Teach any topic deeply from first principles and build evidence-based paths toward exceptional capability. Use when a user asks to understand, explain, learn, or deep-dive into a topic; asks why or how something works, why it matters, how alternatives compare, or what different perspectives reveal; requests current paradigms, a complete roadmap or curriculum, deliberate practice and feedback, or a top-1%-level mastery plan. Answer explanation questions completely before offering a curriculum; ro", "repo": "https://github.com/tamdogood/builder-essential-skills/tree/HEAD/skills/top-one-percent", "install": ["npx skills add tamdogood/builder-essential-skills --skill top-one-percent"], "stars": 228, "pushed": "2026-08-16T16:30:17Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:scarletkc/agents/skills/ask-to-plan", "name": "ask-to-plan", "kind": "skill", "official": false, "desc": "Guide a user from an unclear idea to an actionable plan through the agent harness's native ask tool and clickable choices. Use when the user wants a guided requirements interview, step-by-step questions, help deciding what to build, or a button-led path from goals to scope, solution, and technology choices. Do not turn an ordinary implementation request or a single clarification into an interview.", "repo": "https://github.com/scarletkc/agents/tree/HEAD/skills/ask-to-plan", "install": ["npx skills add scarletkc/agents --skill ask-to-plan"], "stars": 227, "pushed": "2026-11-02T19:36:35Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:isas1/skills/skills/eli5-succinct", "name": "eli5-succinct", "kind": "skill", "official": false, "desc": "Explain anything in plain language, briefly, in chat, with no file written. Code, a concept, an error message, a config, a decision, a diff, a dependency, why something broke. Use when the user says \"eli5 succinct\", \"eli5\", \"eli15\", \"eli18\", \"elif18\", \"explain like I'm five\", \"explain this simply\", \"what does this actually do\", \"in plain english\", \"TL;DR\", \"STE\", \"technical english\", \"no dumbing down\", \"yes or no\", or otherwise asks to understand something rather than to receive a document. Succ", "repo": "https://github.com/isas1/skills/tree/HEAD/skills/eli5-succinct", "install": ["npx skills add isas1/skills --skill eli5-succinct"], "stars": 227, "pushed": "2026-09-26T13:06:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:hoangnb24/skills/plugins/khuym/skills/goal-griller", "name": "goal-griller", "kind": "skill", "official": false, "desc": "Turn vague ideas into verifiable Codex goals. Use when the user mentions goal mode, /goal, create_goal, autonomous work, or asks for an interview before goal creation.", "repo": "https://github.com/hoangnb24/skills/tree/HEAD/plugins/khuym/skills/goal-griller", "install": ["npx skills add hoangnb24/skills --skill goal-griller"], "stars": 227, "pushed": "2026-11-11T13:59:29Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:hoangnb24/skills/plugins/khuym/skills/prompt-leverage", "name": "prompt-leverage", "kind": "skill", "official": false, "desc": "Upgrade raw prompts into execution-ready instructions. Use when asked to improve a prompt, add context, tool, verification, or done rules, extract a template, or design an enhancement hook.", "repo": "https://github.com/hoangnb24/skills/tree/HEAD/plugins/khuym/skills/prompt-leverage", "install": ["npx skills add hoangnb24/skills --skill prompt-leverage"], "stars": 227, "pushed": "2026-11-11T13:59:29Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:hoangnb24/skills/plugins/khuym/skills/sequence-execution-plan", "name": "sequence-execution-plan", "kind": "skill", "official": false, "desc": "Build dependency-aware plans from goals, incidents, backlogs, or priorities. Use when priority conflicts with execution order and Codex must test prerequisites or mitigations, preserve absorbed-work traceability, or explain why lower-priority work happens first.", "repo": "https://github.com/hoangnb24/skills/tree/HEAD/plugins/khuym/skills/sequence-execution-plan", "install": ["npx skills add hoangnb24/skills --skill sequence-execution-plan"], "stars": 227, "pushed": "2026-11-11T13:59:29Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:kangarooking/system-prompt-skills/injection-defense", "name": "injection-defense", "kind": "skill", "official": false, "desc": "当系统提示需要防御提示注入、越狱攻击、社会工程、内容信任边界突破等安全威胁时调用此 Skill。适用于构建 AI Agent、聊天机器人、文档处理助手等任何接受外部输入的系统提示。不适用于纯内部工具调用场景或已完全隔离的沙箱环境，也不适用于 UI 布局或响应格式设计。", "repo": "https://github.com/kangarooking/system-prompt-skills/tree/HEAD/injection-defense", "install": ["npx skills add kangarooking/system-prompt-skills --skill injection-defense"], "stars": 224, "pushed": "2026-05-04T05:20:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:kangarooking/system-prompt-skills/output-formatting", "name": "output-formatting", "kind": "skill", "official": false, "desc": "当系统提示词需要为 AI 输出定义格式规范、长度约束、风格指南或反\"AI味\"策略时调用此 Skill。适用于聊天机器人、CLI 工具、移动端助手、设计生成器等需要自适应输出的场景。不适用于：纯内容生成（无格式要求）、内部推理链设计、安全策略制定。当需求仅涉及\"用什么格式返回数据\"而非\"如何控制输出的风格与密度\"时，这不是最佳 Skill。", "repo": "https://github.com/kangarooking/system-prompt-skills/tree/HEAD/output-formatting", "install": ["npx skills add kangarooking/system-prompt-skills --skill output-formatting"], "stars": 224, "pushed": "2026-05-04T05:20:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:kangarooking/system-prompt-skills/safety-guardrails", "name": "safety-guardrails", "kind": "skill", "official": false, "desc": "当需要为 AI 系统设计多层安全防线、内容过滤策略和伦理边界时调用此 skill。典型场景包括：设计拒绝策略与升级机制、防御 prompt 注入攻击、实现领域特定安全规则（教育、医疗、金融等）、定义 AI 的价值观锚点。 不适用于：定义工具操作权限（应使用 tool-specification）、定义 AI 身份（persona-design）、调整输出风格（personality-system）。 关键 trigger 信号：AI 涉及敏感话题、需要设计\"拒绝回答\"策略、存在 prompt 注入风险、特定行业合规要求、需要多层防御而非单一规则。", "repo": "https://github.com/kangarooking/system-prompt-skills/tree/HEAD/safety-guardrails", "install": ["npx skills add kangarooking/system-prompt-skills --skill safety-guardrails"], "stars": 224, "pushed": "2026-05-04T05:20:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:kangarooking/system-prompt-skills/voice-optimization", "name": "voice-optimization", "kind": "skill", "official": false, "desc": "当系统提示面向语音交互场景（语音助手、语音搜索、有声回答、电话客服 AI）时调用。适用于需要将文本输出优化为口语表达的系统提示设计。不适用于纯文本聊天界面，不适用于语音合成（TTS）技术选型，不适用于图像/视频多模态场景。", "repo": "https://github.com/kangarooking/system-prompt-skills/tree/HEAD/voice-optimization", "install": ["npx skills add kangarooking/system-prompt-skills --skill voice-optimization"], "stars": 224, "pushed": "2026-05-04T05:20:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Michael-Jiahao-Zhang/game-the-llm-reviewer/skills/game-the-llm-reviewer", "name": "game-the-llm-reviewer", "kind": "skill", "official": false, "desc": "Apply meaning-preserving edits targeting LLM reviewer preferences to a finished academic manuscript. Use after ordinary polishing, not for drafting papers or generating reviews.", "repo": "https://github.com/Michael-Jiahao-Zhang/game-the-llm-reviewer/tree/HEAD/skills/game-the-llm-reviewer", "install": ["npx skills add Michael-Jiahao-Zhang/game-the-llm-reviewer --skill game-the-llm-reviewer"], "stars": 219, "pushed": "2026-10-14T20:51:43Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OutThisLife/brooklyn-skills/skills/no-tropes", "name": "no-tropes", "kind": "skill", "official": false, "desc": "Detect and eliminate common AI writing tropes from generated text. Use when writing or revising prose, documentation, READMEs, commit messages, PR descriptions, blog posts, comments, or any non-code text output. Automatically applied as a self-revision pass (tropes.fyi).", "repo": "https://github.com/OutThisLife/brooklyn-skills/tree/HEAD/skills/no-tropes", "install": ["npx skills add OutThisLife/brooklyn-skills --skill no-tropes"], "stars": 215, "pushed": "2026-11-11T05:43:45Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:miuuyy/Clew", "name": "Clew", "kind": "mcp", "official": null, "desc": "AI learning harness with interactive maps of topics and prerequisites. Available as a ChatGPT plugin and an open-source desktop app.", "repo": "https://github.com/miuuyy/Clew", "install": [], "stars": 213, "pushed": null, "license": null, "plat": "openai", "live": "Not checked (runs locally)"}, {"id": "skill:23jmo/jmo-skills/skills/ste", "name": "ste", "kind": "skill", "official": false, "desc": "Explain technical ideas in clear, precise language. Use when an explanation is confusing, jargon-heavy, vague, or hard to follow, or when the user asks for Standard Technical English.", "repo": "https://github.com/23jmo/jmo-skills/tree/HEAD/skills/ste", "install": ["npx skills add 23jmo/jmo-skills --skill ste"], "stars": 209, "pushed": "2026-10-10T20:02:26Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:mblode/agent-skills/skills/product-design", "name": "product-design", "kind": "skill", "official": false, "desc": "Specifies interaction choices, action scope, reversibility, recovery, and reachable states. Use when asked to \"design the flow\", \"should delete be undoable\", \"choose the control\", or \"review this product decision\".", "repo": "https://github.com/mblode/agent-skills/tree/HEAD/skills/product-design", "install": ["npx skills add mblode/agent-skills --skill product-design"], "stars": 201, "pushed": "2026-11-10T23:39:08Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:20240610ldx-hub/mao-chiang-wisdom-skills/debates/mao-vs-chiang/inputs/2026-05-17/skill-a-chiang-kai-shek", "name": "chiang-kai-shek-wisdom", "kind": "skill", "official": false, "desc": "Apply Chiang Kai-shek's governance and strategic endurance frameworks to analyze problems and make decisions. Invoke when facing asymmetric competition, adversity under resource constraints, diplomatic realism, internal organizational reform, or self-discipline challenges. Keywords: Chiang Kai-shek, strategic patience, self-reliance, endurance, underdog strategy, weak-side diplomacy, retreat-reflect-rebuild, organizational reform, self-cultivation. 运用蒋介石的治理与战略韧性思维框架分析问题与辅助决策。当用户面对弱势方博弈、逆境中的资源约束、", "repo": "https://github.com/20240610ldx-hub/mao-chiang-wisdom-skills/tree/HEAD/debates/mao-vs-chiang/inputs/2026-05-17/skill-a-chiang-kai-shek", "install": ["npx skills add 20240610ldx-hub/mao-chiang-wisdom-skills --skill chiang-kai-shek-wisdom"], "stars": 195, "pushed": "2026-08-24T07:53:25Z", "license": "MIT", "plat": "chiang kai-shek", "live": "Not checked (runs locally)"}, {"id": "skill:20240610ldx-hub/mao-chiang-wisdom-skills/skills/chiang-kai-shek-wisdom", "name": "chiang-kai-shek-wisdom", "kind": "skill", "official": false, "desc": "Apply Chiang Kai-shek's governance and strategic endurance frameworks for asymmetric competition and organizational reform. Triggers: Chiang Kai-shek, strategic patience, endurance, retreat-reflect-rebuild, self-cultivation. 运用蒋介石的治理与战略韧性框架应对弱势方博弈与组织改革。触发：蒋介石、忍耐待机、退省建攻、修身。", "repo": "https://github.com/20240610ldx-hub/mao-chiang-wisdom-skills/tree/HEAD/skills/chiang-kai-shek-wisdom", "install": ["npx skills add 20240610ldx-hub/mao-chiang-wisdom-skills --skill chiang-kai-shek-wisdom"], "stars": 195, "pushed": "2026-08-24T07:53:25Z", "license": "MIT", "plat": "chiang kai-shek", "live": "Not checked (runs locally)"}, {"id": "skill:wdobry/laya-playground/skills/laya-integration", "name": "laya-integration", "kind": "skill", "official": false, "desc": "Add fast, local, typed decisions to any project with Laya, an open-source non-generative decision model (pip install laya). It classifies, routes, scores and answers yes/no questions about a piece of text, returning calibrated probabilities in roughly 20-35 ms on a laptop GPU, with no LLM call and no data leaving the machine. Use this skill whenever the user wants to classify or route text, triage tickets or emails, detect spam, phishing, toxicity or intent, put a guardrail in front of an agent ", "repo": "https://github.com/wdobry/laya-playground/tree/HEAD/skills/laya-integration", "install": ["npx skills add wdobry/laya-playground --skill laya-integration"], "stars": 195, "pushed": "2026-09-20T20:59:37Z", "license": "MIT", "plat": "laya", "live": "Not checked (runs locally)"}, {"id": "skill:20240610ldx-hub/mao-chiang-wisdom-skills/debates/mao-vs-chiang/inputs/2026-05-17/skill-b-mao-zedong", "name": "mao-zedong-wisdom", "kind": "skill", "official": false, "desc": "Apply Mao Zedong's strategic frameworks for underdog strategy, high-uncertainty decisions, and complex problem analysis. Invoke when facing: asymmetric competition, resource constraints, multi-factor problems requiring prioritization, investigation methodology, iterative learning, organizational feedback loops, or protracted engagement planning. Triggers: Mao, contradiction analysis, principal contradiction, investigation, mass line, protracted war, concentrate forces, guerrilla strategy, practi", "repo": "https://github.com/20240610ldx-hub/mao-chiang-wisdom-skills/tree/HEAD/debates/mao-vs-chiang/inputs/2026-05-17/skill-b-mao-zedong", "install": ["npx skills add 20240610ldx-hub/mao-chiang-wisdom-skills --skill mao-zedong-wisdom"], "stars": 195, "pushed": "2026-08-24T07:53:25Z", "license": "MIT", "plat": "mao zedong", "live": "Not checked (runs locally)"}, {"id": "skill:20240610ldx-hub/mao-chiang-wisdom-skills/skills/mao-zedong-wisdom", "name": "mao-zedong-wisdom", "kind": "skill", "official": false, "desc": "以毛泽东第一人称对话，运用其战略方法论应对以弱胜强、复杂局面拆解与长期对抗：矛盾分析、调查研究、持久战三阶段、集中优势兵力、农村包围城市、运动战、群众路线、统一战线与独立自主、不打无准备之仗。触发：毛泽东、矛盾分析、主要矛盾、调查研究、持久战、集中兵力、根据地、群众路线、以弱胜强、纸老虎。", "repo": "https://github.com/20240610ldx-hub/mao-chiang-wisdom-skills/tree/HEAD/skills/mao-zedong-wisdom", "install": ["npx skills add 20240610ldx-hub/mao-chiang-wisdom-skills --skill mao-zedong-wisdom"], "stars": 195, "pushed": "2026-08-24T07:53:25Z", "license": "MIT", "plat": "mao zedong", "live": "Not checked (runs locally)"}, {"id": "skill:treylom/prompt-engineering-skills/skills/expert-domain-priming", "name": "expert-domain-priming", "kind": "skill", "official": false, "desc": "Use when a prompt needs an expert role assignment — 실존 전문가 지명과 전문 용어로 AI의 잠재 공간을 활성화하는 전문가 도메인 프라이밍 방법론 레퍼런스(/prompt 전문가 프롬프팅 대원칙의 근거 자료)의 라우팅 인덱스. 본문 = references/full.md.", "repo": "https://github.com/treylom/prompt-engineering-skills/tree/HEAD/skills/expert-domain-priming", "install": ["npx skills add treylom/prompt-engineering-skills --skill expert-domain-priming"], "stars": 194, "pushed": "2026-11-10T23:53:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:treylom/prompt-engineering-skills/skills/gemini-3.1-prompt-strategies", "name": "gemini-3-1-prompt-strategies", "kind": "skill", "official": false, "desc": "Use when composing or optimizing prompts targeting Google Gemini models (Gemini 3 Pro/Flash, 3.1) — Google 공식 문서 + 실전 팁 기반 Gemini 프롬프트 전략 레퍼런스의 라우팅 인덱스. 본문 = references/full.md.", "repo": "https://github.com/treylom/prompt-engineering-skills/tree/HEAD/skills/gemini-3.1-prompt-strategies", "install": ["npx skills add treylom/prompt-engineering-skills --skill gemini-3-1-prompt-strategies"], "stars": 194, "pushed": "2026-11-10T23:53:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:treylom/prompt-engineering-skills/skills/gpt-5.6-prompt-enhancement", "name": "gpt-5-6-prompt-enhancement", "kind": "skill", "official": false, "desc": "Use when composing prompts targeting GPT-6 Sol (GPT 디폴트), GPT-6 Astra, GPT-6 Luna, GPT-5.6 Sol (직전 디폴트), legacy GPT-5.5/5.4/5.2 — lean outcome-first 7블록 규칙 + LEGACY 섹션(구 XML 스택)을 담은 GPT 프롬프트 전략 레퍼런스의 라우팅 인덱스. 본문 = references/full.md.", "repo": "https://github.com/treylom/prompt-engineering-skills/tree/HEAD/skills/gpt-5.6-prompt-enhancement", "install": ["npx skills add treylom/prompt-engineering-skills --skill gpt-5-6-prompt-enhancement"], "stars": 194, "pushed": "2026-11-10T23:53:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jasonswett/llm-skills/performance-optimize", "name": "performance-optimize", "kind": "skill", "official": false, "desc": "Improve performance", "repo": "https://github.com/jasonswett/llm-skills/tree/HEAD/performance-optimize", "install": ["npx skills add jasonswett/llm-skills --skill performance-optimize"], "stars": 194, "pushed": "2026-10-20T13:36:40Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:treylom/prompt-engineering-skills/skills/prompt", "name": "prompt", "kind": "skill", "official": false, "desc": "Use when the user asks to create, refine, or optimize a prompt ('프롬프트 만들어/생성해/다듬어') — AI 프롬프트 생성기. 사용자의 아이디어를 모델별(Claude/GPT/Gemini/이미지) 최적화 프롬프트로 변환. Codex 포트 — Claude Code의 /prompt 명령과 동일 절차.", "repo": "https://github.com/treylom/prompt-engineering-skills/tree/HEAD/skills/prompt", "install": ["npx skills add treylom/prompt-engineering-skills --skill prompt"], "stars": 194, "pushed": "2026-11-10T23:53:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:treylom/prompt-engineering-skills/skills/prompt-engineering-guide", "name": "prompt-engineering-guide", "kind": "skill", "official": false, "desc": "Use when generating research/factcheck/image/video/slide prompts that need base templates (IFCN·StructuredResearch 등) — 단일 통합 AI 프롬프트 엔지니어링 레퍼런스의 라우팅 인덱스. 본문 전체는 references/full.md(대형 파일 — grep으로 위치 확인 후 부분 Read).", "repo": "https://github.com/treylom/prompt-engineering-skills/tree/HEAD/skills/prompt-engineering-guide", "install": ["npx skills add treylom/prompt-engineering-skills --skill prompt-engineering-guide"], "stars": 194, "pushed": "2026-11-10T23:53:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:treylom/prompt-engineering-skills/skills/prompt-variation-guide", "name": "prompt-variation-guide", "kind": "skill", "official": false, "desc": "Use when needing AI 프롬프트 변주 가이드. 다양한 프롬프팅 테크닉과 변형 전략 레퍼런스.", "repo": "https://github.com/treylom/prompt-engineering-skills/tree/HEAD/skills/prompt-variation-guide", "install": ["npx skills add treylom/prompt-engineering-skills --skill prompt-variation-guide"], "stars": 194, "pushed": "2026-11-10T23:53:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:treylom/prompt-engineering-skills/skills/research-prompt-guide", "name": "research-prompt-guide", "kind": "skill", "official": false, "desc": "Use when composing factcheck or research prompts — IFCN 원칙 기반 검증 워크플로우와 일반 리서치 템플릿을 담은 레퍼런스의 라우팅 인덱스. 본문 = references/full.md.", "repo": "https://github.com/treylom/prompt-engineering-skills/tree/HEAD/skills/research-prompt-guide", "install": ["npx skills add treylom/prompt-engineering-skills --skill research-prompt-guide"], "stars": 194, "pushed": "2026-11-10T23:53:40Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jasonswett/llm-skills/smart-decisions", "name": "smart-decisions", "kind": "skill", "official": false, "desc": "Make smart decisions", "repo": "https://github.com/jasonswett/llm-skills/tree/HEAD/smart-decisions", "install": ["npx skills add jasonswett/llm-skills --skill smart-decisions"], "stars": 194, "pushed": "2026-10-20T13:36:40Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mahmoudrabie/agentic-ai", "name": "agentic-ai", "kind": "mcp", "official": null, "desc": "Agentic AI research papers, benchmarks, frameworks, and tools curated across 24 domains.", "repo": "https://github.com/mahmoudrabie/agentic-ai", "install": [], "stars": 193, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.minipuft/claude-prompts-mcp", "name": "io.github.minipuft/claude-prompts-mcp", "kind": "mcp", "official": null, "desc": "Reusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.", "repo": "https://github.com/minipuft/claude-prompts-mcp", "install": ["npm:claude-prompts"], "stars": 192, "pushed": "2026-11-13T04:15:59Z", "license": "MIT", "plat": "claude-prompts-mcp", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:EthanHenrickson/math-mcp", "name": "math-mcp", "kind": "mcp", "official": null, "desc": "A Model Context Protocol (MCP) server that provides basic mathematical and statistical functions to Large Language Models (LLMs). This server enables LLMs to perform accurate numerical calculations through a simple API.", "repo": "https://github.com/EthanHenrickson/math-mcp", "install": [], "stars": 191, "pushed": null, "license": null, "plat": "math", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:szeider/mcp-solver", "name": "mcp-solver", "kind": "mcp", "official": null, "desc": "Model Context Protocol (MCP) server for constraint optimization and solving\"", "repo": "https://github.com/szeider/mcp-solver", "install": [], "stars": 188, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:bonigarcia/context-engineering", "name": "context-engineering", "kind": "mcp", "official": null, "desc": "Context Engineering: Build Consistent, Accurate, Predictable AI Systems", "repo": "https://github.com/bonigarcia/context-engineering", "install": [], "stars": 186, "pushed": "2026-11-13T06:17:19Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:TabooHarmony/roblox-brain/skills/gameplay/roblox-npc-ai", "name": "roblox-npc-ai", "kind": "skill", "official": false, "desc": "Use when creating or fixing Roblox NPCs, bots or enemies: pathfinding, state machines, line of sight, spawns, AI update loops.", "repo": "https://github.com/TabooHarmony/roblox-brain/tree/HEAD/skills/gameplay/roblox-npc-ai", "install": ["npx skills add TabooHarmony/roblox-brain --skill roblox-npc-ai"], "stars": 186, "pushed": "2026-10-15T04:23:10Z", "license": "MIT", "plat": "roblox", "live": "Not checked (runs locally)"}, {"id": "skill:okooo5km/Skills4U/skills/post-optimizer", "name": "post-optimizer", "kind": "skill", "official": false, "desc": "将平实、准确的内容改写成有网感、能引发互动的社交媒体文案。适用于 Twitter/X、小红书、即刻等平台的短文案优化。当用户希望优化推文、笔记、短帖子，或者想让功能描述/产品更新变得更抓人眼球时，使用此 skill。也适用于用户给出一个主题、一段草稿、或一组功能点，希望生成一条有活人感的推文。不适用于长文章、博客、正式文档。", "repo": "https://github.com/okooo5km/Skills4U/tree/HEAD/skills/post-optimizer", "install": ["npx skills add okooo5km/Skills4U --skill post-optimizer"], "stars": 185, "pushed": "2026-11-13T14:41:20Z", "license": "MIT", "plat": "social media platforms", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ybeven/4D-ARE", "name": "4D-ARE", "kind": "mcp", "official": null, "desc": "Build LLM agents that explain why, not just what. Attribution-driven agent requirements engineering framework. Based on the 4D-ARE Paper - https://arxiv.org/abs/2601.04556", "repo": "https://github.com/ybeven/4D-ARE", "install": [], "stars": 182, "pushed": null, "license": null, "plat": "4d-are", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/alpha-evolve", "name": "alpha-evolve", "kind": "skill", "official": false, "desc": "Use when the user wants to evolve an ML model/program through population-based search rather than a single sequential refine loop — a generational evolution where parallel proposers each apply one small SEARCH/REPLACE diff to a parent, scored by a cascade-evaluated training run, and children are kept in a MAP-Elites archive across islands (with migration + checkpointing) so diverse high performers survive. A finite, bounded-parallelism re-creation of AlphaEvolve/OpenEvolve, bent for ML autoresea", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/alpha-evolve", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill alpha-evolve"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "ml model evolution", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/anomaly-investigation", "name": "anomaly-investigation", "kind": "skill", "official": false, "desc": "Use when the user has a known, already-observed anomaly in their data — a metric spike or drop, an outlier, an unexpected number — and wants its root cause diagnosed, not guessed. Forms a slate of candidate causes, tests each against the data, and eliminates the ones the data refutes, narrowing the live candidates until exactly one survives refutation and passes a positive confirming test. The result is an investigation log with the confirmed root cause and the evidence that ruled out the altern", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/anomaly-investigation", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill anomaly-investigation"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "anomaly investigation", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/blue-team", "name": "blue-team", "kind": "skill", "official": false, "desc": "Use when the user has concrete failing cases in code or a guardrail/classifier/filter/prompt/API they own — a red-team failure catalogue OR a CI/CD test-failure report (failing pytest/JUnit tests) — and wants the target patched until those failures are closed without breaking what already works. It points straight at the failed cases (normalize any source with tools/ingest.py), fixes one root-cause class per iteration, and re-checks with tools/verify.py — oracle mode against a red-team oracle, o", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/blue-team", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill blue-team"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "code failure analysis", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/claim-verify", "name": "claim-verify", "kind": "skill", "official": false, "desc": "Use when the user has a results draft or a set of data-backed claims and wants each one adversarially verified against the underlying dataset before publishing — a pre-publication red-team of the findings. Extracts the discrete checkable claims from the draft, reproduces each claim's number against the data, stress-tests it against the threats most likely to kill it (outliers, confounds, Simpson's reversals, tiny subgroups, alternative specifications), and marks it verified, fragile, or refuted;", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/claim-verify", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill claim-verify"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "claim verification", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/data-analysis", "name": "data-analysis", "kind": "skill", "official": false, "desc": "Use when the user wants an iterative, self-checking exploratory analysis of a dataset — surfacing findings that are each verified by re-running the computation, not asserted. Proposes one specific hypothesis at a time, writes and runs analysis code to test it, and records the finding only if the numbers support it at a meaningful effect size; loops until no new verified finding appears or the budget is hit. The result is a findings report where every claim is backed by a reproducible number. Not", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/data-analysis", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill data-analysis"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "data analysis", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/dueling-autoresearch", "name": "dueling-autoresearch", "kind": "skill", "official": false, "desc": "Use when the user wants two approaches raced head-to-head on a single shared metric — e.g. a classical/algorithmic lane vs an ML/learned lane, or any two strategies for the same task. Each lane runs its own analysis-first research loop confined to its lane, the lanes share a scoreboard and may borrow ideas across the boundary without abandoning their identity, and a shared eval keeps the head-to-head honest; loops until interrupted, reporting the current leader. Not for improving a single approa", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/dueling-autoresearch", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill dueling-autoresearch"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "dueling autoresearch", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/exploratory-autoresearch", "name": "exploratory-autoresearch", "kind": "skill", "official": false, "desc": "Use when the user wants an autonomous ML research loop that explores the space broadly rather than hill-climbing one approach. A temperature scheduler replaces the usual hypothesis step: it forces several wild, diverse swings (full rewrites, different architectures/regimes) early, then enters an adaptive phase that picks swing / merge / exploit per iteration — with a hard stagnation guard that bans further small-step exploits once they run too long, forcing a pivot back to a swing or merge. Trac", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/exploratory-autoresearch", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill exploratory-autoresearch"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "exploratory autoresearch", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/hypothesis-gen", "name": "hypothesis-gen", "kind": "skill", "official": false, "desc": "Use when the user wants to generate and literature-vet a pool of novel, testable research hypotheses for a question or domain. A multi-agent loop: a Generator proposes candidate hypotheses, a LiteratureScout grounds each in real retrieved literature (already known? closest prior work? what gap does it fill?), and a Judge scores them against a fixed rubric and keeps the strong, non-duplicate ones; rounds repeat — mutating toward the open gaps — until fresh rounds stop adding keepers. Not for shar", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/hypothesis-gen", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill hypothesis-gen"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "hypothesis generation", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/karpathy", "name": "karpathy", "kind": "skill", "official": false, "desc": "Use when the user wants the LLM to do its own ML research: a fully-autonomous loop that hacks the training code, runs it, and keeps changes that lower a single scalar metric (e.g. val_bpb). One agent proposes one change at a time, runs training in the user's env, keeps it only if the metric improves (advancing a git branch) else reverts, and loops forever until the human interrupts. A faithful adaptation of Karpathy's autoresearch. Not for the analysis-first variant that profiles before editing ", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/karpathy", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill karpathy"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "karpathy", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/literature-search", "name": "literature-search", "kind": "skill", "official": false, "desc": "Use when a loop needs scholarly literature — paper discovery, novelty checks, full-text snippet search, citation-graph traversal, single-paper reads, or experimental-result extraction. A shared, stdlib-only CLI (`tools/lit_search.py`) over Semantic Scholar + arXiv (plus optional OpenAlex, Perplexity Sonar, bgpt.pro), all JSON. Not a loop itself: install it alongside the loops and let any of them call it instead of vendoring their own copy. Degrades to the caller's WebSearch/WebFetch.", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/literature-search", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill literature-search"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "literature search", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/literature-survey", "name": "literature-survey", "kind": "skill", "official": false, "desc": "Use when the user wants a structured, saturating literature survey on a question — not a one-shot summary, but an evidence/contradiction matrix (sources × claims) built by iterative search until coverage stops growing. Each round expands the search (new sub-topic queries plus citation-graph walks), admits new sources, extracts their claims with verbatim snippets, and records where every source stands on each claim (supports / contradicts / qualifies); the feedback signal is how many new matrix-c", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/literature-survey", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill literature-survey"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "literature survey", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/ml-autoresearch", "name": "ml-autoresearch", "kind": "skill", "official": false, "desc": "Use when the user wants an autonomous ML research loop that does more than blindly try changes. After every training run the agent analyses what actually happened inside the model — gradients, activations, embeddings, errors, data — and grounds the next change in that evidence. A `<literature>` on/off dial adds scientific-literature grounding: off behaves as a pure analysis-first loop; on searches papers, grades the evidence, and implements only what prior work supports. One change per run; loop", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/ml-autoresearch", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill ml-autoresearch"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "ml autoresearch", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/optimize-loop", "name": "optimize-loop", "kind": "skill", "official": false, "desc": "Use when the user wants to iteratively improve an artifact under a hard correctness bound while minimizing a measured cost — refactoring a code module to cut complexity while its test suite stays green, OR speeding up a SQL query while it returns the same rows. Each iteration applies one focused change, checks a correctness gate that must pass, measures a metric that must drop, and keeps the change only if both hold, else reverts; loops to a plateau or budget. Not for adding features, fixing bug", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/optimize-loop", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill optimize-loop"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "optimize loop", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/plan-loop", "name": "plan-loop", "kind": "skill", "official": false, "desc": "Use when the user has a coding or engineering prompt and wants it refined into a detailed, executable plan before any code is written — the planning stage of a prompt → plan → execute → debug pipeline. It decomposes the prompt from first principles (objective, end state, environment, building blocks, tools, packages), breaks the work into PR-sized tasks each tied to a component with its files, tests, and dependencies, orders them topologically, splits each into atomic subtasks, then a separate p", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/plan-loop", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill plan-loop"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "plan loop", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/power-analysis", "name": "power-analysis", "kind": "skill", "official": false, "desc": "Use when the user is planning a two-arm comparison (an A/B test, a simple RCT, a behavioral study, or a two-model/two-config evaluation) and needs to size it and preregister it before collecting data — finding the per-group sample size that hits target statistical power for the smallest effect worth detecting, auditing the design against a validity checklist, and locking it in a preregistration. Only for a single two-arm comparison with one primary outcome. Not for factorial, repeated-measures, ", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/power-analysis", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill power-analysis"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "power analysis", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/prompt-optimize", "name": "prompt-optimize", "kind": "skill", "official": false, "desc": "Use when the user has a prompt that feeds a system they can already score, and wants that prompt automatically improved to raise the score against their own evaluation command. Makes one targeted quality edit per iteration — clarity, context, specificity, structure, examples, decomposition, guardrails — re-runs the user's eval to measure the metric, and keeps the edit only if the metric improves, else reverts; loops to a target, plateau, or budget. The metric is whatever the user's eval command ", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/prompt-optimize", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill prompt-optimize"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "prompt optimize", "live": "Not checked (runs locally)"}, {"id": "skill:moonlarry/codex-paper-skills/paper_skills/proof-checker", "name": "proof-checker", "kind": "skill", "official": false, "desc": "Rigorous mathematical proof verification and fixing workflow. Reads a LaTeX proof, identifies gaps via AGENTS.md paper architect/reviewer audit, fixes each gap with full derivations, re-reviews, and generates an audit report. Use when user says \"检查证明\", \"verify proof\", \"proof check\", \"审证明\", \"check this proof\", or wants rigorous mathematical verification of a theory paper.", "repo": "https://github.com/moonlarry/codex-paper-skills/tree/HEAD/paper_skills/proof-checker", "install": ["npx skills add moonlarry/codex-paper-skills --skill proof-checker"], "stars": 182, "pushed": "2026-08-01T06:50:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:moonlarry/codex-paper-skills/paper_skills/proof-formula-derivation", "name": "proof-formula-derivation", "kind": "skill", "official": false, "desc": "Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.", "repo": "https://github.com/moonlarry/codex-paper-skills/tree/HEAD/paper_skills/proof-formula-derivation", "install": ["npx skills add moonlarry/codex-paper-skills --skill proof-formula-derivation"], "stars": 182, "pushed": "2026-08-01T06:50:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/purple-team", "name": "purple-team", "kind": "skill", "official": false, "desc": "Use when the user wants to automatically harden a guardrail, classifier, content filter, prompt, or API they own by running attack and defense together as a closed loop, not just one or the other. It orchestrates the red-team and blue-team loops as independent agents: red finds distinct failure classes against the frozen target, blue patches the target to close them under a regression gate, then a fresh red pass re-verifies — confirming each class is closed and surfacing any new ones the fix int", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/purple-team", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill purple-team"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "purple team", "live": "Not checked (runs locally)"}, {"id": "skill:moonlarry/codex-paper-skills/paper_skills/rebuttal-pipeline", "name": "rebuttal-pipeline", "kind": "skill", "official": false, "desc": "Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds. Use when user says \\\"rebuttal\\\", \\\"reply to reviewers\\\", \\\"ICML rebuttal\\\", \\\"OpenReview response\\\", or wants to answer external reviews safely.", "repo": "https://github.com/moonlarry/codex-paper-skills/tree/HEAD/paper_skills/rebuttal-pipeline", "install": ["npx skills add moonlarry/codex-paper-skills --skill rebuttal-pipeline"], "stars": 182, "pushed": "2026-08-01T06:50:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:moonlarry/codex-paper-skills/paper_skills/rebuttal-review", "name": "rebuttal-review", "kind": "skill", "official": false, "desc": "Review and improve a formal academic rebuttal letter draft for peer review responses.", "repo": "https://github.com/moonlarry/codex-paper-skills/tree/HEAD/paper_skills/rebuttal-review", "install": ["npx skills add moonlarry/codex-paper-skills --skill rebuttal-review"], "stars": 182, "pushed": "2026-08-01T06:50:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:moonlarry/codex-paper-skills/paper_skills/rebuttal-writer", "name": "rebuttal-writer", "kind": "skill", "official": false, "desc": "Write a formal academic rebuttal letter from rebuttal strategy notes and reviewer comments.", "repo": "https://github.com/moonlarry/codex-paper-skills/tree/HEAD/paper_skills/rebuttal-writer", "install": ["npx skills add moonlarry/codex-paper-skills --skill rebuttal-writer"], "stars": 182, "pushed": "2026-08-01T06:50:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/red-team", "name": "red-team", "kind": "skill", "official": false, "desc": "Use when the user wants to adversarially stress-test a guardrail, classifier, prompt, or API they own or are authorized to test, to surface the distinct ways it fails. Generates adversarial inputs, runs them through the target and a ground-truth oracle, logs every target-vs-oracle disagreement as a failure de-duplicated by technique class, and loops until rounds stop surfacing new classes. Produces a catalogue of distinct, reproducible failures — the attacker half of a find→fix setup. Not for pa", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/red-team", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill red-team"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "red team", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/research-proposal", "name": "research-proposal", "kind": "skill", "official": false, "desc": "Use when the user has a research proposal (problem + proposed methodology + planned experiments) and wants it iteratively strengthened until it clears a passing grade. ScholarEval grades the proposal against the literature (Soundness + Contribution), a Judge scores that feedback 0-100 on a fixed rubric, and a Reviser rewrites the proposal to fix the worst points without diluting the research question; loops until the grade passes or the budget is hit. Not for generating a proposal from scratch, ", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/research-proposal", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill research-proposal"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "research proposal", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/research-question", "name": "research-question", "kind": "skill", "official": false, "desc": "Use when the user has a vague topic or area of interest and wants it sharpened into a few strong, novel, feasible research questions. Drafts candidate questions, scores each against a fixed rubric (Specific, Answerable, Novel, Feasible, Significant) with a light literature/web novelty check, and revises the weakest axis until enough questions clear the bar. Not for grading a full written proposal (use the research-proposal loop), and not for turning a question into testable predictions (use the ", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/research-question", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill research-question"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "research question", "live": "Not checked (runs locally)"}, {"id": "skill:gaasher/Agent-Loop-Skills/loops/scientific-figure", "name": "scientific-figure", "kind": "skill", "official": false, "desc": "Use when the user has scientific data (or a prompt alluding to scientific data) and wants a publication-quality figure made from it. A generator drafts and renders a figure that lands a frozen communication goal; an adversarial critic critiques it hard and grades it 1-5 per axis against a fixed rubric (message, aesthetic, clarity, integrity, and a conditional domain-completeness axis), aggregates to 0-100, and decides pass; the generator revises against the critic's findings until the grade clea", "repo": "https://github.com/gaasher/Agent-Loop-Skills/tree/HEAD/loops/scientific-figure", "install": ["npx skills add gaasher/Agent-Loop-Skills --skill scientific-figure"], "stars": 182, "pushed": "2026-06-30T04:03:49Z", "license": "MIT", "plat": "scientific figure", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/adversarial-case-builder", "name": "adversarial-case-builder", "kind": "skill", "official": false, "desc": "Synthesize the single strongest EVIDENCE-BOUND reviewer case to reject a paper, built ONLY from the evidence ledger (claims.json) + the other auditors' confirmed findings — never free-floating LLM critique. Two fresh cross-model codex threads: an attack writes the ~200-word rejection paragraph (every accusation tagged to an existing claim_id/finding_id), a defense decomposes it and rules each point against the anchored evidence. MEMO-ONLY: emits adversarial-case-builder.memo.md (fed to the adjud", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/adversarial-case-builder", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill adversarial-case-builder"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/ai-style-impressions", "name": "ai-style-impressions", "kind": "skill", "official": false, "desc": "Transparent, itemized impressions of AI-generated WRITING STYLE — the repo's ONLY non-integrity track. Two passes: a deterministic defensive-hedge density screen (tools/check_ai_style.py, AIS-DEFENSIVE-HEDGE) plus a fresh cross-model GROSS-cases-only semantic pass over the 13 AIS-* style tells (broken narrative arc, LLM phrase tics, jargon-stuffing, invented codenames, clause/formula walls, gratuitous pseudocode, bullet overuse, bold-module spam, restatement loops, focus drift, single-style figu", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/ai-style-impressions", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill ai-style-impressions"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/workflows/anti-autoresearch", "name": "anti-autoresearch", "kind": "skill", "official": false, "desc": "End-to-end substantive-integrity forensic sweep of a research paper (especially autoresearch / AI-Scientist-style output). Orchestrates the whole pipeline: ingest (arxiv-id | pdf | dir → working dir + pdftotext for L0) → /evidence-ledger (artifact manifest + observability level L0/L1/L2 + span-anchored claims.json) → fan out the integrity auditor skills (consistency, citation, baseline, experiment, presentation, proof-derivation, eval-design — each reads the ledger, emits span-anchored findings)", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/workflows/anti-autoresearch", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill anti-autoresearch"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/baseline-comparison-audit", "name": "baseline-comparison-audit", "kind": "skill", "official": false, "desc": "Audit whether a paper's baseline comparisons are COMPLETE, FAIR, and SIGNIFICANT: a required recent SOTA baseline is missing while 'best/SOTA' is claimed (HP-MISSING-BASELINE); a baseline is undertuned / given less compute-tuning-data, run at a mismatched config, or the equal-budget ablation-as-baseline is absent (HP-WEAK-BASELINE); 'outperforms' is asserted over overlapping error bars or with no variance/seeds (HP-SIG-OVERLAP); and a cross-row 'improves over baseline by X%' is arithmetically wr", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/baseline-comparison-audit", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill baseline-comparison-audit"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/citation-forensics", "name": "citation-forensics", "kind": "skill", "official": false, "desc": "Citation-integrity forensics: is every reference real, correctly attributed, and used in a context the cited work actually supports? Catches hallucinated references (no paper at the claimed arXiv id/DOI/venue, fabricated authors/year), metadata drift (wrong year/venue/version), and wrong-context citations (a real paper cited for a claim it never makes — or argues against). A hot zone for machine-generated papers. Decidable at L0 (text + canonical sources). Span-anchored to the evidence ledger (c", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/citation-forensics", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill citation-forensics"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/consistency-audit", "name": "consistency-audit", "kind": "skill", "official": false, "desc": "Flagship intra-paper self-consistency forensics: does the paper contradict ITSELF across abstract/intro/tables/body/appendix, and does the method DESCRIBED match the method EVALUATED? Needs no external ground truth — works PDF-only (L0). Runs a deterministic arithmetic pass + a fresh cross-model semantic pass, every finding span-anchored to the evidence ledger (claims.json), reviewer≠adjudicator. Emits consistency-audit.findings.json; NEVER computes the verdict. Triggers: \\\"consistency audit\\\", ", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/consistency-audit", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill consistency-audit"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/eval-design-forensics", "name": "eval-design-forensics", "kind": "skill", "official": false, "desc": "Audit whether a paper's EVALUATION DESIGN actually measures what it claims and whether its reporting is complete — the validity layer family D (experiment-forensics) cannot reach. Three patterns: train/test leakage means the reported score may not measure generalization (HP-EVAL-LEAKAGE — adopts the Kapoor & Narayanan 8-type / 3-category leakage taxonomy; the illegitimate-proxy / sampling-bias / pretraining-contamination subtypes hand off as needs_external_check, naming but NEVER running Oren-20", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/eval-design-forensics", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill eval-design-forensics"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/evidence-ledger", "name": "evidence-ledger", "kind": "skill", "official": false, "desc": "Build the deterministic evidence ledger (artifact_manifest.json + claims.json) that every other Anti-Autoresearch auditor reads. One pass inventories artifacts, derives the observability level (L0 PDF-only / L1 +LaTeX / L2 +repo+results) by fixed rule, and extracts span-anchored, hashed, checkable claims (numbers, comparisons, scope, method, baselines, citations, captions, table cells) into claims.json. An OPTIONAL additive cross-model pass ADDS span-anchored semantic claims — method, theorem st", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/evidence-ledger", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill evidence-ledger"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/experiment-forensics", "name": "experiment-forensics", "kind": "skill", "official": false, "desc": "Audit experiment integrity against the evidence ledger. At L2 (repo + result files present) a fresh cross-model reviewer reads the eval code line-by-line for fake/derived ground truth, score self-normalization, phantom results (a paper number with no backing file/key), dead/uncalled metric code, verified-scope inflation, method-described ≠ method-evaluated drift, synthesized-looking results, placeholder/fake data still wired into a released result, code-output ≠ reported-number mismatch, and mis", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/experiment-forensics", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill experiment-forensics"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:CodeAlive-AI/ai-driven-development/skills/fpf-problem-solving", "name": "fpf-problem-solving", "kind": "skill", "official": false, "desc": "Use the First Principles Framework (FPF) Library, Core plus 36 domain frameworks (DPFs) stored locally, to think more rigorously than the situation's default: decompose problems, architect systems, generate real alternatives, decide under uncertainty, reconsider decisions, establish causality, design control loops, recover and improve methods, steer, hand off or resume agent work, check sources and evidence, explain, rewrite text plainly, define quality, and apply field methods for strategy, goa", "repo": "https://github.com/CodeAlive-AI/ai-driven-development/tree/HEAD/skills/fpf-problem-solving", "install": ["npx skills add CodeAlive-AI/ai-driven-development --skill fpf-problem-solving"], "stars": 181, "pushed": "2026-11-13T14:48:54Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/novelty-duplication-advisory", "name": "novelty-duplication-advisory", "kind": "skill", "official": false, "desc": "MEMO-ONLY prior-work overlap advisory: surfaces the two ADVISORY taxonomy signals neither a tool nor a model can decide from the paper alone — ADV-TRIVIAL-COMBINATION (standard A+B+C / 缝合 stapling) and ADV-DUPLICATE-PUBLICATION (repackaged / duplicate submission). The executor RETRIEVES candidate prior work (DBLP fuzzy-title + boolean · WebSearch · WebFetch) from the paper's own title + contribution spans in the evidence ledger; TWO fresh cross-model codex reviewers (one per axis) LAY OUT the ov", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/novelty-duplication-advisory", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill novelty-duplication-advisory"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/presentation-signals", "name": "presentation-signals", "kind": "skill", "official": false, "desc": "Checkable-ish surface presentation signals a reviewer notices first — duplicate/near-identical tables, leftover pipeline/template strings, too-few or LLM-looking figures, and page-padding. AUXILIARY ONLY and weak by design: a deterministic pass (tools/check_presentation.py — dup-table + pipeline-artifact) plus a fresh cross-model GROSS-cases-only semantic pass (thin-float, LLM-figure, page-padding), every above-info finding span-anchored to the evidence ledger (claims.json). The adjudicator CAPS", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/presentation-signals", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill presentation-signals"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Anti-Autoresearch/skills/proof-derivation-forensics", "name": "proof-derivation-forensics", "kind": "skill", "official": false, "desc": "Family-G proof & derivation integrity forensics: does a THIRD PARTY's written proof/derivation actually establish its theorem, or does it skip an obligation, assume its own conclusion, take an invalid step, drift a symbol's meaning, or smuggle an unstated assumption? Decides from the WRITTEN proof/derivation — verdict-bearing at L1 (the LaTeX source; PDF-extracted math is unreliable, so an L0 PDF-only run surfaces info only) — never asserts 'fabricated', only that the step shown does not hold. A", "repo": "https://github.com/wanshuiyin/Anti-Autoresearch/tree/HEAD/skills/proof-derivation-forensics", "install": ["npx skills add wanshuiyin/Anti-Autoresearch --skill proof-derivation-forensics"], "stars": 181, "pushed": "2026-11-06T04:06:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wycocoyu/Resume-Agent/skills/resume-agent", "name": "resume-agent", "kind": "skill", "official": false, "desc": "Create, edit, validate, and render Resume-Agent JSON resumes into local XeLaTeX PDFs, or sync resumes with the Resume-Agent Web workspace via the resume-agent CLI. Use when the user asks to draft a new resume, tailor or update a ResumeData JSON file, export a resume PDF locally, or pull and push resumes to Resume-Agent.", "repo": "https://github.com/wycocoyu/Resume-Agent/tree/HEAD/skills/resume-agent", "install": ["npx skills add wycocoyu/Resume-Agent --skill resume-agent"], "stars": 181, "pushed": "2026-11-14T05:28:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wycocoyu/Resume-Agent/backend/agent/skills/resume-diagnosis", "name": "resume-diagnosis", "kind": "skill", "official": false, "desc": "对已加载简历做一次有证据、只读的全面诊断。", "repo": "https://github.com/wycocoyu/Resume-Agent/tree/HEAD/backend/agent/skills/resume-diagnosis", "install": ["npx skills add wycocoyu/Resume-Agent --skill resume-diagnosis"], "stars": 181, "pushed": "2026-11-14T05:28:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wycocoyu/Resume-Agent/backend/agent/skills/resume-suggest", "name": "resume-suggest", "kind": "skill", "official": false, "desc": "把同一次简历评估转为字段级、只读的修改建议。", "repo": "https://github.com/wycocoyu/Resume-Agent/tree/HEAD/backend/agent/skills/resume-suggest", "install": ["npx skills add wycocoyu/Resume-Agent --skill resume-suggest"], "stars": 181, "pushed": "2026-11-14T05:28:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dylanfeltus/skills/recursive-improvement", "name": "recursive-improvement", "kind": "skill", "official": false, "desc": "A pattern for generating higher-quality output by iterating against explicit scoring criteria. Use for headlines, CTAs, landing page copy, social content, ad copy — anything where quality matters. Generate → Evaluate → Diagnose → Improve → Repeat.", "repo": "https://github.com/dylanfeltus/skills/tree/HEAD/recursive-improvement", "install": ["npx skills add dylanfeltus/skills --skill recursive-improvement"], "stars": 180, "pushed": "2026-09-17T21:00:10Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:bholmesdev/skills/skills/taste-review", "name": "taste-review", "kind": "skill", "official": false, "desc": "Ask Claude Code to make a taste-driven call on something ambiguous — UI polish, prose phrasing, naming, formatting. Use when you'd otherwise guess.", "repo": "https://github.com/bholmesdev/skills/tree/HEAD/skills/taste-review", "install": ["npx skills add bholmesdev/skills --skill taste-review"], "stars": 180, "pushed": "2026-10-18T22:13:07Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Hmbown/Hegelion", "name": "Hegelion", "kind": "mcp", "official": null, "desc": "Dialectical reasoning architecture for LLMs (Thesis → Antithesis → Synthesis)", "repo": "https://github.com/Hmbown/Hegelion", "install": [], "stars": 176, "pushed": null, "license": null, "plat": "hegelion", "live": "Not checked (runs locally)"}, {"id": "skill:makoMakoGo/fish-claude/skills/gemini-deep-reasoning", "name": "gemini-deep-reasoning", "kind": "skill", "official": false, "desc": "Deep reasoning mode with structured planning, risk assessment, abductive reasoning, and persistent problem-solving. Activate when the user requests deeper thinking, complex analysis, multi-step reasoning, or when the task requires methodical problem decomposition.", "repo": "https://github.com/makoMakoGo/fish-claude/tree/HEAD/skills/gemini-deep-reasoning", "install": ["npx skills add makoMakoGo/fish-claude --skill gemini-deep-reasoning"], "stars": 173, "pushed": "2026-07-17T15:50:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-analyze", "name": "speckit-analyze", "kind": "skill", "official": false, "desc": "Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-analyze", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-analyze"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/skills/speckit-baseline", "name": "speckit-baseline", "kind": "skill", "official": false, "desc": "Generate feature specifications by analyzing existing source code.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/skills/speckit-baseline", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-baseline"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-checklist", "name": "speckit-checklist", "kind": "skill", "official": false, "desc": "Generate a custom checklist for the current feature based on user requirements.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-checklist", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-checklist"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-clarify", "name": "speckit-clarify", "kind": "skill", "official": false, "desc": "Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-clarify", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-clarify"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-constitution", "name": "speckit-constitution", "kind": "skill", "official": false, "desc": "Create or update the project constitution from interactive or provided principle inputs.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-constitution", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-constitution"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-converge", "name": "speckit-converge", "kind": "skill", "official": false, "desc": "Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-converge", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-converge"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-implement", "name": "speckit-implement", "kind": "skill", "official": false, "desc": "Execute the implementation plan by processing and executing all tasks defined in tasks.md", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-implement", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-implement"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-plan", "name": "speckit-plan", "kind": "skill", "official": false, "desc": "Execute the implementation planning workflow using the plan template to generate design artifacts.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-plan", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-plan"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-specify", "name": "speckit-specify", "kind": "skill", "official": false, "desc": "Create or update the feature specification from a natural language feature description.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-specify", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-specify"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-tasks", "name": "speckit-tasks", "kind": "skill", "official": false, "desc": "Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-tasks", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-tasks"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dceoy/speckit-agent-skills/.cursor/skills/speckit-taskstoissues", "name": "speckit-taskstoissues", "kind": "skill", "official": false, "desc": "Deprecated: Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.", "repo": "https://github.com/dceoy/speckit-agent-skills/tree/HEAD/.cursor/skills/speckit-taskstoissues", "install": ["npx skills add dceoy/speckit-agent-skills --skill speckit-taskstoissues"], "stars": 172, "pushed": "2026-11-12T18:18:25Z", "license": "AGPL-3.0", "plat": "github", "live": "Not checked (runs locally)"}, {"id": "skill:serenakeyitan/open-exam-skills/skills/citation-check", "name": "citation-check", "kind": "skill", "official": false, "desc": "Verify citations, claims, and numbers before answering.", "repo": "https://github.com/serenakeyitan/open-exam-skills/tree/HEAD/skills/citation-check", "install": ["npx skills add serenakeyitan/open-exam-skills --skill citation-check"], "stars": 171, "pushed": "2026-02-02T07:23:17Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:serenakeyitan/open-exam-skills/skills/packs/trust-track", "name": "trust-track-pack", "kind": "skill", "official": false, "desc": "Run citation-check before delivering factual outputs.", "repo": "https://github.com/serenakeyitan/open-exam-skills/tree/HEAD/skills/packs/trust-track", "install": ["npx skills add serenakeyitan/open-exam-skills --skill trust-track-pack"], "stars": 171, "pushed": "2026-02-02T07:23:17Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:veniceai/skills/skills/venice-decisions", "name": "venice-decisions", "kind": "skill", "official": false, "desc": "Call Venice's Beta POST /decisions (and its TypeSafe-compatible alias POST /systemone) to get typed judgments instead of generated text. Covers the Jev \"System One\" decision model (jev-latest, aliases jev-1-13-0 / typesafe-jev), the state + questions request shape, the three question/answer types (noul yes/no probability, choice with probability distribution + confidence, score on an ordered rubric), token limits (maxStateTokens / maxTotalTokens), input-token pricing, rate limits, and how upstre", "repo": "https://github.com/veniceai/skills/tree/HEAD/skills/venice-decisions", "install": ["npx skills add veniceai/skills --skill venice-decisions"], "stars": 170, "pushed": "2026-11-10T23:48:57Z", "license": "MIT", "plat": "venice", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:0xshellming/mcp-summarizer", "name": "mcp-summarizer", "kind": "mcp", "official": null, "desc": "MCP Server for AI Summarization", "repo": "https://github.com/0xshellming/mcp-summarizer", "install": [], "stars": 167, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:langchain-ai/langsmith-skills/config/skills/langsmith-experiment-diagnosis", "name": "langsmith-experiment-diagnosis", "kind": "skill", "official": false, "desc": "Investigate a LangSmith experiment with the LangSmith CLI, identify examples with poor evaluator results, explain likely causes using run evidence, and propose targeted fixes. Use when a user asks why an experiment performed badly or which evaluated examples need attention.", "repo": "https://github.com/langchain-ai/langsmith-skills/tree/HEAD/config/skills/langsmith-experiment-diagnosis", "install": ["npx skills add langchain-ai/langsmith-skills --skill langsmith-experiment-diagnosis"], "stars": 166, "pushed": "2026-11-14T01:59:09Z", "license": "MIT", "plat": "langsmith", "live": "Not checked (runs locally)"}, {"id": "skill:DogInfantry/claude-skill-management-consultant-B1/skill", "name": "management-consultant", "kind": "skill", "official": false, "desc": "MBB-level management consultant with mastery over structured thinking, frameworks, guesstimation, industry analysis, and executive-grade deliverables. Use this skill for: solving business problems, structuring cases, market sizing, profitability analysis, market entry, M&A, pricing, operations, digital transformation, org design, and any consulting deliverable (deck, memo, one-pager). Trigger on: \"consulting framework\", \"MECE\", \"issue tree\", \"hypothesis-driven\", \"80/20\", \"McKinsey\", \"Bain\", \"BCG", "repo": "https://github.com/DogInfantry/claude-skill-management-consultant-B1/tree/HEAD/skill", "install": ["npx skills add DogInfantry/claude-skill-management-consultant-B1 --skill management-consultant"], "stars": 166, "pushed": "2026-09-21T08:37:13Z", "license": "NOASSERTION", "plat": "management consulting", "live": "Not checked (runs locally)"}, {"id": "skill:Alisa0808/vibe-creating-skill/skills/vibe-creating-prompt", "name": "vibe-creating-prompt", "kind": "skill", "official": false, "desc": "Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover, music, sound effects, and other hard constraints. Use when a user wants to turn an idea, story, feeling, or rough/over-specified prompt into a strong text-to-video prompt (Seedance, So", "repo": "https://github.com/Alisa0808/vibe-creating-skill/tree/HEAD/skills/vibe-creating-prompt", "install": ["npx skills add Alisa0808/vibe-creating-skill --skill vibe-creating-prompt"], "stars": 163, "pushed": "2026-06-17T09:12:18Z", "license": "NOASSERTION", "plat": "vibe-creating-prompt", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:antropos17/Aegis", "name": "Aegis", "kind": "mcp", "official": null, "desc": "See what your AI coding agents are doing. AEGIS 0.25.0-beta: open-source Windows desktop with 8 interface languages, process/file/TCP monitoring, project and skill reviews, Claude Code usage and audit reports. Monitoring needs no agent plugin or subscription. Opt-in action policies and MCP gateways ", "repo": "https://github.com/antropos17/Aegis", "install": [], "stars": 162, "pushed": null, "license": null, "plat": "windows", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/ai-use-case-scorer", "name": "ai-use-case-scorer", "kind": "skill", "official": false, "desc": "Score and prioritize AI use cases for your own job. Given a list of candidate use cases (or a description of your workflow), evaluates each on Value × Feasibility × Safety and tiers them — Do Now / Do This Quarter / Park / Avoid. Use when you've heard \"we should use AI more\" and need to figure out what to actually build first. Built for the individual IC, not org-wide rollout.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/ai-use-case-scorer", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill ai-use-case-scorer"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/hypothesis-tree", "name": "hypothesis-tree", "kind": "skill", "official": false, "desc": "Build a Day-1 hypothesis tree — your best-guess answer to the governing question, broken into 2–3 supporting sub-hypotheses, with the test that would prove or kill each one. Different from an issue tree (which decomposes the problem space). This commits to an answer before you do the work, so the work targets what would actually change your mind. Use at the start of any analysis where you'd otherwise \"boil the ocean.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/hypothesis-tree", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill hypothesis-tree"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/issue-tree-builder", "name": "issue-tree-builder", "kind": "skill", "official": false, "desc": "McKinsey-style issue tree framework for breaking down complex problems into MECE (Mutually Exclusive, Collectively Exhaustive) components. Use when users need to decompose strategic questions, structure analysis, create work plans, or prepare for case interviews. Apply hypothesis-driven approach to problem-solving.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/issue-tree-builder", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill issue-tree-builder"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/mckinsey-critic", "name": "mckinsey-critic", "kind": "skill", "official": false, "desc": "Reviews decks, documents, and strategies like a McKinsey engagement manager. Grades each section, flags structural problems, and gives the top 3 fixes. Use after building a deck, writing a strategy doc, or outlining a recommendation — before it goes to stakeholders.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/mckinsey-critic", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-critic"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/meeting-prep-kit", "name": "meeting-prep-kit", "kind": "skill", "official": false, "desc": "Personal meeting prep tool. Given a meeting (attendees, topic, desired outcome), generates a tight prep packet — 3-bullet pre-read, time-boxed agenda, your top 3 talking points, and the top 3 objections you'll face with rebuttals. Use before any meeting where you're driving an outcome — exec reviews, stakeholder pitches, scope negotiations, manager 1:1s with an ask, vendor calls.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/meeting-prep-kit", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill meeting-prep-kit"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/scpr-framework", "name": "scpr-framework", "kind": "skill", "official": false, "desc": "SCPR (Situation-Complication-Problem-Recommendation) framework for structured problem solving and executive communication. Use when users need to structure strategic arguments, analyze business situations, create executive summaries, or develop clear problem statements using McKinsey-style communication. Apply when structuring recommendations, writing memos, or organizing strategic thinking.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/scpr-framework", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill scpr-framework"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/stakeholder-map", "name": "stakeholder-map", "kind": "skill", "official": false, "desc": "Map the people who can make or break a decision onto a Power/Interest grid, with each named stakeholder's stance (champion / skeptic / blocker / unknown), what they care about, and the single influence move you'll make for them. Use before any cross-functional decision, big launch, reorg, or executive ask — anywhere the politics will decide the outcome more than the merits.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/stakeholder-map", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill stakeholder-map"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/storyline-builder", "name": "storyline-builder", "kind": "skill", "official": false, "desc": "McKinsey-style storyline framework for building presentation decks. Use when users need to structure presentations, pitch decks, or strategic communications. Creates logical flow where each storyline becomes a slide title, progressing from problem to solution.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/storyline-builder", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill storyline-builder"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/synthesis", "name": "synthesis", "kind": "skill", "official": false, "desc": "Force the \"so what\" out of a messy pile of raw inputs — interview notes, customer transcripts, survey results, research dumps, meeting recordings — into 3 insights with evidence and implication. Use when you have more data than you have meaning, and someone is about to ask \"ok, so what does this mean?\" Different from summarization; output must change how the reader acts.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/synthesis", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill synthesis"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/top-down-memo", "name": "top-down-memo", "kind": "skill", "official": false, "desc": "Answer-first writing using the Minto Pyramid Principle. Lead with the conclusion, then 2–4 MECE supporting arguments, then evidence under each. Use whenever you have a recommendation, finding, or assessment to communicate in writing — memos, emails to execs, Slack updates that need to land, briefing docs. Different from the Decision Memo Builder (which is a specific 1-page decision artifact); this is the general writing method.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/top-down-memo", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill top-down-memo"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sruthir28/enterprise-ai-skills/workshop-designer", "name": "workshop-designer", "kind": "skill", "official": false, "desc": "Design a half-day or full-day strategy workshop that ends with a committed decision and named owners — not a \"great discussion\" with no artifact. Outputs an hour-by-hour agenda, breakout prompts with expected outputs, pre-reads, facilitator playbook for when things go sideways, and the post-workshop artifact that justifies the day. Use for offsites, leadership alignment sessions, kickoff workshops, planning meetings >2 hours.", "repo": "https://github.com/sruthir28/enterprise-ai-skills/tree/HEAD/workshop-designer", "install": ["npx skills add sruthir28/enterprise-ai-skills --skill workshop-designer"], "stars": 160, "pushed": "2026-09-01T13:56:14Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/eval-leakage-audit", "name": "eval-leakage-audit", "kind": "skill", "official": false, "desc": "Audits whether a verification (eval/metric/experiment/holdout) actually secures independent external ground truth, or whether the designer, the model, and the scorer are just confirming each other in a circle — via a 31-pattern taxonomy. Read-only. Use before trusting any 'how we'll know it worked' — A/B tests, holdouts, scores, validation — especially when a result feels too clean or self-confirming. 한국어: '이 검증 순환논리 아닌지 봐줘', '이 평가 편파적이야?', '이 벤치마크 셀프체크야?'.", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/eval-leakage-audit", "install": ["npx skills add AlexZio00/sovereign-skills --skill eval-leakage-audit"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:microsoft/mcp-interviewer", "name": "mcp-interviewer", "kind": "mcp", "official": null, "desc": "Catch MCP server issues before your agents do.", "repo": "https://github.com/microsoft/mcp-interviewer", "install": [], "stars": 158, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/stepback", "name": "stepback", "kind": "skill", "official": false, "desc": "One-shot perspective reset. Scans current work context, generates 1 abstract reframing question + 3 quick checks (scope drift, side effects, better approach) in under 10 lines. No dialogue, no code, no agents.", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/stepback", "install": ["npx skills add AlexZio00/sovereign-skills --skill stepback"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Nyrok/flompt", "name": "flompt", "kind": "mcp", "official": null, "desc": "flow + prompt = flompt - Visual AI Prompt Builder. Decompose, edit as flowchart, recompile into optimized machine-readable prompts", "repo": "https://github.com/Nyrok/flompt", "install": [], "stars": 155, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Elfocrash/skills/skills/real-work", "name": "real-work", "kind": "skill", "official": false, "desc": "Use when planning a multi-step task or working in plan mode and you need to capture the plan as a durable, resumable artifact — breaking work into phases with per-item checkboxes, completion tracking, autonomous verification, and a handoff summary so a future agent can pick up where you left off. Use when user wants to create or design a plan or mentioned \"real work\".", "repo": "https://github.com/Elfocrash/skills/tree/HEAD/skills/real-work", "install": ["npx skills add Elfocrash/skills --skill real-work"], "stars": 151, "pushed": "2026-06-05T08:02:28Z", "license": "MIT", "plat": "real-work", "live": "Not checked (runs locally)"}, {"id": "skill:awesome-skills/first-principles-skill", "name": "First Principles Thinking", "kind": "skill", "official": false, "desc": "This skill should be used when the user asks to \"analyze from first principles\", \"第一性原理\", \"从根本分析\", \"从零开始思考\", \"think from scratch\", \"question this design\", \"这个设计合理吗\", \"is this the right approach\", \"为什么要这样做\", \"why are we doing it this way\", \"有没有更好的方案\", \"is there a better solution\", \"challenge assumptions\", \"挑战假设\", or needs to evaluate architectural decisions, design choices, or problem-solving approaches without relying on analogies or conventions.", "repo": "https://github.com/awesome-skills/first-principles-skill", "install": ["npx skills add awesome-skills/first-principles-skill --skill First Principles Thinking"], "stars": 149, "pushed": "2025-12-03T04:03:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Speedrunlab/reverse-engineer-anything-self-learning-loop", "name": "reverse-engineer-anything-self-learning-loop", "kind": "skill", "official": false, "desc": "Reverse Engineer Anything with a Self-Learning Loop: examine software you are authorised to analyse, build your own working equivalent, then review it against the original with evidence, plan the gaps, improve, and repeat until a written definition of 100% is met, learning from every iteration so the next product starts further along. Use for: rebuilding a product whose source is lost, a compatible replacement for a tool you license, a port to a new platform, finishing a reconstruction that stal", "repo": "https://github.com/Speedrunlab/reverse-engineer-anything-self-learning-loop", "install": ["npx skills add Speedrunlab/reverse-engineer-anything-self-learning-loop --skill reverse-engineer-anything-self-learning-loop"], "stars": 147, "pushed": "2026-10-25T23:55:53Z", "license": "MIT", "plat": "software", "live": "Not checked (runs locally)"}, {"id": "skill:aaddrick/attention-control/.cursor/skills/attention-control", "name": "attention-control", "kind": "skill", "official": false, "desc": "Shape output for a reader with ADHD, then write each sentence in controlled English: action first, one word one meaning, active voice, simple tenses, state restated every turn. Invoke with /attention-control; stays on until \"stop attention control\".", "repo": "https://github.com/aaddrick/attention-control/tree/HEAD/.cursor/skills/attention-control", "install": ["npx skills add aaddrick/attention-control --skill attention-control"], "stars": 146, "pushed": "2026-08-09T16:39:53Z", "license": "MIT", "plat": "text", "live": "Not checked (runs locally)"}, {"id": "skill:OranAi-Ltd/orangeo-ai-visibility-skill", "name": "orangeo-ai-visibility-skill", "kind": "skill", "official": false, "desc": "Audit brand AI visibility readiness and prepare OranGEO-style GEO, AEO, LLM SEO, and AI search optimization action plans. Use when asked for a Claude Code skill, Codex skill, GEO skill, generative engine optimization skill, answer engine optimization skill, AI visibility audit, AI search visibility checker, llms.txt checker, robots.txt AI crawler check, brand visibility scan, source-gap review, or buyer prompt generator for ChatGPT, Gemini, DeepSeek, Grok, Perplexity, Claude, and other AI answer", "repo": "https://github.com/OranAi-Ltd/orangeo-ai-visibility-skill", "install": ["npx skills add OranAi-Ltd/orangeo-ai-visibility-skill --skill orangeo-ai-visibility-skill"], "stars": 145, "pushed": "2026-06-09T04:12:03Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:vinta/hal-9000/skills/difference", "name": "difference", "kind": "skill", "official": false, "desc": "Compare A vs B, weigh pros and cons of A, B, C, ..., or explain the nuance between sentences — a quick answer from what the model already knows", "repo": "https://github.com/vinta/hal-9000/tree/HEAD/skills/difference", "install": ["npx skills add vinta/hal-9000 --skill difference"], "stars": 143, "pushed": "2026-11-14T03:56:16Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:isjiamu/jiamu-skills/first-principles-mentor", "name": "first-principles-mentor", "kind": "skill", "official": false, "desc": "第一性原理思维导师，通过苏格拉底式提问引导用户拆解复杂问题至最基本公理，再从零重构颠覆性解决方案。 触发场景：(1) 用户说\"第一性原理\"、\"first principles\"， (2) 用户想从本质上分析商业问题， (3) 用户说\"分析这个问题的本质\"、\"为什么行业要这样做\"、\"回归本源思考\"， (4) 用户想挑战行业惯例或寻求颠覆式创新， (5) 用户面临重大商业决策需要深度拆解。", "repo": "https://github.com/isjiamu/jiamu-skills/tree/HEAD/first-principles-mentor", "install": ["npx skills add isjiamu/jiamu-skills --skill first-principles-mentor"], "stars": 143, "pushed": "2026-07-14T04:13:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:isjiamu/jiamu-skills/five-why", "name": "five-why", "kind": "skill", "official": false, "desc": "5Why 溯源顾问，通过连续追问\"为什么\"层层剥离问题表象，帮用户找到系统性的根本原因并制定根治对策。 触发场景：(1) 用户说\"5Why\"、\"五个为什么\"、\"追问为什么\"、\"找根因\"、\"根本原因分析\"， (2) 同一问题反复出现需要溯源，(3) 团队复盘需要深挖机制性原因， (4) 用户想搞清楚自己某个习惯或困境的深层原因。", "repo": "https://github.com/isjiamu/jiamu-skills/tree/HEAD/five-why", "install": ["npx skills add isjiamu/jiamu-skills --skill five-why"], "stars": 143, "pushed": "2026-07-14T04:13:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:isjiamu/jiamu-skills/gidlin-law", "name": "gidlin-law", "kind": "skill", "official": false, "desc": "吉德林法则顾问，通过六步结构化提问帮用户将模糊困扰转化为清晰问题陈述。触发场景：(1) 用户说\"帮我理清思路\"、\"我很迷茫\"、\"我说不清楚问题在哪\"、\"吉德林\"，(2) 用户面对复杂问题但表达模糊、情绪和事实交织，(3) 用户在使用其他思维工具（5Why、第一性原理、私董会）之前需要先定义问题。", "repo": "https://github.com/isjiamu/jiamu-skills/tree/HEAD/gidlin-law", "install": ["npx skills add isjiamu/jiamu-skills --skill gidlin-law"], "stars": 143, "pushed": "2026-07-14T04:13:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:isjiamu/jiamu-skills/peers-advisory-group", "name": "peers-advisory-group", "kind": "skill", "official": false, "desc": "私董会专家助手，引导用户完成完整的私董会流程。通过四位顶级幕僚（巴菲特、比尔·盖茨、马斯克、乔布斯）的多轮提问和反馈，帮助用户深入剖析问题本质并获得可执行的解决方案。融合百度搜索和百度百科实时数据，让幕僚\"带着数据聊\"。触发场景：(1) 用户说\"开始私董会\"、\"私董会\"、\"peers advisory\"，(2) 用户需要多角度分析复杂决策问题，(3) 用户希望获得不同商业领袖视角的建议，(4) 用户面临职业、创业、投资等重大决策需要深度咨询。支持自定义幕僚阵容。", "repo": "https://github.com/isjiamu/jiamu-skills/tree/HEAD/peers-advisory-group", "install": ["npx skills add isjiamu/jiamu-skills --skill peers-advisory-group"], "stars": 143, "pushed": "2026-07-14T04:13:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:isjiamu/jiamu-skills/six-thinking-hats", "name": "six-thinking-hats", "kind": "skill", "official": false, "desc": "六顶思考帽决策引导师，运用爱德华·德·博诺的平行思维法，引导用户从六个维度系统化分析问题并产出决策报告。 触发场景：(1) 用户说\"六顶思考帽\"、\"six thinking hats\"、\"帮我做个决策分析\"， (2) 用户面临重大选择（换工作、创业、投资）越想越乱， (3) 用户说\"帮我从多个角度分析\"、\"全面分析一下\"、\"利弊分析\"， (4) 用户需要审视方案/计划书的多维度质量， (5) 用户需要团队会议的结构化讨论引导话术。", "repo": "https://github.com/isjiamu/jiamu-skills/tree/HEAD/six-thinking-hats", "install": ["npx skills add isjiamu/jiamu-skills --skill six-thinking-hats"], "stars": 143, "pushed": "2026-07-14T04:13:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:techwolf-ai/ai-first-toolkit/plugins/ai-firstify/skills/ai-firstify", "name": "ai-firstify", "kind": "skill", "official": false, "desc": "Analyze, re-engineer, or bootstrap projects to align with AI-first design principles. Use when asked to review, audit, improve, 'ai-firstify', or start a new project. Performs deep analysis across 7 dimensions, actively restructures existing projects, or guides new project setup through discovery questions. Based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp.", "repo": "https://github.com/techwolf-ai/ai-first-toolkit/tree/HEAD/plugins/ai-firstify/skills/ai-firstify", "install": ["npx skills add techwolf-ai/ai-first-toolkit --skill ai-firstify"], "stars": 141, "pushed": "2026-09-29T14:43:16Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:techwolf-ai/ai-first-toolkit/plugins/session-tools/skills/goal-prompt", "name": "goal-prompt", "kind": "skill", "official": false, "desc": "Turn a task, plan, or feature request into a ready-to-paste Claude Code /goal command — a single completion condition with a measurable end state, a demonstrable proof, and the constraints that must not drift. Use when the user says \"give me a goal\", \"goal prompt\", \"make this a /goal\", \"turn this into a goal\", or wants an autonomous long-running objective for Claude Code.", "repo": "https://github.com/techwolf-ai/ai-first-toolkit/tree/HEAD/plugins/session-tools/skills/goal-prompt", "install": ["npx skills add techwolf-ai/ai-first-toolkit --skill goal-prompt"], "stars": 141, "pushed": "2026-09-29T14:43:16Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Mark393295827/third-brain-v7-skills/skills/behavior-design", "name": "behavior-design", "kind": "skill", "official": false, "desc": "Use when a goal must be converted into a repeatable behavior, cue, SOP, review cadence, and identity-aligned reinforcement.", "repo": "https://github.com/Mark393295827/third-brain-v7-skills/tree/HEAD/skills/behavior-design", "install": ["npx skills add Mark393295827/third-brain-v7-skills --skill behavior-design"], "stars": 140, "pushed": "2026-09-19T09:08:54Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Mark393295827/third-brain-v7-skills/skills/creativity-engine", "name": "creativity-engine", "kind": "skill", "official": false, "desc": "Use when a defined problem needs diverse ideas, cross-domain combinations, and cheap experiments instead of a single untested answer.", "repo": "https://github.com/Mark393295827/third-brain-v7-skills/tree/HEAD/skills/creativity-engine", "install": ["npx skills add Mark393295827/third-brain-v7-skills --skill creativity-engine"], "stars": 140, "pushed": "2026-09-19T09:08:54Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:MrZoyo/deslop-GPT/skills/deslop", "name": "deslop", "kind": "skill", "official": false, "desc": "Audit or apply evidence-backed, test-first subtractive cleanup for accumulated agent-created test bloat, verification theater, and defensive or fallback bloat while preserving independent external behavior. Invoke explicitly for semantic simplification, not generic refactoring.", "repo": "https://github.com/MrZoyo/deslop-GPT/tree/HEAD/skills/deslop", "install": ["npx skills add MrZoyo/deslop-GPT --skill deslop"], "stars": 140, "pushed": "2026-10-06T15:42:53Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-ai-tell-audit", "name": "lw-ai-tell-audit", "kind": "skill", "official": false, "desc": "The pre-delivery AI-tell audit for lyrics (歌词 AI 味诊断). Run this on every draft before it ships. The eight enumerable symptoms that make AI-written lyrics recognisable in one listen, which are machine-countable and which need a person, the diagnostic path from symptom to owning skill, why a draft that passes every check can still be lifeless, and the remediation list. Use when a lyric draft is about to be delivered, when a draft reads fine but feels generic, when deciding whether to accept a vers", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-ai-tell-audit", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-ai-tell-audit"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-cantonese", "name": "lw-cantonese", "kind": "skill", "official": false, "desc": "The Cantonese layer for lyric writing (粤语填词的协音层). Cantonese has nine tones plus a tenth, and a syllable sung against its own tone is heard as a different word, so tone-melody agreement is a hard constraint, not a risk score. Gives the worked system; the nine tone values and their singing names 「三九四〇五二一八六」, the four class-scales 「〇二四三」 grouping the tones by tone-tail, the truth table of natural intervals between adjacent characters, true values versus approximations and best approximation, the th", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-cantonese", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-cantonese"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-case-studies", "name": "lw-case-studies", "kind": "skill", "official": false, "desc": "The case layer - how to take a finished lyric apart and what three working lyricists say about their own habits (案例与拆解). A fixed twelve-row worksheet for dissecting any song, keyed to the library's own fields so every finding lands in a skill instead of staying an impression; the rule that a real lyric is read from the middle outward, not from the theme down; what Yao Qian, Zhang Li and Hong Yuan each say about opening lines, restraint, revision, rhyme width, colloquial versus literary diction a", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-case-studies", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-case-studies"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-chinese-style", "name": "lw-chinese-style", "kind": "skill", "official": false, "desc": "The Chinese-style layer for lyric writing (中国风歌词). What makes a lyric read as 中国风 rather than merely decorated - the vocabulary families it draws on (place, dynasty, object, craft, plant), the sixteen rhetorical devices Fang Wen-shan catalogues inside his own lyrics, each with a book example and a failure condition, why every image must belong to one material world and how one out-of-period object breaks it, the four grades of borrowing from classical verse and where borrowing becomes copying, w", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-chinese-style", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-chinese-style"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-english", "name": "lw-english", "kind": "skill", "official": false, "desc": "The English language layer for lyric writing (英文词的重音与节拍对齐). Word stress is fixed inside a polysyllabic word, so the melody bends to the word and never the reverse; stressed syllables belong on stressed notes, which keeps the natural shape of the language; line length is counted in stressed syllables, not total syllables; common meter and its 4-3 stress lines; long syllables want long notes and the contour should track the sentence's intonation; where the breath falls, how phrase length accelerat", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-english", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-english"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-imagery", "name": "lw-imagery", "kind": "skill", "official": false, "desc": "The imagery layer - how to find concrete nouns and make them a system (意象与具体名词). Object writing and the seven senses, the ten-minute timed practice, why abstract nouns are the most direct AI fingerprint and how to build the forbidden list, how to check that a lyric is not all sight, why a set of images must belong to one physical world instead of being piled up at random, simile versus metaphor and how to spot and replace a dead one, and how one object recurs with a shifting meaning. Use when a ", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-imagery", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-imagery"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-japanese", "name": "lw-japanese", "kind": "skill", "official": false, "desc": "The Japanese language layer for lyric writing (日文词的モーラ与符割り). The counting unit is the mora, not the kana or the syllable - the small tsu, the moraic n and the long vowel each take a beat, a palatalized pair takes one; one kana per note is the default, and the same melody remaps itself when the words change; every word carries a pitch-accent contour, and a melody that fights it gets the line heard as a different sentence; fuwari, the mapping of kana to notes; bunsetsu segmentation and where a lin", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-japanese", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-japanese"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-korean", "name": "lw-korean", "kind": "skill", "official": false, "desc": "The Korean language layer for lyric writing (韩文词的音节与받침). One hangul block is one syllable is one note by default - unlike Japanese, a final consonant takes no beat of its own. The batchim (받침, syllable-final consonant) is the subject here; single and double batchim, the seven representative finals, and why a syllable closing on a stop is the wrong place for a long note, a phrase-end hold or a section peak. Liaison (연음) moves a batchim onto the next block, so the sung syllable boundary is not the", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-korean", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-korean"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-mandarin", "name": "lw-mandarin", "kind": "skill", "official": false, "desc": "The Mandarin language layer for lyric writing (普通话作词的语言层). What Chinese as a language adds to the job; tone is phonemic, so the melody that enters a syllable can change which word is heard; one character is one syllable, so syllable count is character count; the thirteen rhyme families (十三辙) with their finals, example characters, wide-versus-narrow reach and loudness grades; how to pick a rhyme family, when to switch, and which families borrow from each other; level-and-oblique (平仄) and how much", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-mandarin", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-mandarin"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-musical-theatre", "name": "lw-musical-theatre", "kind": "skill", "official": false, "desc": "Theatre and musical-theatre lyric writing (剧场与音乐剧唱词). How a song becomes an action instead of a pause, how to make the words sound like the character rather than the lyricist, and what Sondheim's three principles - Content Dictates Form, Less Is More, God Is in the Details, all in the service of clarity - actually change in a draft. Covers character diction by vocabulary, syntax, schooling and period; first-person versus narrator; the price of repetition and the function of perfect rhyme on a st", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-musical-theatre", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-musical-theatre"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jtydhr88/lyric-writing-skills/plugins/lyric-writing/skills/lw-narrative", "name": "lw-narrative", "kind": "skill", "official": false, "desc": "Who is speaking, when they are speaking, and how much they are allowed to know (歌词的叙事层). The three narrative fields every lyric must fill - point of view, tense anchor, and the one thing deliberately left unsaid - with the cost of each person, the risk of mixing pronouns mid-song and the few shifts that actually work, how present/past/future change the listener's distance, why a fixed moment limits what the speaker can know (write the symptom, not the conclusion), why a completed emotional arc (", "repo": "https://github.com/jtydhr88/lyric-writing-skills/tree/HEAD/plugins/lyric-writing/skills/lw-narrative", "install": ["npx skills add jtydhr88/lyric-writing-skills --skill lw-narrative"], "stars": 139, "pushed": "2026-10-30T21:22:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sugarforever/01coder-agent-skills/skills/personal-chinese-writing-style", "name": "personal-chinese-writing-style", "kind": "skill", "official": false, "desc": "Apply the user's Chinese writing style when writing, translating, editing, proofreading, polishing, or publishing Chinese content, including blog posts, articles, subtitles, captions, tweets/X posts, threads, newsletters, and social posts. Enforce punctuation rules, especially Chinese curved quotes, halfwidth dash \" - \", ASCII ellipsis \"......\", and no leftover fullwidth/English punctuation in Chinese body text.", "repo": "https://github.com/sugarforever/01coder-agent-skills/tree/HEAD/skills/personal-chinese-writing-style", "install": ["npx skills add sugarforever/01coder-agent-skills --skill personal-chinese-writing-style"], "stars": 139, "pushed": "2026-10-19T23:56:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:kangraemin/claude-inspector", "name": "claude-inspector", "kind": "mcp", "official": null, "desc": "Claude Code Prompt Mechanism Visualizer — Electron desktop app", "repo": "https://github.com/kangraemin/claude-inspector", "install": [], "stars": 135, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:AlphaMao1/AlphaMao_Skills/skills/intuition-pumps", "name": "intuition-pumps", "kind": "skill", "official": false, "desc": "Use when the user wants to route, choose, learn, or apply Dennett-style intuition pumps and thinking tools for hard problems, stuck reasoning, argument testing, concept confusion, weak explanations, or agent self-rescue after repeated unproductive reasoning.", "repo": "https://github.com/AlphaMao1/AlphaMao_Skills/tree/HEAD/skills/intuition-pumps", "install": ["npx skills add AlphaMao1/AlphaMao_Skills --skill intuition-pumps"], "stars": 133, "pushed": "2026-09-23T10:22:25Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ara-mkr/Wonder-Pill", "name": "wonder-pill", "kind": "skill", "official": false, "desc": "Turns open-ended requests into things to think WITH instead of answers to accept. Audits the hidden assumptions inside a topic, inverts them into sharp \"what if\" provocations, branches each one outward, and delivers a fully-expanded mind map image plus the written wonderings. Fire this when the person signals they want to open up a space and think alongside you — \"wonder about X\", \"what are the weird angles on X\", \"help me think about what this could be\", \"I want to explore, not decide yet\" — or", "repo": "https://github.com/ara-mkr/Wonder-Pill", "install": ["npx skills add ara-mkr/Wonder-Pill --skill wonder-pill"], "stars": 133, "pushed": "2026-09-02T19:38:28Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ara-mkr/Wonder-Pill/universal", "name": "wonder-pill-universal", "kind": "skill", "official": false, "desc": "Turns open-ended requests into things to think WITH instead of answers to accept. Audits the hidden assumptions inside a topic, inverts them into sharp \"what if\" provocations, branches each one outward, and delivers a mind map plus written wonderings. Portable version, no vendor-specific tools required, works on any conversational assistant. Fire this when the person signals they want to open up a space and think alongside the assistant: \"wonder about X\", \"what are the weird angles on X\", \"help ", "repo": "https://github.com/ara-mkr/Wonder-Pill/tree/HEAD/universal", "install": ["npx skills add ara-mkr/Wonder-Pill --skill wonder-pill-universal"], "stars": 133, "pushed": "2026-09-02T19:38:28Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:artemnovitckii/content-skills/anti-ai-writing", "name": "anti-ai-writing", "kind": "skill", "official": false, "desc": "Use when writing or auditing any written content — captions, carousels, newsletters, threads, LinkedIn posts, long-form — and as the FINAL filter on every piece. Reach for it whenever text feels generic, fluent-but-hollow, over-formatted, or \"sounds like AI.\" Strongest on written prose; lighter on spoken reels.", "repo": "https://github.com/artemnovitckii/content-skills/tree/HEAD/anti-ai-writing", "install": ["npx skills add artemnovitckii/content-skills --skill anti-ai-writing"], "stars": 132, "pushed": "2026-06-20T13:32:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gmapsscraper/google-maps-agent-skills/cold-email-local-business", "name": "cold-email-local-business", "kind": "skill", "official": false, "desc": "Write hyper-personalized cold emails to local businesses using their Google Maps data (CSV). Generates AIDA sequences with personalization from ratings, reviews, website, and industry context.", "repo": "https://github.com/gmapsscraper/google-maps-agent-skills/tree/HEAD/cold-email-local-business", "install": ["npx skills add gmapsscraper/google-maps-agent-skills --skill cold-email-local-business"], "stars": 132, "pushed": "2026-05-31T00:25:36Z", "license": "MIT", "plat": "google maps", "live": "Not checked (runs locally)"}, {"id": "skill:gmapsscraper/google-maps-agent-skills/competitor-analysis-local", "name": "competitor-analysis-local", "kind": "skill", "official": false, "desc": "Analyze local competitors from a Google Maps CSV export. Compare ratings, reviews, digital presence, and positioning. Find market gaps and opportunities without any API calls.", "repo": "https://github.com/gmapsscraper/google-maps-agent-skills/tree/HEAD/competitor-analysis-local", "install": ["npx skills add gmapsscraper/google-maps-agent-skills --skill competitor-analysis-local"], "stars": 132, "pushed": "2026-05-31T00:25:36Z", "license": "MIT", "plat": "google maps", "live": "Not checked (runs locally)"}, {"id": "skill:62656456/ai-film-skills/skills/d-official-market-analysis", "name": "d-official-market-analysis", "kind": "skill", "official": false, "desc": "基于可验证的官方和权威来源分析影视、微短剧、漫剧、AI影视、网络动画与剧情短视频市场。用于“调用D”“用D分析”、题材趋势、平台对比、指标解释、项目市场评估与完整市场研究；按本次问题确定范围与交付，不把单项咨询自动扩成全市场报告。", "repo": "https://github.com/62656456/ai-film-skills/tree/HEAD/skills/d-official-market-analysis", "install": ["npx skills add 62656456/ai-film-skills --skill d-official-market-analysis"], "stars": 132, "pushed": "2026-11-06T01:31:28Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:artemnovitckii/content-skills/dumbify", "name": "dumbify", "kind": "skill", "official": false, "desc": "Use when writing or auditing content that has to be easy to follow — explainer reels, teaching carousels, how-to scripts, any piece that teaches or explains something — or when a draft feels dense, jargony, high-effort, or hard to follow. Lowers reading level and mental load so people keep watching and reading. Pairs with the other writing skills in this pack.", "repo": "https://github.com/artemnovitckii/content-skills/tree/HEAD/dumbify", "install": ["npx skills add artemnovitckii/content-skills --skill dumbify"], "stars": 132, "pushed": "2026-06-20T13:32:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gmapsscraper/google-maps-agent-skills/google-maps-leads", "name": "google-maps-leads", "kind": "skill", "official": false, "desc": "Generate qualified B2B leads from Google Maps. Define your ICP, extract matching businesses, score and qualify leads, export ready-to-outreach lists.", "repo": "https://github.com/gmapsscraper/google-maps-agent-skills/tree/HEAD/google-maps-leads", "install": ["npx skills add gmapsscraper/google-maps-agent-skills --skill google-maps-leads"], "stars": 132, "pushed": "2026-05-31T00:25:36Z", "license": "MIT", "plat": "google maps", "live": "Not checked (runs locally)"}, {"id": "skill:gmapsscraper/google-maps-agent-skills/google-maps-reviews-scraper", "name": "google-maps-reviews-scraper", "kind": "skill", "official": false, "desc": "Analyze Google Maps review data from CSV exports. Sentiment analysis, trend detection, competitor review comparison, and reputation insights — no API key needed.", "repo": "https://github.com/gmapsscraper/google-maps-agent-skills/tree/HEAD/google-maps-reviews-scraper", "install": ["npx skills add gmapsscraper/google-maps-agent-skills --skill google-maps-reviews-scraper"], "stars": 132, "pushed": "2026-05-31T00:25:36Z", "license": "MIT", "plat": "google maps", "live": "Not checked (runs locally)"}, {"id": "skill:artemnovitckii/content-skills/storytelling", "name": "storytelling", "kind": "skill", "official": false, "desc": "Use when writing or auditing talking-head / narrative / \"yap\" content — reel scripts, video scripts, story-driven posts, any piece where someone talks to camera or tells a story. The hook stops the scroll; storytelling holds the watch after it. Not for pure tactical demos or bare listicles with no through-line.", "repo": "https://github.com/artemnovitckii/content-skills/tree/HEAD/storytelling", "install": ["npx skills add artemnovitckii/content-skills --skill storytelling"], "stars": 132, "pushed": "2026-06-20T13:32:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:artemnovitckii/content-skills/viral-hooks", "name": "viral-hooks", "kind": "skill", "official": false, "desc": "Use when writing or auditing the opening lines of any content — reel hooks, carousel slide 1, video intros, newsletter subject lines, tweet openers — or when a draft's opener feels flat, vague, or skippable.", "repo": "https://github.com/artemnovitckii/content-skills/tree/HEAD/viral-hooks", "install": ["npx skills add artemnovitckii/content-skills --skill viral-hooks"], "stars": 132, "pushed": "2026-06-20T13:32:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jMerta/codex-skills/write-ui-copy", "name": "write-ui-copy", "kind": "skill", "official": false, "desc": "Use when the user asks to draft, rewrite, translate, or review user-facing interface copy in Polish or English, including titles, descriptions, buttons, links, labels, hints, toasts, errors, empty states, statuses, payment messages, and confirmations. Aligns meaning when both supported locales are in scope.", "repo": "https://github.com/jMerta/codex-skills/tree/HEAD/write-ui-copy", "install": ["npx skills add jMerta/codex-skills --skill write-ui-copy"], "stars": 132, "pushed": "2026-08-18T12:07:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:phuryn/work-humanizer/evidence/skill-versions/v3", "name": "noslop", "kind": "skill", "official": false, "desc": "Edit AI-sounding text so it reads like a careful person wrote it, without changing what it says. Two modes. Rewrite: edit the text you are given (posts, emails, docs, release notes, replies, landing pages). Interview: when a draft is AI-composed and thin, ask the writer 3-5 sharp questions and build the piece from their answers, in their words. Calibrated on measured differences between human and AI writing.", "repo": "https://github.com/phuryn/work-humanizer/tree/HEAD/evidence/skill-versions/v3", "install": ["npx skills add phuryn/work-humanizer --skill noslop"], "stars": 130, "pushed": "2026-10-10T10:09:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:phuryn/work-humanizer/skills/work-humanizer", "name": "work-humanizer", "kind": "skill", "official": false, "desc": "Edit AI-sounding text so it reads like a careful person wrote it, without changing what it says or commits to. Built for work writing where the wording matters: sales and marketing copy, support replies, HR and legal letters, emails, docs, release notes, posts, landing pages. Two modes. Rewrite: edit the text you are given. Interview: when a draft is AI-composed and thin, ask the writer 3-5 sharp questions and build the piece from their answers, in their words. Also writes from the writer's own ", "repo": "https://github.com/phuryn/work-humanizer/tree/HEAD/skills/work-humanizer", "install": ["npx skills add phuryn/work-humanizer --skill work-humanizer"], "stars": 130, "pushed": "2026-10-10T10:09:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/adversarial-roleplay", "name": "adversarial-roleplay", "kind": "skill", "official": false, "desc": "PM stress-test roleplay. Use this skill whenever a PM wants to practice handling a difficult situation with a designer or engineer, stress-test their instincts in a realistic scenario, or understand what it feels like to be on their team when things go wrong. You play a frustrated, skeptical, or overloaded team member and respond as they would. Trigger on: \"let's do a roleplay\", \"play my designer\", \"play my lead engineer\", \"stress test how I handle this\", \"I want to practice\", \"pretend you're th", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/adversarial-roleplay", "install": ["npx skills add gnurio/nurijanian-skills --skill adversarial-roleplay"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/blind-spot-scan", "name": "blind-spot-scan", "kind": "skill", "official": false, "desc": "PM blind spot identifier. Use this skill whenever a PM wants a comprehensive read on which behavioral gaps they have that they can't see themselves. This is the deepest and most comprehensive mode — a full interview that surfaces systematic patterns across all 7 behavioral clusters. Trigger on: \"what are my blind spots?\", \"what am I missing as a PM?\", \"give me an honest full assessment\", \"I want a comprehensive read on where I fall short\", \"test me across everything\", \"what do I consistently get", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/blind-spot-scan", "install": ["npx skills add gnurio/nurijanian-skills --skill blind-spot-scan"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/corporate-misalignment-finder", "name": "corporate-misalignment-finder", "kind": "skill", "official": false, "desc": "Find, diagnose, and fix misalignment in corporate settings. Use this skill when teams are stuck, decisions aren't being made, meetings are dysfunctional, or there's confusion about who has authority. Trigger on: \"we're misaligned\", \"can't get everyone on the same page\", \"meetings are a waste of time\", \"who's supposed to decide this?\", \"too many cooks\", \"analysis paralysis\", \"nothing gets decided\", \"people aren't following the process\", or any time group dynamics are blocking progress.", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/corporate-misalignment-finder", "install": ["npx skills add gnurio/nurijanian-skills --skill corporate-misalignment-finder"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/decision-audit", "name": "decision-audit", "kind": "skill", "official": false, "desc": "PM decision quality auditor. Use this skill whenever a PM wants to audit a specific decision they made — not just whether it worked out, but whether it was a *good decision* by the criteria that define PM excellence. Trigger on: \"was this the right call?\", \"I want to audit this decision\", \"I'm not sure I made this well\", \"help me think through whether this was a good PM decision\", \"I made a call about X and I want to pressure-test it\", \"I cut this feature / changed this priority / chose this dir", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/decision-audit", "install": ["npx skills add gnurio/nurijanian-skills --skill decision-audit"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:TAJD/economist-style-guide-plugin/economist-style/skills/economist-style", "name": "economist-style", "kind": "skill", "official": false, "desc": "Apply The Economist style guide to written content. Use when editing markdown, HTML, documentation, or any written text that needs professional editing for clarity, precision, and brevity. Detects weasel words, fillers, passive voice, and style issues.", "repo": "https://github.com/TAJD/economist-style-guide-plugin/tree/HEAD/economist-style/skills/economist-style", "install": ["npx skills add TAJD/economist-style-guide-plugin --skill economist-style"], "stars": 129, "pushed": "2026-08-01T03:42:55Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/focal-point-finder", "name": "focal-point-finder", "kind": "skill", "official": false, "desc": "This skill should be used when someone needs to find, propose, or evaluate a focal point in a coordination, negotiation, or alignment problem. A focal point is a solution that people converge on without explicit agreement — because it is uniquely prominent, simple, or recognizable. Based on Thomas Schelling's \"The Strategy of Conflict.\" Triggers on \"where should we align?\", \"how do we get everyone on the same page?\", \"what's the obvious choice?\", \"find a focal point\", \"Schelling point\", \"coordin", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/focal-point-finder", "install": ["npx skills add gnurio/nurijanian-skills --skill focal-point-finder"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/make-requirements-great", "name": "make-requirements-great", "kind": "skill", "official": false, "desc": "Review existing requirements or convert raw context into requirements that meet 18 quality characteristics (unambiguous, clear, cohesive, consistent, conformant, current, modifiable, traceable, relevant, unique, categorised, complete, correct, concise, testable, implementation-independent, owned, feasible). Use whenever the user mentions requirements, PRDs, specs, user stories, acceptance criteria, requirements review, requirements audit, BRD, FRD, requirements quality, requirements catalogue, r", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/make-requirements-great", "install": ["npx skills add gnurio/nurijanian-skills --skill make-requirements-great"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/orchestrate-pm-alignment", "name": "orchestrate-pm-alignment", "kind": "skill", "official": false, "desc": "PM alignment coach and router. Use this skill whenever a product manager (or someone managing products) wants to reflect on their own performance, check their behaviors against a standard of excellence, get coaching, practice a difficult scenario, audit a decision, or understand their blind spots. Trigger on phrases like: \"am I being a good PM?\", \"check how I'm doing\", \"coach me\", \"how would my team see me?\", \"let's roleplay a scenario\", \"audit my decision\", \"what am I missing as a PM\", \"what ar", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/orchestrate-pm-alignment", "install": ["npx skills add gnurio/nurijanian-skills --skill orchestrate-pm-alignment"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/reasons-people-buy", "name": "reasons-people-buy", "kind": "skill", "official": false, "desc": "Ground persuasive writing in a real reason people buy. Use when writing or editing copy meant to make someone buy, subscribe, or act (landing pages, ads, offers, positioning), or when auditing a draft that reads as feature-speak — \"why would anyone buy this?\", \"make this benefit-led\", \"what's the hook?\".", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/reasons-people-buy", "install": ["npx skills add gnurio/nurijanian-skills --skill reasons-people-buy"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/rulebook-for-arguments", "name": "rulebook-for-arguments", "kind": "skill", "official": false, "desc": "Construct, critique, and audit arguments using the complete methodology from Weston's \"A Rulebook for Arguments\". Use when building a position, stress-testing logic, identifying fallacies, writing argumentative essays, or preparing for debate. Covers all 45 rules, 19 fallacies, 3 definition rules, deductive forms, causal reasoning, and analogy evaluation.", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/rulebook-for-arguments", "install": ["npx skills add gnurio/nurijanian-skills --skill rulebook-for-arguments"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/tech-sensemaking", "name": "tech-sensemaking", "kind": "skill", "official": false, "desc": "Analyze technology announcements to surface non-obvious strategic implications using Verbalized Sampling. Works against any context: a business, product, codebase, feature branch, personal project, career, or exploratory domain. Use when a new technology, feature, or capability is announced and you want to understand what new outcomes, affordances, and competitive levers it creates — beyond the obvious hot takes. Triggers on: \"analyze this announcement\", \"what does this mean for us\", \"tech sense", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/tech-sensemaking", "install": ["npx skills add gnurio/nurijanian-skills --skill tech-sensemaking"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:gnurio/nurijanian-skills/skills/workflow-trellis", "name": "workflow-trellis", "kind": "skill", "official": false, "desc": "Represent messy work as durable obligations, workflow building blocks, fragments, AI/automation insertion points, and exception queues. Use this whenever the user wants to analyze interviews, messy notes, customer research, operational workflows, PM workflows, vertical SaaS opportunities, AI insertion points, automation opportunities, \"durable obligations\", fragmented work, hated execution burden, or where AI should fit into an existing workflow. This skill is primarily a thinking and workflow-m", "repo": "https://github.com/gnurio/nurijanian-skills/tree/HEAD/skills/workflow-trellis", "install": ["npx skills add gnurio/nurijanian-skills --skill workflow-trellis"], "stars": 129, "pushed": "2026-08-13T10:40:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sergebulaev/tiktok-skills/.codex-marketplace/tiktok-skills/skills/tt-humanizer", "name": "tt-humanizer", "kind": "skill", "official": false, "desc": "Remove the AI-script tells viewers hear in a TikTok spoken script and caption: 2026 vocabulary by density, reveal bridges, staccato stacks, stacked triads, performed sincerity, written-not-spoken phrasing, \\\"hey guys\\\" filler; caps em dashes. Includes --mode audit pre-film check (hook, completion design, caption fit) and --mode profile. Not for beating AI detectors (no edit reliably does). Not for writing from scratch (use tt-hook-scripter). Keywords: humanize script, de-AI, audit before filming", "repo": "https://github.com/sergebulaev/tiktok-skills/tree/HEAD/.codex-marketplace/tiktok-skills/skills/tt-humanizer", "install": ["npx skills add sergebulaev/tiktok-skills --skill tt-humanizer"], "stars": 128, "pushed": "2026-11-11T13:14:12Z", "license": "MIT", "plat": "tiktok", "live": "Not checked (runs locally)"}, {"id": "skill:povvo/claudikins-kernel/skills/brain-jam-plan", "name": "brain-jam-plan", "kind": "skill", "official": false, "desc": "Use when running claudikins-kernel:outline, brainstorming implementation approaches, gathering requirements iteratively, structuring complex technical plans, or facing analysis paralysis with too many options — provides iterative human-in-the-loop planning with explicit checkpoints and trade-off presentation", "repo": "https://github.com/povvo/claudikins-kernel/tree/HEAD/skills/brain-jam-plan", "install": ["npx skills add povvo/claudikins-kernel --skill brain-jam-plan"], "stars": 127, "pushed": "2026-04-22T12:19:57Z", "license": "MIT", "plat": "claudikins-kernel", "live": "Not checked (runs locally)"}, {"id": "skill:infranodus/skills/skill-cognitive-variability", "name": "cognitive-variability", "kind": "skill", "official": false, "desc": "Guide conversations through dynamic shifts between zoom levels (scale) and connecting/exploring (intent) to unlock creative breakthroughs and prevent rigid thinking. Helps enhance and develop biased, focused, diversified, and dispersed states. Receives signals from the writing assistant's pattern detection to diagnose cognitive states. Identifies structural gaps between idea clusters as spaces for innovation. Tracks temporal dwelling patterns and manages energy across personality modes. Uses pla", "repo": "https://github.com/infranodus/skills/tree/HEAD/skill-cognitive-variability", "install": ["npx skills add infranodus/skills --skill cognitive-variability"], "stars": 127, "pushed": "2026-11-12T21:39:13Z", "license": "NOASSERTION", "plat": "claudikins-kernel", "live": "Not checked (runs locally)"}, {"id": "skill:Git-FED/MuseAi-Skills-Guide/skills/prompt-reviewer", "name": "prompt-reviewer", "kind": "skill", "official": false, "desc": "Review prompts for clarity, safety, permissions, evidence, and useful output constraints.", "repo": "https://github.com/Git-FED/MuseAi-Skills-Guide/tree/HEAD/skills/prompt-reviewer", "install": ["npx skills add Git-FED/MuseAi-Skills-Guide --skill prompt-reviewer"], "stars": 127, "pushed": "2026-11-12T02:25:18Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:infranodus/skills/skill-writing-assistant", "name": "writing-assistant", "kind": "skill", "official": false, "desc": "Refine texts in any language: perfect grammar and spelling, paraphrase ideas, avoid AI detection while maintaining authentic voice. Detects grammatical patterns that signal cognitive states or structural issues—acting as a sensory system for deeper strategic insights.", "repo": "https://github.com/infranodus/skills/tree/HEAD/skill-writing-assistant", "install": ["npx skills add infranodus/skills --skill writing-assistant"], "stars": 127, "pushed": "2026-11-12T21:39:13Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:luochang212/skill-zoo/skills/worth-fix", "name": "worth-fix", "kind": "skill", "official": false, "desc": "分析和判断任何论断、报告、想法或需求的真实性、价值与做法。当用户说\"这个 bug 是真的吗\"、\"分析一下这个问题/这个报告/这个说法\"、\"这个修复值得做吗\"、\"帮我看下这个建议靠不靠谱\"，或用户给出一个待评估的 bug 报告、文章摘录、设计提案时使用。先核验、复现、定级、讲清原理、判断是否值得做，而不是直接相信或直接动手改代码。也适用于评估\"要不要重构\"。", "repo": "https://github.com/luochang212/skill-zoo/tree/HEAD/skills/worth-fix", "install": ["npx skills add luochang212/skill-zoo --skill worth-fix"], "stars": 126, "pushed": "2026-11-12T17:48:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:avibebuilder/claude-prime/.claude/starter-skills/humanizer", "name": "humanizer", "kind": "skill", "official": false, "desc": "Rewrite existing text so it stops sounding AI-generated. Triggers on \"humanize this\", \"un-ChatGPT it\", \"doesn't scream LLM\", \"strip the AI voice\", or naming specific AI tells (em dashes, \"it's not just X it's Y\", \"stands as a testament\", \"thrilled to announce\", emoji-headed bullets, LinkedIn cringe). Works on any draft — blog posts, memos, READMEs, essays, PR descriptions — inline or in files. Keeps facts; changes voice. Do NOT use for writing new content, summarizing, translating, or pure-expla", "repo": "https://github.com/avibebuilder/claude-prime/tree/HEAD/.claude/starter-skills/humanizer", "install": ["npx skills add avibebuilder/claude-prime --skill humanizer"], "stars": 125, "pushed": "2026-05-16T19:59:38Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:khendzel/skills-janitor/skills/janitor-fix", "name": "janitor-fix", "kind": "skill", "official": false, "desc": "Automatically fix skill problems (safe preview first). Also use with --prune to find and remove broken symlinks, empty directories, and orphaned skills. Trigger with '/janitor-fix'.", "repo": "https://github.com/khendzel/skills-janitor/tree/HEAD/skills/janitor-fix", "install": ["npx skills add khendzel/skills-janitor --skill janitor-fix"], "stars": 125, "pushed": "2026-09-30T06:42:07Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:khendzel/skills-janitor/skills/janitor-report", "name": "janitor-report", "kind": "skill", "official": false, "desc": "Full health check of all your skills in one report. Use when the user wants to check for errors, find duplicates, detect broken skills, or get a complete overview of skill health. Pass --brief for inventory only. Trigger with '/janitor-report'.", "repo": "https://github.com/khendzel/skills-janitor/tree/HEAD/skills/janitor-report", "install": ["npx skills add khendzel/skills-janitor --skill janitor-report"], "stars": 125, "pushed": "2026-09-30T06:42:07Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:khendzel/skills-janitor/skills/janitor-security", "name": "janitor-security", "kind": "skill", "official": false, "desc": "Heuristic security scan of installed skills — prompt-injection phrases, hidden unicode instructions, credential-store access, network-pipe-to-shell and payload-smuggling patterns. Use when the user asks 'are my skills safe', wants to scan skills for prompt injection or malware patterns, or before trusting a newly installed skill. Trigger with '/janitor-security'.", "repo": "https://github.com/khendzel/skills-janitor/tree/HEAD/skills/janitor-security", "install": ["npx skills add khendzel/skills-janitor --skill janitor-security"], "stars": 125, "pushed": "2026-09-30T06:42:07Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:khendzel/skills-janitor/skills/janitor-swipe", "name": "janitor-swipe", "kind": "skill", "official": false, "desc": "Tinder for your Claude Code skills. Reviews a sorted deck of every installed skill and lets you swipe keep / delete / skip on each one. Use when the user wants to bulk-clean their skill collection, triage unused skills, or do interactive skill cleanup. Trigger with '/janitor-swipe'.", "repo": "https://github.com/khendzel/skills-janitor/tree/HEAD/skills/janitor-swipe", "install": ["npx skills add khendzel/skills-janitor --skill janitor-swipe"], "stars": 125, "pushed": "2026-09-30T06:42:07Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:khendzel/skills-janitor/skills/janitor-value", "name": "janitor-value", "kind": "skill", "official": false, "desc": "Show whether each skill is earning its context-window cost — combined tokens-used view sorted by waste. Use when the user asks 'are my skills worth it', 'what's my context budget', 'which skills are dead weight', or wants to audit skill value, token cost, or usage. Trigger with '/janitor-value'.", "repo": "https://github.com/khendzel/skills-janitor/tree/HEAD/skills/janitor-value", "install": ["npx skills add khendzel/skills-janitor --skill janitor-value"], "stars": 125, "pushed": "2026-09-30T06:42:07Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/5whys", "name": "5whys", "kind": "skill", "official": false, "desc": "Five Whys root cause analysis. Iteratively asks \"why\" to drill past symptoms to underlying causes. Use for debugging, investigating failures, or understanding why something went wrong.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/5whys", "install": ["npx skills add neurofoo/agent-skills --skill 5whys"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/aar", "name": "aar", "kind": "skill", "official": false, "desc": "After-Action Review—structured debrief asking what was expected, what happened, why the difference, and what next. Use after projects, launches, presentations, or any significant event.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/aar", "install": ["npx skills add neurofoo/agent-skills --skill aar"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/cynefin", "name": "cynefin", "kind": "skill", "official": false, "desc": "Cynefin sense-making framework categorizing problems as Simple, Complicated, Complex, Chaotic, or Confused to select the right approach. Use when unsure how to tackle a problem.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/cynefin", "install": ["npx skills add neurofoo/agent-skills --skill cynefin"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/design", "name": "design", "kind": "skill", "official": false, "desc": "Design Thinking process—Empathize, Define, Ideate, Prototype, Test. Use for product design, solving ambiguous problems, or when you don't know what users really need.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/design", "install": ["npx skills add neurofoo/agent-skills --skill design"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/eisenhower", "name": "eisenhower", "kind": "skill", "official": false, "desc": "Eisenhower Matrix prioritization categorizing tasks by urgency and importance into Do, Schedule, Delegate, Eliminate quadrants. Use for task prioritization, time management, or when overwhelmed.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/eisenhower", "install": ["npx skills add neurofoo/agent-skills --skill eisenhower"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/eos-composition", "name": "eos-composition", "kind": "skill", "official": false, "desc": "Strunk & White composition review using the 11 principles from \"Elements of Style\" Chapter II. Use when analyzing structure, improving flow, or tightening prose.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/eos-composition", "install": ["npx skills add neurofoo/agent-skills --skill eos-composition"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/eos-style", "name": "eos-style", "kind": "skill", "official": false, "desc": "Strunk & White style review using the 21 reminders from \"Elements of Style\" Chapter V. Use when editing prose, reviewing drafts, or improving writing clarity and tone.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/eos-style", "install": ["npx skills add neurofoo/agent-skills --skill eos-style"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/eos-usage", "name": "eos-usage", "kind": "skill", "official": false, "desc": "Strunk & White grammar review using the 11 elementary rules from \"Elements of Style\" Chapter I. Use when checking mechanics, punctuation, and grammatical correctness.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/eos-usage", "install": ["npx skills add neurofoo/agent-skills --skill eos-usage"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/feynman", "name": "feynman", "kind": "skill", "official": false, "desc": "Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine. Use when learning something new, testing understanding, or preparing to teach.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/feynman", "install": ["npx skills add neurofoo/agent-skills --skill feynman"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/jtbd", "name": "jtbd", "kind": "skill", "official": false, "desc": "Jobs to Be Done analysis to understand what customers really want. Use for product discovery, competitive analysis, or understanding why customers hire/fire solutions.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/jtbd", "install": ["npx skills add neurofoo/agent-skills --skill jtbd"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/moscow", "name": "moscow", "kind": "skill", "official": false, "desc": "MoSCoW prioritization categorizing items as Must have, Should have, Could have, or Won't have. Use for scope definition, feature prioritization, or when everything feels equally important.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/moscow", "install": ["npx skills add neurofoo/agent-skills --skill moscow"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/ooda", "name": "ooda", "kind": "skill", "official": false, "desc": "OODA loop decision framework (Observe, Orient, Decide, Act). Use for complex decisions, problem-solving, unclear situations, or when someone is jumping to solutions without analysis.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/ooda", "install": ["npx skills add neurofoo/agent-skills --skill ooda"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/postmortem", "name": "postmortem", "kind": "skill", "official": false, "desc": "Blameless post-mortem incident analysis with timeline, root cause, and action items. Use after outages, security incidents, project failures, or any event you want to prevent recurring.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/postmortem", "install": ["npx skills add neurofoo/agent-skills --skill postmortem"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/premortem", "name": "premortem", "kind": "skill", "official": false, "desc": "Pre-mortem analysis that imagines a plan has failed, then works backward to identify causes and preventions. Use before launches, major decisions, or risky initiatives to surface hidden risks.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/premortem", "install": ["npx skills add neurofoo/agent-skills --skill premortem"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/redteam", "name": "redteam", "kind": "skill", "official": false, "desc": "Red team adversarial analysis to find weaknesses, vulnerabilities, and failure modes. Use before launches, for security review, or when a plan feels too perfect.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/redteam", "install": ["npx skills add neurofoo/agent-skills --skill redteam"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/retro", "name": "retro", "kind": "skill", "official": false, "desc": "Start-Stop-Continue retrospective identifying what to Start doing, Stop doing, and Continue doing. Use for sprint retros, personal reflection, team process reviews, or habit audits.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/retro", "install": ["npx skills add neurofoo/agent-skills --skill retro"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/rice", "name": "rice", "kind": "skill", "official": false, "desc": "RICE prioritization scoring initiatives by Reach, Impact, Confidence, and Effort. Use for feature prioritization, roadmap planning, or when comparing initiatives objectively.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/rice", "install": ["npx skills add neurofoo/agent-skills --skill rice"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/scamper", "name": "scamper", "kind": "skill", "official": false, "desc": "SCAMPER creative brainstorming with seven prompts—Substitute, Combine, Adapt, Modify, Put to other uses, Eliminate, Reverse. Use for innovation, product ideas, or breaking creative blocks.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/scamper", "install": ["npx skills add neurofoo/agent-skills --skill scamper"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/sixhats", "name": "sixhats", "kind": "skill", "official": false, "desc": "Six Thinking Hats parallel thinking—explore from six perspectives (facts, feelings, caution, benefits, creativity, process). Use for group decisions or ensuring all angles are considered.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/sixhats", "install": ["npx skills add neurofoo/agent-skills --skill sixhats"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OmidZamani/dspy-skills/.claude/skills-skill-perfection", "name": "skill-perfection", "kind": "skill", "official": false, "desc": "Use this skill when you need to QA audit and fix a plugin skill file. Provides a methodology for verifying skill content against official documentation, fixing issues in-place, and producing verification reports.", "repo": "https://github.com/OmidZamani/dspy-skills/tree/HEAD/.claude/skills-skill-perfection", "install": ["npx skills add OmidZamani/dspy-skills --skill skill-perfection"], "stars": 124, "pushed": "2026-06-23T08:02:41Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:neurofoo/agent-skills/socratic", "name": "socratic", "kind": "skill", "official": false, "desc": "Socratic questioning to examine beliefs, uncover assumptions, and develop deeper understanding. Use to challenge thinking, evaluate proposals, or teach without lecturing.", "repo": "https://github.com/neurofoo/agent-skills/tree/HEAD/socratic", "install": ["npx skills add neurofoo/agent-skills --skill socratic"], "stars": 124, "pushed": "2026-01-19T13:00:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/adr-writer", "name": "adr-writer", "kind": "skill", "official": false, "desc": "Author an Architecture Decision Record that captures a non-obvious technical choice — its context, the decision, the consequences, the rejected alternatives, and the reversibility cost. Use whenever a non-trivial dependency is picked, a framework is chosen, a one-way door is opened, two specialists disagree and the orchestrator must pick, or anyone in a future session would ask \"why did we do this?\" An ADR exists so the answer is on disk, not in someone's head. Its lifecycle status lives in fron", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/adr-writer", "install": ["npx skills add llopresto87/Cypress --skill adr-writer"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/brainstorm-internal", "name": "brainstorm-internal", "kind": "skill", "official": false, "desc": "The divergence technique CYPRESS applies to itself, with no user in the loop — generating genuinely distinct options against evidence already in hand, stating what would have to be true for each, and naming the one fact that would kill each. Use when a choice is the session's to make and the user has nothing to add to it - filling grill.md §7, assembling an ADR's rejected alternatives, choosing between two implementations that satisfy the same contract, or deciding how to sequence work. The user", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/brainstorm-internal", "install": ["npx skills add llopresto87/Cypress --skill brainstorm-internal"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/brainstorm-socratic", "name": "brainstorm-socratic", "kind": "skill", "official": false, "desc": "The Socratic questioning technique that converges a vague goal — question selection, one-to-three-per-turn pacing, the reflect-every-two-answers cadence, the nine-question hard cap, and the eight-point convergence checklist that defines \"converged\". This is the user-facing of the brainstorm protocol's two modes — use it when the decision is the owner's to make; when it is the session's own, the mode is skill.brainstorm-internal and there is nobody to question. The protocol owns entry/exit condit", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/brainstorm-socratic", "install": ["npx skills add llopresto87/Cypress --skill brainstorm-socratic"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/context-router", "name": "context-router", "kind": "skill", "official": false, "desc": "Resolve the minimum set of knowledge-graph nodes needed for a task before reading any source file. Use at the start of every non-trivial task once a project has a knowledge graph — when changing a subsystem, tracing a bug, planning work, answering a question about how something works, or onboarding. This is the mechanism that keeps a large or multi-repo codebase inside a context window: it decides what to load, what to deliberately skip, and forces the agent to declare both before working. Pairs", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/context-router", "install": ["npx skills add llopresto87/Cypress --skill context-router"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:joetawil7/first-pass/skills/fix-the-class", "name": "fix-the-class", "kind": "skill", "official": false, "desc": "Bug-fix routine that fixes the whole class of bug, not just the reported instance. Use for any bug report, failing production behaviour, monitoring alert, audit finding or review finding that does real harm (a smaller review finding goes on the item's list, as ship-check says), and whenever the same kind of bug has been seen before. Reproduces it with a failing test, names the failure class, searches the task's scope for the same pattern (the whole codebase when the user's own prompt asks for th", "repo": "https://github.com/joetawil7/first-pass/tree/HEAD/skills/fix-the-class", "install": ["npx skills add joetawil7/first-pass --skill fix-the-class"], "stars": 121, "pushed": "2026-10-17T22:25:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/holistic-editing", "name": "holistic-editing", "kind": "skill", "official": false, "desc": "The discipline for any change, fix, refactor, or review whose unit of work is larger than a trivial one-liner. Use whenever you edit existing code or a knowledge page — the unit of work is the whole file or module, never the smallest diff that satisfies the request. A change is complete only when the file reads as if the requirement had existed from the beginning: no bolted-on functions, no _v2 wrappers, no special-case branches around logic that should itself change, no now-dead code left \"to b", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/holistic-editing", "install": ["npx skills add llopresto87/Cypress --skill holistic-editing"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:joetawil7/first-pass/skills/hulk", "name": "hulk", "kind": "skill", "official": false, "desc": "Lifts the task's scope for one task. The session, its reviews and fix-the-class then look across the whole codebase and every repo that shares its code, data or vendors, and every problem found anywhere is handled by the usual rules. Runs only when the user types it.", "repo": "https://github.com/joetawil7/first-pass/tree/HEAD/skills/hulk", "install": ["npx skills add joetawil7/first-pass --skill hulk"], "stars": 121, "pushed": "2026-10-17T22:25:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/humanizer", "name": "humanizer", "kind": "skill", "official": false, "desc": "Draft or revise prose a person will read (documentation, README text, ADR and spec bodies, runbooks, pull-request descriptions, commit messages, delivery summaries, briefs and reports for the owner) so it reads as deliberate writing by a competent author, without changing what it says. Use when a draft came out of a model and shows the tells (empty contrasts, staged openers, one-line closers, forced triads, dash dependence, inflated significance, bold labels on every item, chatbot residue), when", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/humanizer", "install": ["npx skills add llopresto87/Cypress --skill humanizer"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:joetawil7/first-pass/skills/jev", "name": "jev", "kind": "skill", "official": false, "desc": "Sets up, checks or changes the optional Jev judge, the TypeSafe decision model that ship-check asks about review findings (is this real harm, is a small one worth fixing now, what proof does a small fix need). Shows whether it is on for each repo, which key it uses, switches it on or off, and sends one test request. Runs only when the user types it.", "repo": "https://github.com/joetawil7/first-pass/tree/HEAD/skills/jev", "install": ["npx skills add joetawil7/first-pass --skill jev"], "stars": 121, "pushed": "2026-10-17T22:25:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:RTFM-IT-Services-LLC/msp-claude-skills/skills/msp-ai-adoption", "name": "msp-ai-adoption", "kind": "skill", "official": false, "desc": "Use this skill when a client or prospect of your managed IT services (MSP) business asks a general AI question: \"I want to use AI but don't know where to start\", \"how can we use AI\", \"should we be using ChatGPT\", \"we bought Copilot and nobody uses it\", \"is Gemini any good\", or \"can AI help my team\". Delivers the AI adoption project. Runs a structured discovery (tools, work, data, comfort), picks three starter use cases, and produces platform-specific workflow cards, prompt templates, and a 30-da", "repo": "https://github.com/RTFM-IT-Services-LLC/msp-claude-skills/tree/HEAD/skills/msp-ai-adoption", "install": ["npx skills add RTFM-IT-Services-LLC/msp-claude-skills --skill msp-ai-adoption"], "stars": 121, "pushed": "2026-11-01T19:29:44Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:joetawil7/first-pass/skills/premortem", "name": "premortem", "kind": "skill", "official": false, "desc": "Run before writing or changing code for any feature, bug fix or refactor that touches data, jobs, money, outside services or user-facing behaviour. Finds where the change will break before it is built, by walking ten named failure classes (twice, halfway, outside call, failure-is-not-empty, neighbors, endings, money, hostile user, words, scale and time) against the code, and writes the answers into the plan. Use when planning a change, when asked to \"think it through\", \"cover the gaps\", \"make su", "repo": "https://github.com/joetawil7/first-pass/tree/HEAD/skills/premortem", "install": ["npx skills add joetawil7/first-pass --skill premortem"], "stars": 121, "pushed": "2026-10-17T22:25:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:joetawil7/first-pass/skills/quick", "name": "quick", "kind": "skill", "official": false, "desc": "Quick mode for the rest of the session. Instead of CI's full checks, a change runs only the checks it can affect (format, lint, types and build, its own tests, and every unit, integration, flow and browser test that reaches the code it touched), and the rest of the suite is left for a full run such as a pull request's CI. Runs only when the user types it, and `/first-pass:quick off` turns it off.", "repo": "https://github.com/joetawil7/first-pass/tree/HEAD/skills/quick", "install": ["npx skills add joetawil7/first-pass --skill quick"], "stars": 121, "pushed": "2026-10-17T22:25:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/spec-author", "name": "spec-author", "kind": "skill", "official": false, "desc": "Write an executable specification under docs/graph/specs/ that turns a clear goal into testable contracts. Use whenever a feature, endpoint, job, significant function, or AI interaction needs a contract that the tester can encode and the implementer can satisfy. Coordinates product (§3, §9), architect (§4, §6, §7), and tester (§10 testability review) into a single signed-off document. Specs are the source of truth for behavior (`rule.spec`).", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/spec-author", "install": ["npx skills add llopresto87/Cypress --skill spec-author"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/test-first", "name": "test-first", "kind": "skill", "official": false, "desc": "Decide whether a test is owed (a named victim; logic that can be wrong while the code is present) and shape the tests that are, at the lowest level that exercises the behavior, one outcome each. The workflow itself (entry conditions, RED-GREEN-REFACTOR-COMMIT gates, variants, exceptions) is the test-first protocol.", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/test-first", "install": ["npx skills add llopresto87/Cypress --skill test-first"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/toolcraft", "name": "toolcraft", "kind": "skill", "official": false, "desc": "Doctrine (kernel §3.8) — when an operation will recur across independent sessions, the unit of work is a durable, tested, cataloged tool, not a throwaway script. Defines what counts as a durable tool, what stays disposable, the procedure sibling (a project skill), and the fail-closed rule that a task is incomplete until a durable tool is cataloged or recorded absent. authoring a tool is agent.tool-smith; cataloging one happens inside the single canonize close-out spawn. This node is the rule bot", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/toolcraft", "install": ["npx skills add llopresto87/Cypress --skill toolcraft"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aph199686/zhangyi-studio/skills/zhangyi-probe", "name": "zhangyi-probe", "kind": "skill", "official": false, "desc": "张翼验证探针：用只读模拟脚本对机制做结构性验证——假设预登记、种子与样本量协议、置信区间下界闸门、指标口径审查、独立复现。铁律：探针能否决结构问题，永远不能证明好玩。输出探针裁决书。Use when the user wants to simulate/test/verify a mechanic with data, run balance simulations, validate a design numerically, or asks whether a system will work. 用户想用数据模拟验证机制、跑平衡测试、做数值验证、或问'这个系统跑起来会怎么样'时使用。", "repo": "https://github.com/aph199686/zhangyi-studio/tree/HEAD/skills/zhangyi-probe", "install": ["npx skills add aph199686/zhangyi-studio --skill zhangyi-probe"], "stars": 118, "pushed": "2026-10-17T20:23:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aph199686/zhangyi-studio/skills/zhangyi-review", "name": "zhangyi-review", "kind": "skill", "official": false, "desc": "张翼审查收尾：发布前或阶段节点的全面审查——范围与证据口径先行、六级结论分级、每条结论带证据引用、执行摘要与'未来两周 N 件事'。输出审查裁决书。Use when the user prepares for release/launch, wants a full project audit, checks store/platform readiness, reviews builds/CI/saves/rights, or asks whether the project is ready. 用户准备上架发布、想做全面项目审查、检查平台就绪度、核查构建/CI/存档/权利链、或问'现在能发了吗'时使用。", "repo": "https://github.com/aph199686/zhangyi-studio/tree/HEAD/skills/zhangyi-review", "install": ["npx skills add aph199686/zhangyi-studio --skill zhangyi-review"], "stars": 118, "pushed": "2026-10-17T20:23:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:trina-app/trina-ax/resources/skill-packs/work/en/humanizer", "name": "humanizer", "kind": "skill", "official": false, "desc": "Natural writing — rewrites text that reads as AI-generated so it sounds like a person wrote it, or points out the patterns that give it away. For posts, emails, proposals, reports and notices. Every fact, number, name and condition stays exactly as it was.", "repo": "https://github.com/trina-app/trina-ax/tree/HEAD/resources/skill-packs/work/en/humanizer", "install": ["npx skills add trina-app/trina-ax --skill humanizer"], "stars": 117, "pushed": "2026-11-14T05:52:10Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:trina-app/trina-ax/resources/skill-packs/work/ko/humanizer", "name": "humanizer", "kind": "skill", "official": false, "desc": "자연스러운 글 — AI가 쓴 티가 나는 한국어 글을 사람이 쓴 것처럼 다듬거나, 장르에 맞는 제목·문구를 새로 써요. 블로그, 유튜브·쇼츠 제목, 인스타그램 캡션, 제안서·보고서, 보도자료·공지에 써요. 숫자, 날짜, 이름, 조건은 하나도 바꾸지 않아요.", "repo": "https://github.com/trina-app/trina-ax/tree/HEAD/resources/skill-packs/work/ko/humanizer", "install": ["npx skills add trina-app/trina-ax --skill humanizer"], "stars": 117, "pushed": "2026-11-14T05:52:10Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:fainshare/Liam-Skills/skills/bayes", "name": "bayes", "kind": "skill", "official": false, "desc": "Verify（验证·太虚三转·叩实）: decompose conclusion → testable predictions → external data validation. Use when user says \"验证\", \"贝叶斯\", \"bayes\", \"靠谱吗\", \"深挖\", \"/bayes\".", "repo": "https://github.com/fainshare/Liam-Skills/tree/HEAD/skills/bayes", "install": ["npx skills add fainshare/Liam-Skills --skill bayes"], "stars": 116, "pushed": "2026-08-12T03:35:36Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:fainshare/Liam-Skills/skills/debono", "name": "debono", "kind": "skill", "official": false, "desc": "Recover（归真·太虚五转）：被过度批判命题的最强存活论证。触发词：归真, debono, 价值回溯, 被过度批判, 黄帽, 再想想, /debono.", "repo": "https://github.com/fainshare/Liam-Skills/tree/HEAD/skills/debono", "install": ["npx skills add fainshare/Liam-Skills --skill debono"], "stars": 116, "pushed": "2026-08-12T03:35:36Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:fainshare/Liam-Skills/skills/feynman", "name": "feynman", "kind": "skill", "official": false, "desc": "Audit（审查·太虚四转·破妄）: six self-deception principles via blind sub-agent. Use when user says \"审查\", \"费曼\", \"feynman\", \"提交前把关\", \"反自欺\", \"/feynman\".", "repo": "https://github.com/fainshare/Liam-Skills/tree/HEAD/skills/feynman", "install": ["npx skills add fainshare/Liam-Skills --skill feynman"], "stars": 116, "pushed": "2026-08-12T03:35:36Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:fainshare/Liam-Skills/skills/hegel", "name": "hegel", "kind": "skill", "official": false, "desc": "迭代收敛（太虚二转·澄源）：链式分析自动循环至稳定。触发词: 收敛, 黑格尔, hegel. Iterative convergence (太虚二转·澄源): chain analyses into auto-cycling pipeline until stable. Use when user says \"收敛\", \"黑格尔\", \"hegel\", \"帮我盘一下\".", "repo": "https://github.com/fainshare/Liam-Skills/tree/HEAD/skills/hegel", "install": ["npx skills add fainshare/Liam-Skills --skill hegel"], "stars": 116, "pushed": "2026-08-12T03:35:36Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:fainshare/Liam-Skills/skills/osborn", "name": "osborn", "kind": "skill", "official": false, "desc": "发散思维（太虚一转·散怀）：想法量、SCAMPER、Stakeholder轮转。触发词: 发散, 开脑洞, 奥斯本. Divergent thinking (太虚一转·散怀): volume of ideas, SCAMPER, stakeholder rotation → idea-pool.md. Use when user says \"发散\", \"开脑洞\", \"奥斯本\", \"osborn\". 即便用户未明确说\"用 osborn\"，当对话出现以下信号时也应主动建议使用：方案只有一条路想扩空间、 团队讨论在同一批想法里打转、方向定了但觉得可能有更好的选择、用户说\"还有别的思路吗\"\"帮我想想还有什么可能\"。 不要等用户说出触发词才启动——识别意图比匹配关键词更重要。", "repo": "https://github.com/fainshare/Liam-Skills/tree/HEAD/skills/osborn", "install": ["npx skills add fainshare/Liam-Skills --skill osborn"], "stars": 116, "pushed": "2026-08-12T03:35:36Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aakashg/pm-claude-skills/skills/prompt-engineer", "name": "prompt-engineer", "kind": "skill", "official": false, "desc": "Use when the user asks to improve, optimize, rewrite, debug, or shorten a prompt, or asks why a prompt is producing bad output. Do NOT use for writing a Claude Code SKILL.md — that needs skill structure rules, not prompt techniques.", "repo": "https://github.com/aakashg/pm-claude-skills/tree/HEAD/skills/prompt-engineer", "install": ["npx skills add aakashg/pm-claude-skills --skill prompt-engineer"], "stars": 116, "pushed": "2026-08-08T02:20:56Z", "license": "MIT", "plat": "prompt engineering", "live": "Not checked (runs locally)"}, {"id": "skill:atsushi-green/ds-ai-coding-skills/.claude/skills/statistical-ml-review", "name": "statistical-ml-review", "kind": "skill", "official": false, "desc": "Use this when reviewing statistical analysis, experiments, model evaluation, or ML work done by someone else (a notebook, PR, or report) — checking that the required context is stated and that every method applied comes with the figures and values required by the matching *-diagnostics skill. When running an analysis yourself, apply the matching *-diagnostics skill directly.", "repo": "https://github.com/atsushi-green/ds-ai-coding-skills/tree/HEAD/.claude/skills/statistical-ml-review", "install": ["npx skills add atsushi-green/ds-ai-coding-skills --skill statistical-ml-review"], "stars": 116, "pushed": "2026-10-04T09:46:10Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:lokikill123/codex-token-skills/skills/token-saver", "name": "token-saver", "kind": "skill", "official": false, "desc": "Minimize token consumption & maximize prompt cache hit rate. Use when user asks to save tokens, reduce cost, improve cache hit rate, or be more concise.", "repo": "https://github.com/lokikill123/codex-token-skills/tree/HEAD/skills/token-saver", "install": ["npx skills add lokikill123/codex-token-skills --skill token-saver"], "stars": 116, "pushed": "2026-06-15T12:08:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:reporails/cli", "name": "cli", "kind": "mcp", "official": null, "desc": "AI Instructions Diagnostics | Supported agents: Claude | Codex | Copilot | Cursor | Gemini", "repo": "https://github.com/reporails/cli", "install": [], "stars": 115, "pushed": null, "license": null, "plat": "claude, codex, copilot, cursor, gemini", "live": "Not checked (runs locally)"}, {"id": "mcp:dev.silvertongue/silvertongue", "name": "Silvertongue: Write Like Anyone Famous", "kind": "mcp", "official": null, "desc": "Famous writing voices for your agent. Find one, read how it was studied, write in it.", "repo": "https://github.com/auscaster/silvertongue", "install": ["https://mcp.silvertongue.dev/mcp"], "stars": 115, "pushed": "2026-11-13T03:57:23Z", "license": "Apache-2.0", "plat": "writing voices", "live": "Live · 1492 ms · 4 tools · free to try: `get_voice_packet` answered without a key (checked 2026-11-13)"}, {"id": "skill:extruct-ai/gtm-skills/skills/hypothesis-building", "name": "hypothesis-building", "kind": "skill", "official": false, "desc": "Generate testable pain hypotheses from the company context file (ICP, win cases, product knowledge) and user input. Fast, no API keys needed — pure reasoning. Outputs a hypothesis set with search angles that directly guide list-building queries. Sits between context-building and list-building. Triggers on: \"build hypotheses\", \"hypothesis set\", \"pain hypotheses\", \"define hypotheses\", \"what pain points\", \"campaign angles\", \"search angles\", \"refine hypotheses\".", "repo": "https://github.com/extruct-ai/gtm-skills/tree/HEAD/skills/hypothesis-building", "install": ["npx skills add extruct-ai/gtm-skills --skill hypothesis-building"], "stars": 113, "pushed": "2026-09-28T15:59:36Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.avivsinai/langfuse-mcp", "name": "Langfuse MCP", "kind": "mcp", "official": null, "desc": "Langfuse MCP server for accessing and analyzing telemetry data via natural language", "repo": "https://github.com/avivsinai/langfuse-mcp", "install": ["pypi:langfuse-mcp"], "stars": 112, "pushed": "2026-11-06T19:23:35Z", "license": "MIT", "plat": "langfuse", "live": "Not checked (runs locally)"}, {"id": "skill:FeedHive/ai-slop-detector/skills/ai-slop-detector", "name": "ai-slop-detector", "kind": "skill", "official": false, "desc": "Write without AI slop, or check a draft for it. Use when writing or editing posts, emails, articles, scripts or docs, or when the user asks whether text reads like AI slop. Covers 120 patterns in 9 categories.", "repo": "https://github.com/FeedHive/ai-slop-detector/tree/HEAD/skills/ai-slop-detector", "install": ["npx skills add FeedHive/ai-slop-detector --skill ai-slop-detector"], "stars": 111, "pushed": "2026-10-12T09:38:53Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ChronulusAI/chronulus-mcp", "name": "chronulus-mcp", "kind": "mcp", "official": null, "desc": "MCP Server for Chronulus AI Forecasting and Prediction Agents", "repo": "https://github.com/ChronulusAI/chronulus-mcp", "install": [], "stars": 111, "pushed": null, "license": null, "plat": "chronulus ai", "live": "Not checked (runs locally)"}, {"id": "skill:tronghieu/agent-skills/skills/critical-thinking", "name": "critical-thinking", "kind": "skill", "official": false, "desc": "Audit the reasoning of a document or argument (memo, proposal, investment analysis, board paper, article, the user's own draft): claims, evidence, unstated assumptions, logical gaps, fallacies, and what would falsify it, each anchored to quoted text. Use whenever the user wants reasoning examined, in any language (\"audit this argument\", \"is this analysis sound\", \"poke holes in this proposal\", \"review the logic of my draft\"; Vietnamese \"phản biện giúp tôi\", \"soi lập luận này\", \"tài liệu này có lỗ", "repo": "https://github.com/tronghieu/agent-skills/tree/HEAD/skills/critical-thinking", "install": ["npx skills add tronghieu/agent-skills --skill critical-thinking"], "stars": 110, "pushed": "2026-10-31T08:58:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:dx-corp/deep-code-reasoning-mcp", "name": "deep-code-reasoning-mcp", "kind": "mcp", "official": null, "desc": "A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI", "repo": "https://github.com/dx-corp/deep-code-reasoning-mcp", "install": [], "stars": 109, "pushed": null, "license": null, "plat": "google's gemini ai", "live": "Not checked (runs locally)"}, {"id": "skill:pillar-labs/sail-skill/sail/skills/sail", "name": "sail", "kind": "skill", "official": false, "desc": "Apply the SAIL (Secure AI Lifecycle) V2 framework by Pillar Security to secure AI applications and agents. Use this skill whenever the user asks about AI or agent security — assessing an AI system or agent architecture for risks, building an AI security roadmap or maturity assessment, writing or reviewing an AI security policy, creating compliance checklists (ISO/IEC 42001, EU AI Act, OWASP LLM/Agentic, DASF, AIUC-1), prioritizing AI security controls, evaluating AI vendors or tools (RFPs, secur", "repo": "https://github.com/pillar-labs/sail-skill/tree/HEAD/sail/skills/sail", "install": ["npx skills add pillar-labs/sail-skill --skill sail"], "stars": 108, "pushed": "2026-07-07T16:12:12Z", "license": "NOASSERTION", "plat": "pillar security", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Rai220/think-mcp", "name": "think-mcp", "kind": "mcp", "official": null, "desc": "MCP Server for reasoning", "repo": "https://github.com/Rai220/think-mcp", "install": [], "stars": 108, "pushed": null, "license": null, "plat": "mcp server", "live": "Not checked (runs locally)"}, {"id": "skill:zanecole10/software-tailor-skills/16-10x-vision", "name": "10x-vision", "kind": "skill", "official": false, "desc": "Strategic amplification mode that reveals blind spots, untapped opportunities, and hidden leverage points in any business strategy, entrepreneurship idea, or creative content project. Cuts through noise to show what others miss.", "repo": "https://github.com/zanecole10/software-tailor-skills/tree/HEAD/16-10x-vision", "install": ["npx skills add zanecole10/software-tailor-skills --skill 10x-vision"], "stars": 107, "pushed": "2025-10-31T02:42:36Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:zanecole10/software-tailor-skills/12-competitor-analysis-positioning", "name": "competitor-analysis-positioning", "kind": "skill", "official": false, "desc": "Analyze existing SaaS competitors, identify gaps they're missing, craft unique positioning, and develop talking points to overcome \"why not just use [SaaS product]?\" objections.", "repo": "https://github.com/zanecole10/software-tailor-skills/tree/HEAD/12-competitor-analysis-positioning", "install": ["npx skills add zanecole10/software-tailor-skills --skill competitor-analysis-positioning"], "stars": 107, "pushed": "2025-10-31T02:42:36Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:TheOrcDev/skills/skills/anti-slop-checklist", "name": "anti-slop-checklist", "kind": "skill", "official": false, "desc": "Anti-slop rules for AI agents building or reviewing UI. Use before shipping a landing page or any AI-generated interface, or when the user says \"anti-slop\", \"check for slop\", or \"does this look AI-made\".", "repo": "https://github.com/TheOrcDev/skills/tree/HEAD/skills/anti-slop-checklist", "install": ["npx skills add TheOrcDev/skills --skill anti-slop-checklist"], "stars": 106, "pushed": "2026-11-02T11:56:20Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Jakeschincariol/seed-skill/seed-coach", "name": "seed-coach", "kind": "skill", "official": false, "desc": "Pitch Coach. Rehearses the investor call with you: drills the hard questions investors ask (market, competition, traction, unit economics, team, why now, risks, the ask), tailored to your own numbers from the competitor scout, the financial model, the market size and the investor you are meeting (\"Rover has 515,771 ratings. Why will owners switch?\"), grades your written answers (a number, specifics, no hedging, under a minute spoken, answer first) and writes a 20-minute plan for a booked first c", "repo": "https://github.com/Jakeschincariol/seed-skill/tree/HEAD/seed-coach", "install": ["npx skills add Jakeschincariol/seed-skill --skill seed-coach"], "stars": 106, "pushed": "2026-11-01T19:51:51Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jha0313/skills_repo/ai-readiness-cartography", "name": "ai-readiness-cartography", "kind": "skill", "official": false, "desc": "Audits any repository against the v2 AI-Ready rubric (100 pts · 7 categories — Navigation, Context Quality, Tribal Knowledge, Dependency Mapping, Verification Gates, Freshness, Agent Outcomes) and produces a professional single-file HTML dashboard plus an ROI-ranked action list. The skill bundles a Python scorer (`scripts/score.py`) that auto-detects coverage, hallucinated paths, drift, and god files. Trigger whenever the user asks for an \"AI-readiness 지도\", \"AI-ready 시각화\", \"repo cartography\", \"c", "repo": "https://github.com/jha0313/skills_repo/tree/HEAD/ai-readiness-cartography", "install": ["npx skills add jha0313/skills_repo --skill ai-readiness-cartography"], "stars": 105, "pushed": "2026-09-22T07:33:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jha0313/skills_repo/ai-readiness-cartography-en", "name": "ai-readiness-cartography-en", "kind": "skill", "official": false, "desc": "Audits any repository against the v2 AI-Ready rubric (100 pts · 7 categories — Navigation, Context Quality, Tribal Knowledge, Dependency Mapping, Verification Gates, Freshness, Agent Outcomes) and produces a professional single-file HTML dashboard plus an ROI-ranked action list. The skill bundles a Python scorer (`scripts/score.py`) that auto-detects coverage, hallucinated paths, drift, and god files. Trigger whenever the user asks for an \"AI-readiness map\", \"AI-ready visualization\", \"repo carto", "repo": "https://github.com/jha0313/skills_repo/tree/HEAD/ai-readiness-cartography-en", "install": ["npx skills add jha0313/skills_repo --skill ai-readiness-cartography-en"], "stars": 105, "pushed": "2026-09-22T07:33:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jha0313/skills_repo/eval-writer", "name": "eval-writer", "kind": "skill", "official": false, "desc": "설치된 에이전트 스킬의 재현 가능한 평가 기준을 작성·개선·검증한다. 스킬 평가나 변경 전에 eval 사례, 테스트 시나리오, 수준별 루브릭, 부정 라우팅, 도구 mock fixture를 작성할 때 사용한다. 검토한 기준과 실행 인계를 만들며 스키마 유효성을 실제 스킬 평가 통과로 해석하지 않는다.", "repo": "https://github.com/jha0313/skills_repo/tree/HEAD/eval-writer", "install": ["npx skills add jha0313/skills_repo --skill eval-writer"], "stars": 105, "pushed": "2026-09-22T07:33:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:jha0313/skills_repo/skill-evaluator", "name": "skill-evaluator", "kind": "skill", "official": false, "desc": "설치된 Claude Code 스킬을 처음부터 끝까지 평가한다. 스킬 자체의 계약에서 테스트 사례를 생성하고, 격리 세션에서 실행하고, 기록된 근거를 독립 채점자가 채점해 사례별 PASS/FAIL을 인용 근거와 함께 보고한다. 스킬 품질, 호출 정확성, 회귀, 스킬 변경 전후 비교를 요청할 때 사용한다.", "repo": "https://github.com/jha0313/skills_repo/tree/HEAD/skill-evaluator", "install": ["npx skills add jha0313/skills_repo --skill skill-evaluator"], "stars": 105, "pushed": "2026-09-22T07:33:37Z", "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:datawhalechina/ai-skills-for-everyone/skills/weekly-status", "name": "weekly-status", "kind": "skill", "official": false, "desc": "Generate grounded Chinese weekly reports, project status updates, or leader-facing progress summaries from loose notes, task records, meeting notes, commits, chat excerpts, or short bullet lists. Use when the user asks to write a weekly report, status update, work summary, project update, manager update, 本周总结, 周报, 日报转周报, or turn scattered work notes into a clear office-ready update for a direct manager, leader, or project owner.", "repo": "https://github.com/datawhalechina/ai-skills-for-everyone/tree/HEAD/skills/weekly-status", "install": ["npx skills add datawhalechina/ai-skills-for-everyone --skill weekly-status"], "stars": 105, "pushed": "2026-06-02T14:04:46Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dontbesilent2025/claude-skills/skills/lacan", "name": "lacan", "kind": "skill", "official": false, "desc": "拉康式精神分析对话。用拉康理论框架（大他者、欲望、幻象、能指链）进行分析式对话。 触发方式：/lacan、「拉康」、「精神分析对话」 Lacanian psychoanalysis dialogue using Lacanian framework (big Other, desire, fantasy, signifier chain). Trigger: /lacan, \"Lacanian analysis\", \"psychoanalysis dialogue\"", "repo": "https://github.com/dontbesilent2025/claude-skills/tree/HEAD/skills/lacan", "install": ["npx skills add dontbesilent2025/claude-skills --skill lacan"], "stars": 103, "pushed": "2026-04-01T10:10:44Z", "license": null, "plat": "lacanian psychoanalysis", "live": "Not checked (runs locally)"}, {"id": "skill:jinhanbuilds/hoist-the-elephant/skills/hoist-the-elephant", "name": "hoist-the-elephant", "kind": "skill", "official": false, "desc": "仅在用户明确调用 `$hoist-the-elephant` 时使用。把因连续纠正和局部过拟合而偏离主线的长对话拉回正轨：暂停当前推进，回溯对话中真正支配任务的目标和已经形成的认识，重新建立后续工作的依据。", "repo": "https://github.com/jinhanbuilds/hoist-the-elephant/tree/HEAD/skills/hoist-the-elephant", "install": ["npx skills add jinhanbuilds/hoist-the-elephant --skill hoist-the-elephant"], "stars": 102, "pushed": "2026-08-24T05:00:32Z", "license": "MIT", "plat": "hoist-the-elephant", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/opportunity-scorecard", "name": "opportunity-scorecard", "kind": "skill", "official": false, "desc": "为产品想法取证并评分，判断值不值得继续验证。用户要评判想法、打分或判断机会（如「帮我给这个想法打个分」「这个机会值不值得做」）时调用；不发现机会、不写 PRD。综合分一律脚本机器产出。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/opportunity-scorecard", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill opportunity-scorecard"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/product-brief", "name": "product-brief", "kind": "skill", "official": false, "desc": "把一句需求或评分卡转成可验收的 PRD 与执行计划。用户要写产品需求、界定 MVP、拆里程碑（如「帮我把这个需求写成 PRD」）时调用；不打分、不编码、不替用户批准。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/product-brief", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill product-brief"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/reverse-teardown", "name": "reverse-teardown", "kind": "skill", "official": false, "desc": "反向拆解：拿到一个具体的优秀成品（UI 界面/交互、App/网页、代码模块或架构、方案文档、Prompt/技能、流程、看板、作品），还原它「解决什么问题、服务谁、用什么结构、哪些关键选择拉开了质量差距、完成标准是什么」，最终交付可搬走的规律、仅适用本案的细节、可照做的操作清单和一个最小练习。触发词：拆解、拆一下、好在哪、它为什么好、学它怎么做、逆向分析、分析下这个设计/方案/代码好在哪。用户说「这个 App/页面/方案不错，我们能学什么」「拆一下 Netflix/XX 的设计」「别人这个技能/prompt 写得好，好在哪」时使用。不适用：只想要事实摘要或讲透一个概念（走 feynman-explainer）、评判一篇文章或观点的论证是否成立、有没有被忽悠（那是批判性阅读/论证分析，不是拆解成品）、为产品机会找证据（走 opportunity-radar）、自己写一份新方案（走 product-brief）、主观夸/挑刺而不产出可执行规律、对象是抽象概念而非具体成品。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/reverse-teardown", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill reverse-teardown"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/root-rethink", "name": "root-rethink", "kind": "skill", "official": false, "desc": "归本重推（Root Rethink）：当现有方案陷入打补丁、路径依赖或本行业常规做法解不开卡点时，把问题拆回不可绕开的基本事实、未经验证的假设、真正目标与现实约束，从根上重新推导路径；向内重推解不开时，再切换跨领域借解模式，把问题抽象成底层结构，从相距较远的领域找可迁移机制。理论基础是第一性原理（First Principles，亚里士多德提出，区别于类比推理）与跨域机制迁移。触发：「我们是不是一直在打补丁」「回到本质/从第一性原理重新想」「别按行业惯例，从零推一遍该怎么做」「这个卡点常规法子解不开，别的领域有没有类似机制」。不适用：两个现成方案选哪个（走 steelman-choice）、核一条说法真伪（走 claim-check）、读文章论证（走 argument-reading）、读优秀成品学做法（走 reverse-teardown）、问题本身还没定义清楚（先澄清）、代码里的具体 bug/补丁根因（用工程环境自带的根因流程）。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/root-rethink", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill root-rethink"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/sansi-erhouxing", "name": "sansi-erhouxing", "kind": "skill", "official": false, "desc": "三思而后行：改任何已成形文档之前，先看全文骨架再动手，别只盯一段、别补丁摞补丁。用户说「改稿/加一节/精简润色已有段落/按评审意见改」时用。小改有投入闸门：≤3 句的微调只列影响面、免通读全文。前置动作技能，跟写作/改稿技能并行不占名额；从零新写、一句话答疑不启用。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/sansi-erhouxing", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill sansi-erhouxing"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/skill-library-keeper", "name": "skill-library-keeper", "kind": "skill", "official": false, "desc": "技能管家：管理一组可迁移的个人技能集合——决定要不要新增技能（准入闸门）、检查技能之间配合是否健康（撞车/孤儿/单点/平台硬绑定/版本漂移）、规划新技能在体系里的位置与上下游、以及对外部技能做「直接用/炼化/重造」决策。触发：「我要不要为这个做一个新技能」「评估下能不能加这个技能」「给技能库做个体检/检查有没有重复和冲突」「这些技能之间会不会打架」「这个外部技能要不要收进来」「新建/炼化技能前先把关」「技能越来越多怎么管理」。不适用：调研某个 GitHub 项目/论文/外部提示词工程实践（哪怕主题就是“技能/Agent/提示词怎么写”）——那是 `feynman-explainer` 的调研，本技能只在你要治理「自己这套已安装技能集合」时才用，不提供研究外部资料的方法论；编写单个技能正文的方法（若宿主提供 skill-creator 类技能，按它的规范写，本技能负责库级把关并把结论交给它落地）、执行具体同步分发（由库的同步脚本负责）、管理公司内部或第三方安装的技能（默认只管理用户自有集合，范围可配置但不写死路径）。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/skill-library-keeper", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill skill-library-keeper"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/steelman-choice", "name": "steelman-choice", "kind": "skill", "official": false, "desc": "钢人抉择（Steelman Choice）：当两个（或少数几个）方案/选项都讲得通、在犹豫选哪个时，先把每一边重建到它最强、最难被反驳的样子再做决断。理论基础是善意原则（Principle of Charity）与钢人论证（Steelman Argument，稻草人论证的反面）。触发：「A 和 B 选哪个」「两边都有道理」「帮我把两边都说到最强再决定」「我纠结/犹豫这两个方案」「别着急站队，先替我把反方想透」「先重构还是继续堆功能」「X vs Y 我拍不了板，先把两边想透」。不适用：只有一个方案要找根本新解（走 first-principles 类方法）、给单个想法打分（走 opportunity-scorecard）、核查某条说法真伪（走 claim-check）、事实不足需要检索（先走 outside-view）、读整篇文章的论证质量（走 argument-reading）、让 AI 替用户拍板（本技能只结构化决策，决定权在用户）、只有一个选项无所谓抉择。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/steelman-choice", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill steelman-choice"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/style-compass", "name": "style-compass", "kind": "skill", "official": false, "desc": "把已有 PRD 或一句需求做成可交互 UI 原型、设计 tokens 与开发规格。做产品界面设计、视觉方向选择、页面加改版、现有页面评审（如「帮我把这个页面做个可点原型」）时用；纯落地页和通用出图不走这里，也不做需求发现。可独立使用；明确进入 OPC 时服从其输入、审批和编排。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/style-compass", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill style-compass"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/talk-smith", "name": "talk-smith", "kind": "skill", "official": false, "desc": "把技术主题做成讲给别人听的分享——技术分享/博客/演讲稿/slides、个人工程实践、经验传播、项目复盘、技术成果及工作总结（内外都接，可严肃无幽默）。普通研究报告/机制解读/选型研判（哪怕对外发布）归 feynman-explainer；短观点硬文归 cuihuo；评审方案/RFC 归 engineering-docs；行政周报等非技术写作不接。用户说「写篇技术分享」「讲讲我的实践/复盘」时用。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/talk-smith", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill talk-smith"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/tangshan-style", "name": "tangshan-style", "kind": "skill", "official": false, "desc": "汤山体：把面向未来的想象或极端外推，写成有历史纵深、每句耐嚼的畅想长文（技术题材为主、不限题材——未来城市、远程协作这类非技术推演同样认领；如 Token 战争、AGI 畅想）。用户说「写篇畅想文」「把这个未来推演写成文章」「用汤山体写/改」时用。边界：讲清/搞懂已存在的东西走 feynman-explainer；直抒胸臆的技术观点硬判断走 cuihuo；纯翻译不启用，只问一句定义轻答即可，明确要求成文（「就按提纲写个畅想」）按最新任务重判。触发词：畅想、畅想文、天马行空、未来推演、Token战争、AGI畅想、汤山体、写活、炼句。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/tangshan-style", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill tangshan-style"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Job-Yang/jobyang-ai-skills/skills/vdd", "name": "vdd", "kind": "skill", "official": false, "desc": "面向验证的开发（VDD）的完整方法，也是 VDD 理论的最小可复现证明——装上它，任何一个光秃秃的 Agent 都能立刻跑出\"不乱报喜、不硬挤问题、敢说没问题\"的效果，亲身验到 VDD 真的有用。它做的是：在你说\"我懂了\"\"做完了\"\"搞定了\"\"没问题\"之前，先逼自己走一遍验证，把爱报喜、没做好也说做好了的毛病摁住；同时在多轮、大改动里守住一把不随对话漂移的尺子，既不放过真问题，也不为了显得勤奋硬挤问题、过度修改。任何一次改代码、查 bug、给结论、下判断、回答一个你没十足把握的问题时都该用，尤其是你正准备说\"完成了\"\"应该没问题了\"\"我明白你的意思了\"、或者被要求\"整体 review 一下\"\"从全局看看有没有问题\"的时候。也适用于用户明确要求\"验一下\"\"你确定吗\"\"VDD 走一遍\"\"自证一下\"\"别急着说完成\"。别只在被点名时才用；只要你即将声称一件事做成了、或即将采信一个前提、或即将对一大片改动下\"有没有问题\"的判断，就主动走这套流程。这套方法完全靠你自己就能执行，不依赖任何外部工具或环境。", "repo": "https://github.com/Job-Yang/jobyang-ai-skills/tree/HEAD/skills/vdd", "install": ["npx skills add Job-Yang/jobyang-ai-skills --skill vdd"], "stars": 102, "pushed": "2026-11-06T12:41:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:omergocmen/vibe-coder-kit/.agent/skills/architecture-review", "name": "architecture-review", "kind": "skill", "official": false, "desc": "Before committing to an implementation plan, run this skill to stress-test the proposed architecture. Catches over-engineering, circular dependencies, missing failure modes, security gaps, and scalability cliffs — before any code is written. Acts as a \"second eye\" on the plan.", "repo": "https://github.com/omergocmen/vibe-coder-kit/tree/HEAD/.agent/skills/architecture-review", "install": ["npx skills add omergocmen/vibe-coder-kit --skill architecture-review"], "stars": 101, "pushed": "2026-06-04T11:47:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:fabio-rovai/brain-in-the-fish", "name": "brain-in-the-fish", "kind": "mcp", "official": null, "desc": "Score any document. Prove every claim. ", "repo": "https://github.com/fabio-rovai/brain-in-the-fish", "install": [], "stars": 101, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:omergocmen/vibe-coder-kit/.agent/skills/code-review", "name": "code-review", "kind": "skill", "official": false, "desc": "Systematic code review skill covering both requesting a review (pre-commit checklist) and receiving and responding to review feedback. Checks code quality, security, test coverage, architectural alignment, and documentation before any code is committed.", "repo": "https://github.com/omergocmen/vibe-coder-kit/tree/HEAD/.agent/skills/code-review", "install": ["npx skills add omergocmen/vibe-coder-kit --skill code-review"], "stars": 101, "pushed": "2026-06-04T11:47:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:obie/skills/skills/decision-docket", "name": "decision-docket", "kind": "skill", "official": false, "desc": "Keep one standing page of every decision you need from the user, each written so it can be answered cold: what happened, why it's their call, the options with their cost and gain, your recommendation, and what happens if they do nothing. The user records answers on the page; you read them back on each check-in, act, log the ruling, and remove the card. Use during long-running or autonomous work, when the user moves between threads and a question buried in a chat reply would be lost, when they sa", "repo": "https://github.com/obie/skills/tree/HEAD/skills/decision-docket", "install": ["npx skills add obie/skills --skill decision-docket"], "stars": 101, "pushed": "2026-10-20T12:09:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:obie/skills/skills/deletion-test", "name": "deletion-test", "kind": "skill", "official": false, "desc": "Run the regenerative-software deletion test on one component: extract its intent and decision records from code, history, and tickets; write a durable contract spec that asserts promises rather than pinned numbers; mutation-test both oracles; delete the implementation and regenerate it in isolated arms from the intent alone; score every candidate by behavioral diff; write findings that name evaluation gaps, leaked provenance, dead decisions, and compaction candidates. Use when asked to run the d", "repo": "https://github.com/obie/skills/tree/HEAD/skills/deletion-test", "install": ["npx skills add obie/skills --skill deletion-test"], "stars": 101, "pushed": "2026-10-20T12:09:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:omergocmen/vibe-coder-kit/.agent/skills/dependency-audit", "name": "dependency-audit", "kind": "skill", "official": false, "desc": "Periodically scan project dependencies for security vulnerabilities, outdated packages, and unused dependencies. Produces a prioritized action report. Run before every major release and at least once per month.", "repo": "https://github.com/omergocmen/vibe-coder-kit/tree/HEAD/.agent/skills/dependency-audit", "install": ["npx skills add omergocmen/vibe-coder-kit --skill dependency-audit"], "stars": 101, "pushed": "2026-06-04T11:47:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:omergocmen/vibe-coder-kit/.agent/skills/documentation-sync", "name": "documentation-sync", "kind": "skill", "official": false, "desc": "After any significant code change — new feature, API modification, config change, or architectural refactor — run this skill to identify which documentation files are now stale and update them. Keeps docs and code from drifting apart.", "repo": "https://github.com/omergocmen/vibe-coder-kit/tree/HEAD/.agent/skills/documentation-sync", "install": ["npx skills add omergocmen/vibe-coder-kit --skill documentation-sync"], "stars": 101, "pushed": "2026-06-04T11:47:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:omergocmen/vibe-coder-kit/.agent/skills/incident-response", "name": "incident-response", "kind": "skill", "official": false, "desc": "When something breaks in production: triage the severity, gather evidence, identify root cause, deploy a fix or mitigation, and write a post-mortem. Provides a calm, structured process for high-stress moments.", "repo": "https://github.com/omergocmen/vibe-coder-kit/tree/HEAD/.agent/skills/incident-response", "install": ["npx skills add omergocmen/vibe-coder-kit --skill incident-response"], "stars": 101, "pushed": "2026-06-04T11:47:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:armelhbobdad/bmad-module-skill-forge/src/skf-verify-stack", "name": "skf-verify-stack", "kind": "skill", "official": false, "desc": "Pre-code stack feasibility verification against architecture and PRD documents. Use when the user requests to \"verify a tech stack\" or \"verify stack.", "repo": "https://github.com/armelhbobdad/bmad-module-skill-forge/tree/HEAD/src/skf-verify-stack", "install": ["npx skills add armelhbobdad/bmad-module-skill-forge --skill skf-verify-stack"], "stars": 101, "pushed": "2026-11-14T05:39:38Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:omergocmen/vibe-coder-kit/.agent/skills/test-driven-execution", "name": "test-driven-execution", "kind": "skill", "official": false, "desc": "Before writing any implementation code, define the acceptance criteria and test cases that the code must satisfy. Agents then write code to pass these tests — not to match a vague description. Eliminates \"it works on my machine\" and \"I think this is what you wanted\" outcomes.", "repo": "https://github.com/omergocmen/vibe-coder-kit/tree/HEAD/.agent/skills/test-driven-execution", "install": ["npx skills add omergocmen/vibe-coder-kit --skill test-driven-execution"], "stars": 101, "pushed": "2026-06-04T11:47:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:bushrabeg/turkce-humanizer", "name": "turkce-humanizer", "kind": "skill", "official": false, "desc": "Türkçe metinlerden AI-üretimi yazım imzalarını temizler ve metnin registeri uygunsa insan Türkçesinin ritim imzalarını yerleştirir. \"Türkçeleştir,\" \"AI kokusunu at,\" \"bu Türkçe metni doğallaştır,\" \"humanize et\" gibi ifadelerle veya AI-üretimi görünen Türkçe paragraf sunulduğunda tetiklenir.", "repo": "https://github.com/bushrabeg/turkce-humanizer", "install": ["npx skills add bushrabeg/turkce-humanizer --skill turkce-humanizer"], "stars": 101, "pushed": "2026-08-23T07:11:58Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "plugin:anthropics/claude-plugins-official:mlflow", "name": "mlflow", "kind": "claude-plugin", "official": null, "desc": "Skills for tracing, evaluating, and improving AI agents with MLflow. 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Any LLM.", "repo": "https://github.com/HZYAI/RagScore", "install": ["pypi:ragscore"], "stars": 15, "pushed": "2026-05-29T03:34:45Z", "license": "Apache-2.0", "plat": "any llm", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.emergent-wisdom/semahash", "name": "io.github.emergent-wisdom/semahash", "kind": "mcp", "official": null, "desc": "Content-addressed semantics: fail-closed handshakes over 617 cognitive patterns.", "repo": "https://github.com/emergent-wisdom/sema", "install": ["pypi:semahash"], "stars": 14, "pushed": "2026-11-12T19:39:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.papersflow-ai/papersflow", "name": "PapersFlow", "kind": "mcp", "official": null, "desc": "Academic research MCP server for paper search, citation checks, graphs, and deep research.", "repo": "https://github.com/papersflow-ai/papersflow-mcp", "install": ["https://doxa.papersflow.ai/mcp"], "stars": 14, "pushed": "2026-03-11T23:39:21Z", "license": "MIT", "plat": "academic research", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:io.github.Archerkattri/mathlas", "name": "io.github.Archerkattri/mathlas", "kind": "mcp", "official": null, "desc": "Airtight math for AI agents: 3.68M-doc theorem search + numeric/Lean verification. 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["npm:@bam-devcrew/maxential-thinking-mcp"], "stars": 3, "pushed": "2026-05-25T19:08:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.chaoz23/srdcheck", "name": "io.github.chaoz23/srdcheck", "kind": "mcp", "official": null, "desc": "Scoped deterministic SRD 5.2.1 rules checks for agents — applied rules cited, boundaries explicit.", "repo": "https://github.com/chaoz23/srdcheck", "install": ["pypi:srdcheck"], "stars": 3, "pushed": "2026-10-21T17:42:19Z", "license": "NOASSERTION", "plat": "srd 5.2.1", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.figuard/figuard-mcp", "name": "io.github.figuard/figuard-mcp", "kind": "mcp", "official": null, "desc": "Pre-flight spend authorization for AI agents. 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