15,571 agent tools in 5 subcategories. See them all in one list ↓
8,852 tools
2,433 tools
2,295 tools
1,830 tools
161 tools
| Tool | Stars | Last update | License | |
|---|---|---|---|---|
| REA Reverse engineer anything from your terminal or agent with one CLI and MCP server. MCP serverGitHub-verified authorLocal · npm | 456,474 | MIT | ||
| ask-matt Ask which skill or flow fits your situation. A router over the skills in this repo. SkillInstall · skills CLI | 323,337 | MIT | ||
| chief-of-staff Pursue a long-running goal in a single session by co-ordinating subagents. SkillInstall · skills CLI | 323,337 | MIT | ||
| claude-handoff Hand the current conversation off to a fresh background agent that picks up the work immediately. SkillInstall · skills CLI | 323,337 | MIT | ||
| grill-me A relentless interview to sharpen a plan or design. SkillInstall · skills CLI | 323,337 | MIT | ||
| grilling Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrase SkillInstall · skills CLI | 323,337 | MIT | ||
| handoff Compact the current conversation into a handoff document for another agent to pick up. SkillInstall · skills CLI | 323,337 | MIT | ||
| loop-me Grill me about specs for the workflows I want to build, within this workspace. SkillInstall · skills CLI | 323,337 | MIT | ||
| mattpocock-skills Matt Pocock's agent skills for real engineering — grilling, spec/ticket flows, TDD, code review, domain modelling and more. Plug-and-play, not vibe co PluginAnthropic marketplace | 323,337 | MIT | ||
| retro Conduct a retrospective on a coding session. SkillInstall · skills CLI | 323,337 | MIT | ||
| software-factory Shared language for designing a software factory: the tasks it runs and the services it plugs into. SkillInstall · skills CLI | 323,337 | MIT | ||
| teach Teach the user a new skill or concept, within this workspace. SkillInstall · skills CLI | 323,337 | MIT | ||
| to-questionnaire Turn a decision you can't fully answer into a questionnaire for someone else to fill in. SkillInstall · skills CLI | 323,337 | MIT | ||
| wait-what Stop. That last message did not land: re-pitch it. SkillInstall · skills CLI | 323,337 | MIT | ||
| writing-beats Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it. SkillInstall · skills CLI | 323,337 | MIT | ||
| writing-for-agents Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md. SkillInstall · skills CLI | 323,337 | MIT | ||
| writing-fragments Writing, explore: mine raw fragments, no structure yet. SkillInstall · skills CLI | 323,337 | MIT | ||
| writing-shape Writing, exploit: shape raw material into an article, paragraph by paragraph. SkillInstall · skills CLI | 323,337 | MIT | ||
| superpowers Superpowers teaches Claude brainstorming, subagent driven development with built in code review, systematic debugging, and red/green TDD. Additionally PluginAnthropic marketplace | 316,900 | MIT | ||
| ECC The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencod MCP server | 303,132 | — | ||
| karpathy-guidelines Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical SkillInstall · skills CLI | 232,934 | — | ||
| academy-guide Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutor SkillOfficial · AnthropicInstall · skills CLI | 194,218 | — | ||
| claude-api Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. SkillOfficial · AnthropicInstall · skills CLI | 194,218 | — | ||
| discernment-nudge After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, pr SkillOfficial · AnthropicInstall · skills CLI | 194,218 | — | ||
| mcp-builder Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. SkillOfficial · AnthropicInstall · skills CLI | 194,218 | — | ||
| skill-creator Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or opt SkillOfficial · AnthropicInstall · skills CLI | 194,218 | — | ||
| ponytail-debt List every `shortcut:` comment (and older `ponytail:` ones) as a debt ledger. One-shot report, changes nothing. Use for "ponytail debt", "what did pon SkillInstall · skills CLI | 190,451 | MIT | ||
| ponytail-gain Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the agentic benchmark averages. One-shot display. SkillInstall · skills CLI | 190,451 | MIT | ||
| ponytail-gain Show ponytail's measured savings (code, cost, speed) from the benchmark. One-shot display. Use for /ponytail-gain, "what does ponytail save", "ponytai SkillInstall · skills CLI | 190,451 | MIT | ||
| ponytail-help Quick reference for ponytail's modes, skills, and commands. One-shot display. SkillInstall · skills CLI | 190,451 | MIT | ||
| ponytail-help Quick reference for ponytail levels, skills and commands. One-shot display. Use for /ponytail-help, "ponytail help", "how do I use ponytail". SkillInstall · skills CLI | 190,451 | MIT | ||
| difyctl Operate a Dify server through difyctl: find and run any operation, and build, test, publish and change Workflow and Chatflow apps. Use when the task i SkillInstall · skills CLI | 161,128 | — | ||
| open-webui User-friendly AI Interface (Supports Ollama, OpenAI API, ...) MCP server | 158,670 | — | ||
| cc-switch A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode,DeepSeek Harness and more. Only official website: ccswitch.io MCP server | 154,446 | — | ||
| graphify Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, MCP server | 147,816 | — | ||
| constraint-driven-development Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, suppli SkillInstall · skills CLI | 117,221 | MIT | ||
| context-engineering Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to SkillInstall · skills CLI | 117,221 | MIT | ||
| doubt-driven-development Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when you want every assumption cross-examined before p SkillInstall · skills CLI | 117,221 | MIT | ||
| idea-refine Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need SkillInstall · skills CLI | 117,221 | MIT | ||
| incremental-implementation Delivers changes incrementally in thin, verifiable slices. Use when implementing any feature or change that touches more than one file, or when pickin SkillInstall · skills CLI | 117,221 | MIT | ||
| interview-me Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% c SkillInstall · skills CLI | 117,221 | MIT | ||
| performance-optimization Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performa SkillInstall · skills CLI | 117,221 | MIT | ||
| planning-and-task-breakdown Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels SkillInstall · skills CLI | 117,221 | MIT | ||
| source-driven-development Grounds every implementation decision in official documentation. Use when you want to verify an approach against the official docs before implementing SkillInstall · skills CLI | 117,221 | MIT | ||
| using-agent-skills Discovers and invokes agent skills. Use when starting a session, or when you need to decide which skill or workflow applies to the piece of work at ha SkillInstall · skills CLI | 117,221 | MIT | ||
| ccs-align Run the CCS Align seat's hourly breathing cycle — prove the local claude-mem worker is healthy, pull needle observations through search → timeline → g SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| claude-mem-install Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference. SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| claude-mem-install Use this when setting up claude-mem on Grok Bot: local worker plus CMEM Pro observer (default), optional host-login observer, or remote cmem.ai. No Cu SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| eve-chat-template-eve Work safely on Eve-specific internals in the Eve chat template. Use when changing the Eve agent, withEve routes, eveChannel auth, useEveAgent, ClientS SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| handoff Generate a HANDOFF.md that captures goal, current state, files touched, failed attempts, and next steps — so a fresh Claude session can continue exact SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| host-observer Use this when fulfilling claude-mem observer jobs on Grok Bot: reply only skip_summary or one full observation XML, never prose. SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| how-it-works Explain how claude-mem captures observations, when memory injection kicks in, and where data lives. Use when the user asks "how does claude-mem work?" SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| knowledge-agent Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| mem-search Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions. SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| mem-search This skill should be used when the user asks to "search memory", "what do you remember about X", "check claude-mem", "mem search", "find past observat SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| mem-search Smart search (default). Search claude-mem's persistent cross-session memory database in three steps: search, timeline, then selected get_observations. SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| mem-setup This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowor SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| mode-creator Interactively create, install, activate, and verify custom claude-mem modes, including domain-specific observation types, concept tags, optional Teleg SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| timeline-report Generate a "Journey Into [Project]" narrative report analyzing a project's entire development history from claude-mem's timeline. Use when asked for a SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| weekly-digests 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 co SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| what-the What the? Use when the user wants a plain-English breakdown of something technical — the who, what, where, why, and when. SkillInstall · skills CLI | 116,897 | Apache-2.0 | ||
| company-creator Create agent company packages that conform to agentcompanies/v1. Use when asked to create a company, scaffold an agent team, hire agents, or turn a re SkillInstall · skills CLI | 113,505 | MIT | ||
| complain Autonomously yeet a brief, unstructured complaint about agent tooling or doing agent work. Preserve the raw voice. Submit proactively without permissi SkillInstall · skills CLI | 113,505 | MIT | ||
| create-agent-adapter Create or modify Paperclip agent adapters across server, UI, and CLI surfaces. Use when adding support for a new CLI agent, API agent, custom process, SkillInstall · skills CLI | 113,505 | MIT | ||
| create-case Create and kick off a Paperclip case from a user request, with workflow instructions and an initial agent. SkillInstall · skills CLI | 113,505 | MIT | ||
| create-external-bot-integration Build and qualify external bots such as Dot in Paperclip. Use for two-way work, invitation, identity, wakeup, Runner lifecycle, native tools, recovery SkillInstall · skills CLI | 113,505 | MIT | ||
| create-issue-interaction-ui Add a new Paperclip issue-thread interaction kind end-to-end. Use when repo work introduces or extends interaction cards like request_confirmation, ch SkillInstall · skills CLI | 113,505 | MIT | ||
| create-paperclip-bundled-skill Turn an idea, tweet, or task into a skill in the Paperclip skills catalog (packages/skills-catalog). Use when asked to FIND or MAKE a skill and publis SkillInstall · skills CLI | 113,505 | MIT | ||
| create-runner-adapter Add a new harness/provider integration to native Paperclip Runner, from requirements and protocol research through implementation, packaging, and real SkillInstall · skills CLI | 113,505 | MIT | ||
| create-verification-skill Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform. Use for /create-verificat SkillInstall · skills CLI | 113,505 | MIT | ||
| delegate-work Delegate user-requested work to an existing Paperclip agent, with a durable task reference and clear execution expectations. SkillInstall · skills CLI | 113,505 | MIT | ||
| design-guide Paperclip UI design system guide for building consistent, reusable frontend components. Use when creating new UI components, modifying existing ones, SkillInstall · skills CLI | 113,505 | MIT | ||
| diagnose-why-work-stopped Compatibility entry point for failed, stalled, looping, or over-recovered Paperclip work. Use fix-failed-paperclip-run for the full diagnosis, regress SkillInstall · skills CLI | 113,505 | MIT | ||
| first-task Guide the user's first Paperclip task when its description invokes /first-task. Interpret the opening answer, clarify their goal, propose a plan or a SkillInstall · skills CLI | 113,505 | MIT | ||
| fix-failed-paperclip-run Diagnose and fix failed, stuck, slow, or incorrectly blocked Paperclip tasks and runs. Use with a task/run URL or failure report to trace the root cau SkillInstall · skills CLI | 113,505 | MIT | ||
| follow-up-results Find progress or deliverables from earlier Paperclip work and add user-requested feedback with human attribution. SkillInstall · skills CLI | 113,505 | MIT | ||
| garden-inbox Scan a Paperclip user's Mine inbox, classify reversible archive candidates, request checkbox confirmation, and archive only accepted selections. Use w SkillInstall · skills CLI | 113,505 | MIT | ||
| index-refresh Use when an LLM Wiki operation issue requests an index refresh. Rebuild `wiki/index.md` from the actual wiki tree, reconcile missing/deleted entries, SkillInstall · skills CLI | 113,505 | MIT | ||
| LLM Wiki Maintainer Use the LLM Wiki plugin tools to maintain a cited local company wiki. SkillInstall · skills CLI | 113,505 | MIT | ||
| maintain-storybook Keep Paperclip stories and their downstream catalog aligned with the feature map and production UI. Use to reconcile story drift, classify prototypes, SkillInstall · skills CLI | 113,505 | MIT | ||
| maintain-verification-skill Keep a project's verification skill and product/agent access maps aligned with current source and real evidence. Use for /maintain-verification-skill, SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip Interact with the Paperclip control plane API for task coordination and governance. Use when checking assignments, updating issue status, posting comm SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip Use for Paperclip-managed tasks and heartbeats: reading task context, delivering task documents or files, updating completion or blockers, coordinatin SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-board Manage a Paperclip company as a board member via chat. Use when the user wants onboarding, company or agent management, approvals, task monitoring, co SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-converting-plans-to-tasks Decide whether Paperclip work needs delegation, and connect justified tasks with owners and real dependencies. Use when turning an authorized plan int SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-create-agent Create new agents in Paperclip with governance-aware hiring. Use when you need to inspect adapter configuration options, compare existing agent config SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-create-plugin Create and develop external Paperclip plugins with the CLI-first workflow. Use when scaffolding a plugin, iterating on a local plugin, installing it i SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-dev-workspace-run-verify-fix Run, verify, reseed, and repair Paperclip isolated dev workspace services. Use when asked to start or fix a managed project/worktree service and prove SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-distill Use when an operation issue is a Paperclip cursor-window, distill, or backfill. Turn source-bundled Paperclip activity into wiki-insightful project st SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-evals Choose, inspect, validate, and report Paperclip Runner or Product E2E evaluations while preserving evidence, provenance, cost, and failure classificat SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-page Publish static HTML pages and asset folders to the Paperclip S3/CloudFront page host. Use when asked to deploy, host, or share a persistent page, view SkillInstall · skills CLI | 113,505 | MIT | ||
| paperclip-task-bridge Create, comment on, update, and list Paperclip tasks from Hermes using scoped Paperclip API credentials. SkillInstall · skills CLI | 113,505 | MIT | ||
| para-memory-files Use a file-based PARA memory system to store, retrieve, and organize durable knowledge across sessions. Trigger on saving facts, daily notes, entity r SkillInstall · skills CLI | 113,505 | MIT | ||
| pr-gardening Discover the pull requests this Paperclip instance opened (never community contributions), report what each is for and how confident we are that it is SkillInstall · skills CLI | 113,505 | MIT | ||
| pr-report Produce a maintainer-grade PR or contribution report as HTML or Markdown. Use when asked to deeply review a PR, explain a design, compare systems, or SkillInstall · skills CLI | 113,505 | MIT | ||
| prcheckloop Iterate on a GitHub PR until latest-head checks are green or a precise blocker is named. Use when a PR still has failing or pending checks after revie SkillInstall · skills CLI | 113,505 | MIT | ||
| prepare-mcp-integration Prepare MCP/vendor integrations through cited research, a content PR, exact-revision human approval, and one governed Paperclip connector PR per appro SkillInstall · skills CLI | 113,505 | MIT | ||
| prepare-paperclip-pr Prepare a Paperclip branch for PR with commits, template body, and checks. SkillInstall · skills CLI | 113,505 | MIT | ||
| reflection-coach Reflect on another agent's recent execution record and propose the smallest durable instruction, skill, or tool-description change. Use for evidence-b SkillInstall · skills CLI | 113,505 | MIT | ||
| release Coordinate a full Paperclip release across engineering verification, npm, GitHub, smoke testing, and announcement follow-up. Use when leadership asks SkillInstall · skills CLI | 113,505 | MIT | ||
| release-changelog Generate the stable Paperclip release changelog at releases/vYYYY.MDD.P.md by reading commits, changesets, and merged PR context since the last stable SkillInstall · skills CLI | 113,505 | MIT | ||
| release-changelog-discord-message Write the Discord announcement for a stable Paperclip release from the release changelog. Use when a release issue needs a copy-pasteable dotta-voice SkillInstall · skills CLI | 113,505 | MIT | ||
| review-my-team Review a connected Paperclip team's agents, tasks, blockers and pending approvals when the user asks for a team summary or what needs attention. SkillInstall · skills CLI | 113,505 | MIT | ||
| review-storybook Review Paperclip stories for a feature or change using the Storybook catalog, production source, and existing browser tests. Report component, mock, i SkillInstall · skills CLI | 113,505 | MIT | ||
| setup-code-maintenance-bot Set up a Paperclip agent and routine that applies a selected code-maintenance skill to a repository and opens pull requests. Use for nightly maintenan SkillInstall · skills CLI | 113,505 | MIT | ||
| status-card-query Create and maintain agent-authored Paperclip status cards, or compile a prose interest prompt into bounded CompanySearchQuery objects and write the fi SkillInstall · skills CLI | 113,505 | MIT | ||
| suggestion-box Quietly suggest a concrete improvement after observing material, generalizable friction in agent work. Submit proactively without permission, preview, SkillInstall · skills CLI | 113,505 | MIT | ||
| summarize-status Write a short, colloquial summary for a Paperclip summary slot: open with the 1–3 specific, concrete actions the reader needs to take right now to unb SkillInstall · skills CLI | 113,505 | MIT | ||
| task-planning Write or revise a useful Paperclip plan with a clear outcome and verification. Use when a plan is requested or uncertainty needs resolving before exec SkillInstall · skills CLI | 113,505 | MIT | ||
| terminal-bench-loop Run one Terminal-Bench task through a bounded Paperclip smoke/diagnosis/fix loop. Use when asked to drive Terminal-Bench until it passes, rerun a Term SkillInstall · skills CLI | 113,505 | MIT | ||
| test-audit Garden the test suite by finding and removing redundant, vacuous, or implementation-coupled tests while preserving useful regression coverage. Use for SkillInstall · skills CLI | 113,505 | MIT | ||
| verify-paperclip Verify Paperclip from a source checkout, published npm install, or existing staging or production stack. Select the environment, data state, version, SkillInstall · skills CLI | 113,505 | MIT | ||
| wiki-ingest Use when an operation issue asks to ingest a captured `raw/` source into the LLM Wiki, or the user says "ingest <slug>". Create durable source, entity SkillInstall · skills CLI | 113,505 | MIT | ||
| wiki-lint Use when an LLM Wiki operation issue is a lint or health check. Audit for contradictions, orphans, weak provenance, broken links, missing concept page SkillInstall · skills CLI | 113,505 | MIT | ||
| wiki-query Use when an LLM Wiki operation issue asks a question. Answer from wiki pages and raw sources with citations, name gaps plainly, and offer to file dura SkillInstall · skills CLI | 113,505 | MIT | ||
| gemini-cli An open-source AI agent that brings the power of Gemini directly into your terminal. MCP server | 108,834 | — | ||
| claude-agent-lab Claude 代理实验室的连续数据界面动效模板。 SkillInstall · skills CLI | 107,550 | Apache-2.0 | ||
| html-ppt-hermes-cyber-terminal OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck SkillInstall · skills CLI | 107,550 | Apache-2.0 | ||
| html-ppt-obsidian-claude-gradient OpenDesign's enterprise AI-adoption brief: local-first agents at work, the risk controls, the ROI, and the rollout plan. Built as a decision-grade AI SkillInstall · skills CLI | 107,550 | Apache-2.0 | ||
| html-ppt-presenter-mode OpenDesign live demo: from a one-line prompt to runnable design in a single session — the flow, live. Built as a decision-grade AI literacy deck for d SkillInstall · skills CLI | 107,550 | Apache-2.0 | ||
| html-ppt-tech-sharing OpenDesign internals: how the agent stream, sandbox, and artifacts work — an engineering deep-dive talk. Built as a decision-grade AI literacy deck fo SkillInstall · skills CLI | 107,550 | Apache-2.0 | ||
| understand-knowledge Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and top SkillInstall · skills CLI | 92,567 | MIT | ||
| OmniRoute Never stop coding. Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Work MCP server | 87,505 | — | ||
| lobehub 🤯 LobeHub - Super-Agents on Your Team. Add super-agents to the chats your team already uses.They take on work by themselves and get better every week. MCP server | 85,532 | — | ||
| Ruflo Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP. MCP serverGitHub-verified authorLocal · npm | 81,608 | MIT | ||
| io.github.ruvnet/claude-flow AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev. MCP serverGitHub-verified authorLocal · npm | 81,607 | MIT | ||
| headroom Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same a MCP server | 79,680 | — | ||
| abyssale-automation Automate Abyssale tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| agentql-automation Automate Agentql tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| agenty-automation Automate Agenty tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| ai-ml-api-automation Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| aivoov-automation Automate Aivoov tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| alchemy-automation Automate Alchemy tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| anthropic-administrator-automation Automate Anthropic Admin tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| anthropic_administrator-automation Automate Anthropic Admin tasks via Rube MCP (Composio): API keys, usage, workspaces, and organization management. Always search tools first for curren SkillInstall · skills CLI | 79,451 | — | ||
| apipie-ai-automation Automate Apipie AI tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| apiverve-automation Automate Apiverve tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| appcircle-automation Automate Appcircle tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| appdrag-automation Automate Appdrag tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| appointo-automation Automate Appointo tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| appsflyer-automation Automate Appsflyer tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| appveyor-automation Automate Appveyor tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| aryn-automation Automate Aryn tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| ascora-automation Automate Ascora tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| asin-data-api-automation Automate Asin Data API tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| astica-ai-automation Automate Astica AI tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| async-interview-automation Automate Async Interview tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| atlassian-automation Automate Atlassian tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| auth0-automation Automate Auth0 tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| autobound-automation Automate Autobound tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| autom-automation Automate Autom tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| axonaut-automation Automate Axonaut tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| ayrshare-automation Automate Ayrshare tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| backendless-automation Automate Backendless tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| bannerbear-automation Automate Bannerbear tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| bart-automation Automate Bart tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| baselinker-automation Automate Baselinker tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| baserow-automation Automate Baserow tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| bigml-automation Automate Bigml tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| botpress-automation Automate Botpress tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| botsonic-automation Automate Botsonic tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| botstar-automation Automate Botstar tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| claid-ai-automation Automate Claid AI tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| composio-automation Automate Composio tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| convolo-ai-automation Automate Convolo AI tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| customgpt-automation Automate Customgpt tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| datarobot-automation Automate Datarobot tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| docsbot-ai-automation Automate Docsbot AI tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| docsumo-automation Automate Docsumo tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| dungeon-fighter-online-automation Automate Dungeon Fighter Online tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| echtpost-automation Automate Echtpost tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| elorus-automation Automate Elorus tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| emailable-automation Automate Emailable tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| emelia-automation Automate Emelia tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| encodian-automation Automate Encodian tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| endorsal-automation Automate Endorsal tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| enigma-automation Automate Enigma tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| entelligence-automation Automate Entelligence tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| epic-games-automation Automate Epic Games tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| etermin-automation Automate Etermin tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| evenium-automation Automate Evenium tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| eventee-automation Automate Eventee tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| eventzilla-automation Automate Eventzilla tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| extracta-ai-automation Automate Extracta AI tasks via Rube MCP (Composio). Always search tools first for current schemas. SkillInstall · skills CLI | 79,451 | — | ||
| coding-agent-sessions Finds, reads, and reconstructs coding-agent sessions across Codex, Claude, OpenCode, OMO/Senpi, and other local agent logs. Use when asked to find or SkillInstall · skills CLI | 70,897 | — | ||
| dag-library Stores a DAG definition once and re-runs it by name, instead of pasting the definition into every run. Use when the user wants to save a DAG, run a sa SkillInstall · skills CLI | 70,897 | — | ||
| hyperplan Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) v SkillInstall · skills CLI | 70,897 | — | ||
| hyperplan Adversarial multi-agent planning: a hostile team cross-critiques a plan before it is formalized. Use when planning needs maximum rigor or the user ask SkillInstall · skills CLI | 70,897 | — | ||
| mass-ulw Drives dependency-ordered child work through the native workflow tool, each phase's stages defined up front in one run, with retry/amend/send recovery SkillInstall · skills CLI | 70,897 | — | ||
| onboarding Guides a first-time omo user through setup and the core workflow. Use when a new user asks to get started with omo. SkillInstall · skills CLI | 70,897 | — | ||
| teammode Codex-only team orchestration: run a named team of cooperating Codex workers with durable, script-managed state. MUST USE when the user asks Codex to SkillInstall · skills CLI | 70,897 | — | ||
| ultrawork The binding ultrawork-mode directive. This file IS the directive; read it only when ultrawork mode is requested and the directive is not already in th SkillInstall · skills CLI | 70,897 | — | ||
| ulw-execute Executes a written ulw-plan work plan with Boulder state, evidence ledger, worktree discipline, and parallel subagents. Use when the user says ulw-exe SkillInstall · skills CLI | 70,897 | — | ||
| ulw-loop A goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed ex SkillInstall · skills CLI | 70,897 | — | ||
| ulw-plan ACTIVATES ONLY on an explicit user request for the ulw-plan workflow: the user themselves saying ulw-plan, ulw plan, /skill:ulw-plan, or asking in the SkillInstall · skills CLI | 70,897 | — | ||
| ulw-plan Explore-first planning consultant that writes one decision-complete work plan before coding. Use only on an explicit user request for the ulw-plan wor SkillInstall · skills CLI | 70,897 | — | ||
| vibe-to-agentic-framework The conceptual framework behind the presentation — what "Vibe Coding to Agentic Engineering" means, why the journey is structured the way it is, and h SkillInstall · skills CLI | 69,046 | MIT | ||
| humanizer 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 cont SkillInstall · skills CLI | 68,896 | MIT | ||
| i-have-adhd Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific t SkillInstall · skills CLI | 61,133 | MIT | ||
| mempalace The best-benchmarked open-source AI memory system. And it's free. MCP server | 60,561 | — | ||
| copy-editing 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 fro SkillInstall · skills CLI | 60,203 | MIT | ||
| copywriting When the user wants to write or rewrite page copy (homepage, landing, pricing, feature), or asks which headline, promise, or message to lead with. Dia SkillInstall · skills CLI | 60,203 | MIT | ||
| autoskill Analyzes user-requested Screenpipe history windows to detect repeated research workflows, match existing scientific skills, and stage new skill drafts SkillInstall · skills CLI | 57,090 | MIT | ||
| consciousness-council Structures a multi-perspective council exercise for decisions, research trade-offs, and creative challenges. Simulates thinking archetypes, separates SkillInstall · skills CLI | 57,090 | MIT | ||
| deepspot-m Generates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 SkillInstall · skills CLI | 57,090 | MIT | ||
| dhdna-profiler Applies the DHDNA framework as an exploratory rubric for reasoning and writing patterns in supplied text. Used for explicit requests for DHDNA, cognit SkillInstall · skills CLI | 57,090 | MIT | ||
| diffdock Predicts protein-small-molecule binding poses with DiffDock and DiffDock-L from PDB or sequence plus SMILES/SDF/MOL2. Covers batch docking, pose triag SkillInstall · skills CLI | 57,090 | MIT | ||
| esm Uses the Biohub esm Python SDK for ESM3 protein generation, ESMC embeddings, and ESMFold2 all-atom folding. Applies to local model inference and Biohu SkillInstall · skills CLI | 57,090 | MIT | ||
| experimental-design Designs experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results SkillInstall · skills CLI | 57,090 | MIT | ||
| genomic-intelligence Predicts regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language m SkillInstall · skills CLI | 57,090 | MIT | ||
| hugging-science Discovers and evaluates scientific datasets, models, methodology posts, and Spaces through the Hugging Science catalog. Used when selecting scientific SkillInstall · skills CLI | 57,090 | MIT | ||
| hypogenic Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine for LLM-assisted hypothesis generation from labeled text datasets. Use for the `hypogenic` pac SkillInstall · skills CLI | 57,090 | MIT | ||
| hypothesis-generation Formulates evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions SkillInstall · skills CLI | 57,090 | MIT | ||
| ncats-arax Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph re SkillInstall · skills CLI | 57,090 | MIT | ||
| pi-agent Builds with and operates Pi, the minimal terminal coding harness. Use for installing Pi, configuring providers/models/settings/environment variables, SkillInstall · skills CLI | 57,090 | MIT | ||
| shap Explain and audit machine-learning predictions with SHAP. Use for selecting SHAP explainers and maskers, computing and validating feature attributions SkillInstall · skills CLI | 57,090 | MIT | ||
| stable-baselines3 Trains and evaluates single-agent reinforcement learning with Stable Baselines3 (PPO, SAC, DQN, TD3, DDPG, A2C), Gymnasium custom environments, vector SkillInstall · skills CLI | 57,090 | MIT | ||
| transformers Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and mult SkillInstall · skills CLI | 57,090 | MIT | ||
| waypoint-bio Supports work with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pr SkillInstall · skills CLI | 57,090 | MIT | ||
| goose an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM MCP server | 56,620 | — | ||
| agent-notes Use when deciding whether a Cherry Studio change needs an Agent Note, authoring or reviewing a Spec, recording a durable bug-fix decision, moving a no SkillInstall · skills CLI | 53,498 | AGPL-3.0 | ||
| cherry-skill-marketplace 用户要求搜索、安装、查看或卸载 Skill，或内置能力不足时使用：先 search_skills，再 install_skill；无结果用 skill-creator 创建。 SkillInstall · skills CLI | 53,498 | AGPL-3.0 | ||
| cherry-tool-guide Cherry tool routing: bun, uv, rg, knowledge, memory, schedules, skills, MCP, web. Read before shell workarounds. SkillInstall · skills CLI | 53,498 | AGPL-3.0 | ||
| claude-automation-recommender Recommend Claude Code automations (hooks, subagents, skills, plugins, MCP) and review an existing setup. SkillInstall · skills CLI | 53,498 | AGPL-3.0 | ||
| create-skill Create a new skill in the current repository. Use when the user wants to create/add a new skill, or mentions creating a skill from scratch. This skill SkillInstall · skills CLI | 53,498 | AGPL-3.0 | ||
| find-skills Find and install agent skills when the user asks for a capability that may already exist as a skill. SkillInstall · skills CLI | 53,498 | AGPL-3.0 | ||
| skill-creator Create, edit, evaluate, and optimize skills, including benchmarking and description tuning for better triggering. SkillInstall · skills CLI | 53,498 | AGPL-3.0 | ||
| skills-manager 搜索、安装或创建 Agent Skill；用户说“find a skill”“搜索技能”“帮我做个 skill”或想扩展能力时使用。 SkillInstall · skills CLI | 53,498 | AGPL-3.0 | ||
| nature-polishing 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 manuscr SkillInstall · skills CLI | 53,478 | Apache-2.0 | ||
| nature-response 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、 r SkillInstall · skills CLI | 53,478 | Apache-2.0 | ||
| nature-reviewer Provide evidence-grounded mock peer review of scientific manuscripts or excerpts, covering significance, validity, and major/minor concerns. Use for 模 SkillInstall · skills CLI | 53,478 | Apache-2.0 | ||
| nature-shared Internal shared-reference support package for installed Nature Skills, including nature-writing, nature-polishing, nature-response, nature-reader, and SkillInstall · skills CLI | 53,478 | Apache-2.0 | ||
| nature-statistics Audit or improve manuscript statistical reporting, including experimental units, replication, uncertainty, tests, and figure statistics. Use for 统计审查、 SkillInstall · skills CLI | 53,478 | Apache-2.0 | ||
| nature-writing 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 SkillInstall · skills CLI | 53,478 | Apache-2.0 | ||
| researchwrite 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 rese SkillInstall · skills CLI | 53,478 | Apache-2.0 | ||
| LocalAI LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. MCP server | 50,368 | — | ||
| nanobot Your lightweight open-source personal agent. MCP server | 50,087 | — | ||
| advanced-evaluation Design LLM-as-judge rubrics, direct scores and pairwise comparisons. Use for judge models, evals, position bias and calibration against human labels. SkillInstall · skills CLI | 49,672 | MIT | ||
| agent-evaluation Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agen SkillInstall · skills CLI | 49,672 | MIT | ||
| agent-evaluation-reporting Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable. SkillInstall · skills CLI | 49,672 | MIT | ||
| agent-harness-fault-injection Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures. SkillInstall · skills CLI | 49,672 | MIT | ||
| agent-memory-systems Design tenant-scoped memory, retrieval and retention for agents. Use when planning RAG, conversation history, vector stores or remembering across sess SkillInstall · skills CLI | 49,672 | MIT | ||
| ai-agents-architect Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. SkillInstall · skills CLI | 49,672 | MIT | ||
| ai-sre-incident-response Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions. SkillInstall · skills CLI | 49,672 | MIT | ||
| ai-wrapper-product Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - pr SkillInstall · skills CLI | 49,672 | MIT | ||
| azure-ai-openai-dotnet Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcri SkillInstall · skills CLI | 49,672 | MIT | ||
| context-window-management Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot SkillInstall · skills CLI | 49,672 | MIT | ||
| hugging-face-evaluation Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial A SkillInstall · skills CLI | 49,672 | MIT | ||
| langfuse Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangCha SkillInstall · skills CLI | 49,672 | MIT | ||
| langgraph Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, SkillInstall · skills CLI | 49,672 | MIT | ||
| llm-app-patterns Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries. SkillInstall · skills CLI | 49,672 | MIT | ||
| llm-evaluation Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing. SkillInstall · skills CLI | 49,672 | MIT | ||
| mcp-builder Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP ser SkillInstall · skills CLI | 49,672 | MIT | ||
| mcp-tool-developer Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registr SkillInstall · skills CLI | 49,672 | MIT | ||
| prompt-caching Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) SkillInstall · skills CLI | 49,672 | MIT | ||
| prompt-engineering Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting stra SkillInstall · skills CLI | 49,672 | MIT | ||
| rag-engineer Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization SkillInstall · skills CLI | 49,672 | MIT | ||
| rag-implementation RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval o SkillInstall · skills CLI | 49,672 | MIT | ||
| workflow-automation Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow mea SkillInstall · skills CLI | 49,672 | MIT | ||
| Codebase Memory Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens. MCP serverGitHub-verified authorLocal · npm | 48,580 | MIT | ||
| JeecgBoot 一款免费开源的 AI 低代码平台，也是 AI 时代构建复杂业务系统的开源基座！权限、多租户、工作流、报表、大屏、AI 知识库等通用能力开箱即用，AI 只需生成业务差异部分。AI Skills 一句话生成完整系统——建表、前后端代码、菜单权限、BPM 流程、表单、报表、大屏全自动。内置 AI 应用平台 MCP server | 48,483 | — | ||
| CowAgent Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-mode MCP server | 47,922 | MIT | ||
| skill-creator Create, install, or update skills in the workspace. Use when (1) installing a skill from a URL or remote source, (2) creating a new skill from scratch SkillInstall · skills CLI | 47,922 | MIT | ||
| LibreChat Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Ve MCP server | 47,133 | — | ||
| agent-development This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| agent-sdk-dev Development kit for working with the Claude Agent SDK PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| build-mcp-app This skill should be used when the user wants to build an "MCP app", add "interactive UI" or "widgets" to an MCP server, "render components in chat", SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| build-mcp-server This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose t SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| build-mcpb This skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a lo SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| champion-kit Help Claude Code champions run hackathons and office hours, find patterns worth sharing, help teammates climb the steps of AI adoption, and write a sh PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| claude-automation-recommender Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommend SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| claude-code-setup Analyze codebases and recommend tailored Claude Code automations such as hooks, skills, MCP servers, and subagents. PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| claude-md-management Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current. PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| command-development This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| example-command An example user-invoked skill that demonstrates frontmatter options and the skills/<name>/SKILL.md layout SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| example-skill This skill should be used when the user asks to "demonstrate skills", "show skill format", "create a skill template", or discusses skill development p SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| explanatory-output-style Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style) PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| hook-development This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-base SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| hookify Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions. Define rules via simple mar PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| learning-output-style Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style) PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| math-olympiad Solve competition math (IMO, Putnam, USAMO) with adversarial verification that catches what self-verification misses. Fresh-context verifiers attack p PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| math-olympiad "Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| mcp-integration This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context P SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| mcp-server-dev Skills for designing and building MCP servers that work seamlessly with Claude. Guides you through deployment models (remote HTTP, MCPB, local), tool PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| mcp-tunnels Connect Claude to a private MCP server through an Anthropic MCP tunnel. The /create-docker-mcp-tunnel command drives the Docker Compose quickstart end PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| plugin-dev Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practic PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| plugin-settings This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "pl SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| plugin-structure This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", " SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| ralph-loop Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, se PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| receipts A personal Claude Code impact report for justifying your usage to a manager or a self-review: what you shipped, which projects it went to, and each pr PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| security-guidance Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catch PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| session-report Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from l PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| siege Work on one hard mathematics problem in rounds: each round a judge writes a few self-contained questions, independent workers answer them, and the jud SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| skill-creator Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an e PluginAnthropic marketplace | 47,064 | Apache-2.0 | ||
| skill-development This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organiz SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| solo 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 SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| writing-hookify-rules This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guid SkillOfficial · AnthropicInstall · skills CLI | 47,064 | Apache-2.0 | ||
| AstrBot AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨ MCP server | 46,922 | — | ||
| kong 🦍 The API and AI Gateway MCP server | 44,378 | — | ||
| openhuman The fastest, cheapest, most efficient open-source agent harness. Run more than 500 agents on a $10 VPS. MCP server | 42,703 | — | ||
| agents Plugins, agents, skills, and commands for Claude Code, Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi, written once in Markdown MCP server | 42,495 | MIT | ||
| ai-debt-detector Use after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when erro SkillInstall · skills CLI | 42,495 | MIT | ||
| checkpoint-promotion Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpo SkillInstall · skills CLI | 42,495 | MIT | ||
| context-driven-development Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a `conductor/` directory. Scaffolds new project SkillInstall · skills CLI | 42,495 | MIT | ||
| dataset-curation Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying SkillInstall · skills CLI | 42,495 | MIT | ||
| eval-harness-first Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Us SkillInstall · skills CLI | 42,495 | MIT | ||
| evaluation-methodology PluginEval quality methodology, covering dimensions, rubrics, and scoring formulas. Use this skill when understanding how plugin quality is measured, SkillInstall · skills CLI | 42,495 | MIT | ||
| finetuning-method-selection Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when start SkillInstall · skills CLI | 42,495 | MIT | ||
| grpo-rlvr-training Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmic SkillInstall · skills CLI | 42,495 | MIT | ||
| langchain-architecture Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implemen SkillInstall · skills CLI | 42,495 | MIT | ||
| llm-evaluation Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM per SkillInstall · skills CLI | 42,495 | MIT | ||
| lora-qlora-recipes Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training config SkillInstall · skills CLI | 42,495 | MIT | ||
| ml-pipeline-workflow Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, SkillInstall · skills CLI | 42,495 | MIT | ||
| preference-optimization Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosin SkillInstall · skills CLI | 42,495 | MIT | ||
| prompt-engineering-patterns This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", SkillInstall · skills CLI | 42,495 | MIT | ||
| protect-mcp-setup Configure Cedar policy enforcement and Ed25519 signed receipts for Claude Code tool calls. Use when setting up projects that need cryptographic audit SkillInstall · skills CLI | 42,495 | MIT | ||
| quantized-export Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint p SkillInstall · skills CLI | 42,495 | MIT | ||
| rag-implementation Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-gro SkillInstall · skills CLI | 42,495 | MIT | ||
| recsys-pipeline-architect Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework populari SkillInstall · skills CLI | 42,495 | MIT | ||
| review-agent-setup Configure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comme SkillInstall · skills CLI | 42,495 | MIT | ||
| scan Scans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after ar SkillInstall · skills CLI | 42,495 | MIT | ||
| session-guard Use when working on complex multi-step tasks, when a session is getting long (40+ tool calls), when the agent starts ignoring rules it followed earlie SkillInstall · skills CLI | 42,495 | MIT | ||
| signed-audit-trails-recipe Step-by-step cookbook for setting up cryptographically signed audit trails on Claude Code tool calls. Use when explaining, evaluating, or demonstratin SkillInstall · skills CLI | 42,495 | MIT | ||
| spark-environment-setup Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX S SkillInstall · skills CLI | 42,495 | MIT | ||
| spark-memory-thermal-ops Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when SkillInstall · skills CLI | 42,495 | MIT | ||
| spark-training-gotchas Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs belo SkillInstall · skills CLI | 42,495 | MIT | ||
| superself Use when a project keeps its state in Superself (a `<!-- superself:begin` block in AGENTS.md or CLAUDE.md, or `self setup` resolves the directory to a SkillInstall · skills CLI | 42,495 | MIT | ||
| trace-to-training-data Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to bec SkillInstall · skills CLI | 42,495 | MIT | ||
| track-management Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.m SkillInstall · skills CLI | 42,495 | MIT | ||
| vision-sft Fine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring f SkillInstall · skills CLI | 42,495 | MIT | ||
| workflow-patterns Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understan SkillInstall · skills CLI | 42,495 | MIT | ||
| ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications. MCP server | 41,863 | — | ||
| Codewhale An open-source coding agent for your terminal, written in Rust. It works with any model, can split one task across several agents, and every line of i MCP server | 41,175 | — | ||
| agent-architecture Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; exclude SkillInstall · skills CLI | 41,140 | MIT | ||
| agent-governance Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call ext SkillInstall · skills CLI | 41,140 | MIT | ||
| agent-owasp-compliance Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's secu SkillInstall · skills CLI | 41,140 | MIT | ||
| agent-skill-stack Find, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for SkillInstall · skills CLI | 41,140 | MIT | ||
| agent-supply-chain Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent p SkillInstall · skills CLI | 41,140 | MIT | ||
| agentic-eval Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Buildi SkillInstall · skills CLI | 41,140 | MIT | ||
| agentic-workflows Route gh-aw workflow design/create/debug/upgrade requests to the right prompts. SkillInstall · skills CLI | 41,140 | MIT | ||
| ai-prompt-engineering-safety-review Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectivene SkillInstall · skills CLI | 41,140 | MIT | ||
| ai-ready Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your SkillInstall · skills CLI | 41,140 | MIT | ||
| ai-team-orchestration Bootstrap and run a lightweight multi-agent development team. Use when starting or adopting a project, planning work, coordinating implementation and SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-ai-provider-integration Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports a SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-annotation Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Appl SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-evaluator Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-experiment Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing result SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-instrumentation Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrum SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-prompt-optimization Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performanc SkillInstall · skills CLI | 41,140 | MIT | ||
| arize-trace Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting trac SkillInstall · skills CLI | 41,140 | MIT | ||
| boost-prompt Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires SkillInstall · skills CLI | 41,140 | MIT | ||
| build-evidence-map Build an auditable evidence map for a contested technical choice, research synthesis, proposal review, or consequential decision. Use when Copilot mus SkillInstall · skills CLI | 41,140 | MIT | ||
| copilot-sdk Build agentic applications with the Microsoft Copilot SDK, transitioning from GitHub Copilot SDK. Use when embedding AI agents in apps, creating custo SkillInstall · skills CLI | 41,140 | MIT | ||
| copilot-spaces Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a "Copilot space", want to load context fro SkillInstall · skills CLI | 41,140 | MIT | ||
| create-agentsmd Prompt for generating an AGENTS.md file for a repository SkillInstall · skills CLI | 41,140 | MIT | ||
| create-architectural-decision-record Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation. SkillInstall · skills CLI | 41,140 | MIT | ||
| create-implementation-plan Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure. SkillInstall · skills CLI | 41,140 | MIT | ||
| create-llms Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/ SkillInstall · skills CLI | 41,140 | MIT | ||
| create-readme Create a README.md file for the project SkillInstall · skills CLI | 41,140 | MIT | ||
| create-specification Create a new specification file for the solution, optimized for Generative AI consumption. SkillInstall · skills CLI | 41,140 | MIT | ||
| create-technical-spike Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation. SkillInstall · skills CLI | 41,140 | MIT | ||
| declarative-agents Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec suppo SkillInstall · skills CLI | 41,140 | MIT | ||
| diagnose Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fit SkillInstall · skills CLI | 41,140 | MIT | ||
| dotnet-mcp-builder Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 2.x NuGet packages. Helps with cases the model gets wro SkillInstall · skills CLI | 41,140 | MIT | ||
| doublecheck Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversaria SkillInstall · skills CLI | 41,140 | MIT | ||
| eval-driven-dev Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evalua SkillInstall · skills CLI | 41,140 | MIT | ||
| finalize-agent-prompt Finalize prompt file using the role of an AI agent to polish the prompt for the end user. SkillInstall · skills CLI | 41,140 | MIT | ||
| finnish-humanizer Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "natur SkillInstall · skills CLI | 41,140 | MIT | ||
| first-ask Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Jo SkillInstall · skills CLI | 41,140 | MIT | ||
| foundry-agent-sync Create and synchronize prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills tha SkillInstall · skills CLI | 41,140 | MIT | ||
| foundry-agentic-loop Build agentic solutions on Microsoft Foundry, GitHub and Azure: hosted agents, toolbox tools and skills, Foundry IQ grounding and a React/FastAPI app. SkillInstall · skills CLI | 41,140 | MIT | ||
| foundry-hosted-agent-copilotkit Build and evolve agentic web apps that pair a CopilotKit React frontend with a Microsoft Agent Framework agent running as a Microsoft Foundry hosted a SkillInstall · skills CLI | 41,140 | MIT | ||
| from-the-other-side-anitta Rigorous challenge profile for Anitta: assumption checks, evidence calibration, and defensible reasoning patterns for Ember collaboration. SkillInstall · skills CLI | 41,140 | MIT | ||
| from-the-other-side-quinn Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison. SkillInstall · skills CLI | 41,140 | MIT | ||
| from-the-other-side-vega 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 SkillInstall · skills CLI | 41,140 | MIT | ||
| from-the-other-side-wiggins Narrative and synthesis profile for Wiggins: framing, explanation, and audience-aware communication patterns for Ember sessions. SkillInstall · skills CLI | 41,140 | MIT | ||
| integrate-context-matic Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guida SkillInstall · skills CLI | 41,140 | MIT | ||
| java-mcp-server-generator Use this skill when the user wants to create a Model Context Protocol (MCP) server in Java or in a Spring Boot app. Also use it when the user wants AI SkillInstall · skills CLI | 41,140 | MIT | ||
| kotlin-mcp-server-generator Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io.modelcontextprotocol:kotli SkillInstall · skills CLI | 41,140 | MIT | ||
| mcp-cli Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP serve SkillInstall · skills CLI | 41,140 | MIT | ||
| mcp-copilot-studio-server-generator Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support SkillInstall · skills CLI | 41,140 | MIT | ||
| mcp-create-adaptive-cards Skill converted from mcp-create-adaptive-cards.prompt.md SkillInstall · skills CLI | 41,140 | MIT | ||
| mcp-create-declarative-agent Skill converted from mcp-create-declarative-agent.prompt.md SkillInstall · skills CLI | 41,140 | MIT | ||
| mcp-deploy-manage-agents Skill converted from mcp-deploy-manage-agents.prompt.md SkillInstall · skills CLI | 41,140 | MIT | ||
| memory-merger Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), SkillInstall · skills CLI | 41,140 | MIT | ||
| mentoring-juniors Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code SkillInstall · skills CLI | 41,140 | MIT | ||
| microsoft-skill-creator Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft te SkillInstall · skills CLI | 41,140 | MIT | ||
| mini-context-graph A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writ SkillInstall · skills CLI | 41,140 | MIT | ||
| napkin Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then s SkillInstall · skills CLI | 41,140 | MIT | ||
| noob-mode Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, SkillInstall · skills CLI | 41,140 | MIT | ||
| on-device-delegate Saves cloud-model context by briefing one bounded, read-heavy sub-task (more than about 25 KB of prose, or many files that no single command can answe SkillInstall · skills CLI | 41,140 | MIT | ||
| onboard-context-matic Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick on SkillInstall · skills CLI | 41,140 | MIT | ||
| mindshub The unified workspace where open-source models get things done for you. MCP server | 39,863 | — | ||
| find-skills Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or e SkillInstall · skills CLI | 39,285 | MIT | ||
| oh-my-pi ⌥ Coding agent with the IDE wired in. Built by Stencil Labs. MCP server | 39,045 | — | ||
| andrej-karpathy-perspective 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 SkillInstall · skills CLI | 38,247 | MIT | ||
| elon-musk-perspective 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p SkillInstall · skills CLI | 38,247 | MIT | ||
| feynman-perspective 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」 SkillInstall · skills CLI | 38,247 | MIT | ||
| huashu-nuwa 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sk SkillInstall · skills CLI | 38,247 | MIT | ||
| ilya-sutskever-perspective 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 SkillInstall · skills CLI | 38,247 | MIT | ||
| mrbeast-perspective 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 SkillInstall · skills CLI | 38,247 | MIT | ||
| munger-perspective 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。 SkillInstall · skills CLI | 38,247 | MIT | ||
| naval-perspective 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 pe SkillInstall · skills CLI | 38,247 | MIT | ||
| paul-graham-perspective 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「 SkillInstall · skills CLI | 38,247 | MIT | ||
| steve-jobs-perspective 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。 SkillInstall · skills CLI | 38,247 | MIT | ||
| sun-yuchen-perspective 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 SkillInstall · skills CLI | 38,247 | MIT | ||
| taleb-perspective 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 SkillInstall · skills CLI | 38,247 | MIT | ||
| Vibe-Trading "Vibe-Trading: Your Personal Trading Agent" MCP server | 38,245 | — | ||
| book-to-skill Converts books and documents (PDF, EPUB, DOCX, HTML, Markdown, plain text, RTF, MOBI/AZW with Calibre) into structured agent skills, extracting framew SkillInstall · skills CLI | 37,790 | MIT | ||
| QwenPaw Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabiliti MCP server | 37,754 | — | ||
| Anthropic-Cybersecurity-Skills 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (F MCP server | 36,105 | Apache-2.0 | ||
| automating-ioc-enrichment Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-adversary-infrastructure-tracking-system Build an automated adversary infrastructure tracking system in Python (dnspython, python-whois, shodan, networkx) that pivots across passive DNS, cert SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-attack-pattern-library-from-cti-reports Parse cyber threat intelligence reports (Mandiant, CrowdStrike, Talos, Microsoft) with stix2, mitreattack-python, and spaCy to extract adversary behav SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-automated-malware-submission-pipeline Builds an automated malware submission and analysis pipeline that collects suspicious files from endpoints and email gateways, submits them to sandbox SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-c2-infrastructure-with-sliver-framework Deploy and harden a Sliver C2 team server (BishopFox's Go-based adversary emulation framework) with multi-protocol listeners (mTLS, HTTP/S, DNS, WireG SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-c2-redirector-infrastructure Build dumb-pipe and traffic-filtering C2 redirectors with nginx (proxy_pass) and Apache (mod_rewrite), deriving filter rules from a Malleable C2 profi SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-detection-rule-with-splunk-spl Build effective detection rules using Splunk Search Processing Language (SPL) correlation searches to identify security threats in SOC environments. SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-detection-rules-with-sigma Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-incident-response-playbook Designs and documents structured incident response playbooks with step-by-step procedures per incident type, decision trees, escalation criteria, RACI SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-incident-timeline-with-timesketch Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data (including Plaso output) fo SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-ioc-defanging-and-sharing-pipeline Build an automated pipeline that ingests raw IOCs (URLs, IPs, domains, emails), normalizes and deduplicates them, then produces defanged renderings fo SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-ioc-enrichment-pipeline-with-opencti Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native threat intel platform) using its internal enrichment connectors to pull context SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-malware-incident-communication-template Build structured communication templates for malware incidents (ransomware, wiper, trojan, worm), covering internal stakeholder notifications, executi SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-patch-tuesday-response-process Establish a repeatable operational process for triaging, testing, and deploying Microsoft Patch Tuesday security updates (Windows, Office, Exchange, S SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-phishing-reporting-button-workflow Implement a phishing report button (Microsoft 365 built-in Report button or third-party like KnowBe4/Cofense) in email clients with a SOAR-driven auto SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-ransomware-playbook-with-cisa-framework Builds a structured ransomware incident response playbook aligned with the CISA StopRansomware Guide and NIST Cybersecurity Framework, covering prepar SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-red-team-c2-infrastructure-with-havoc Deploy and configure the Havoc C2 framework (teamserver, HTTPS/HTTP/SMB listeners, Nginx redirectors, and Demon agents) with malleable traffic profile SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-role-mining-for-rbac-optimization Apply bottom-up and top-down role mining techniques, including clustering algorithms and formal concept analysis, to discover optimal RBAC roles from SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| building-soc-escalation-matrix Build a structured SOC escalation matrix defining severity tiers, response SLAs, tiered escalation paths, and notification procedures for security inc SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| detecting-data-and-model-poisoning Identify poisoned training data and backdoored ML models across the pipeline using IBM's Adversarial Robustness Toolbox (activation clustering, spectr SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| detecting-indirect-prompt-injection Detect and defend against indirect prompt injection hidden in web pages, documents, and images consumed by an agent, via content extraction (HTML/PDF/ SkillInstall · skills CLI | 36,105 | Apache-2.0 | ||
| agentscope Build and run agents you can see, understand and trust. MCP server | 36,007 | — | ||
| context-mode Free, local plugin that keeps tool output out of your coding agent's context window. Sandbox and SQLite FTS5 search, 99% fewer bytes in context. Works MCP server | 34,063 | — | ||
| agent-evaluation Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top SkillInstall · skills CLI | 33,495 | MIT | ||
| agent-management Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "hibernat SkillInstall · skills CLI | 33,495 | MIT | ||
| agent-manager-skill Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling. SkillInstall · skills CLI | 33,495 | MIT | ||
| agent-md-refactor Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into or SkillInstall · skills CLI | 33,495 | MIT | ||
| agent-memory-mcp A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). SkillInstall · skills CLI | 33,495 | MIT | ||
| agent-memory-systems Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: s SkillInstall · skills CLI | 33,495 | MIT | ||
| agent-messaging Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a messa SkillInstall · skills CLI | 33,495 | MIT | ||
| agent-tool-builder Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails s SkillInstall · skills CLI | 33,495 | MIT | ||
| agents-autogpt Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous a SkillInstall · skills CLI | 33,495 | MIT | ||
| agents-crewai Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, SkillInstall · skills CLI | 33,495 | MIT | ||
| agents-langchain Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integratio SkillInstall · skills CLI | 33,495 | MIT | ||
| agents-llamaindex Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector in SkillInstall · skills CLI | 33,495 | MIT | ||
| ai-agents-architect Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: SkillInstall · skills CLI | 33,495 | MIT | ||
| ai-product Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM SkillInstall · skills CLI | 33,495 | MIT | ||
| ai-wrapper-product Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - pro SkillInstall · skills CLI | 33,495 | MIT | ||
| autonomous-agent-patterns Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflow SkillInstall · skills CLI | 33,495 | MIT | ||
| autonomous-agents Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance SkillInstall · skills CLI | 33,495 | MIT | ||
| behavioral-modes AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type. SkillInstall · skills CLI | 33,495 | MIT | ||
| claude-code-guide Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and SkillInstall · skills CLI | 33,495 | MIT | ||
| claude-code-templates Open-source registry and CLI for Claude Code components: agents, commands, skills, hooks, MCPs, settings and mods MCP server | 33,495 | MIT | ||
| context-window-management Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit SkillInstall · skills CLI | 33,495 | MIT | ||
| conversation-memory Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memo SkillInstall · skills CLI | 33,495 | MIT | ||
| crewai Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task d SkillInstall · skills CLI | 33,495 | MIT | ||
| deep-research Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports. SkillInstall · skills CLI | 33,495 | MIT | ||
| dispatching-parallel-agents Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-accelerate Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic de SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-deepspeed Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-megatron-core Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parame SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-pytorch-fsdp Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2 SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-pytorch-lightning High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scale SkillInstall · skills CLI | 33,495 | MIT | ||
| distributed-training-ray-train Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tunin SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-knowledge-distillation Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performanc SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-long-context Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-1 SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-model-merging Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-sp SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-model-pruning Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-moe-training Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs SkillInstall · skills CLI | 33,495 | MIT | ||
| emerging-techniques-speculative-decoding Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1. SkillInstall · skills CLI | 33,495 | MIT | ||
| evaluation-bigcode-evaluation-harness Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, compari SkillInstall · skills CLI | 33,495 | MIT | ||
| evaluation-lm-evaluation-harness Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, SkillInstall · skills CLI | 33,495 | MIT | ||
| evaluation-nemo-evaluator Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable SkillInstall · skills CLI | 33,495 | MIT | ||
| fine-tuning-axolotl Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support SkillInstall · skills CLI | 33,495 | MIT | ||
| fine-tuning-llama-factory Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support SkillInstall · skills CLI | 33,495 | MIT | ||
| fine-tuning-peft Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when SkillInstall · skills CLI | 33,495 | MIT | ||
| fine-tuning-unsloth Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization SkillInstall · skills CLI | 33,495 | MIT | ||
| gemini Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring l SkillInstall · skills CLI | 33,495 | MIT | ||
| gemini-api-agent-platform Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK for enterprise AI applications. Covers SDK usage (Python, JS/TS, Go, J SkillInstall · skills CLI | 33,495 | MIT | ||
| gepetto Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that nee SkillInstall · skills CLI | 33,495 | MIT | ||
| inference-serving-llama-cpp Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when C SkillInstall · skills CLI | 33,495 | MIT | ||
| inference-serving-sglang Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflow SkillInstall · skills CLI | 33,495 | MIT | ||
| inference-serving-tensorrt-llm Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when SkillInstall · skills CLI | 33,495 | MIT | ||
| inference-serving-vllm Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference lat SkillInstall · skills CLI | 33,495 | MIT | ||
| llm-app-patterns Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when desig SkillInstall · skills CLI | 33,495 | MIT | ||
| llm-ops LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA SkillInstall · skills CLI | 33,495 | MIT | ||
| loki-mode Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, s SkillInstall · skills CLI | 33,495 | MIT | ||
| mechanistic-interpretability-nnsight Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to ru SkillInstall · skills CLI | 33,495 | MIT | ||
| mechanistic-interpretability-pyvene Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal SkillInstall · skills CLI | 33,495 | MIT | ||
| mechanistic-interpretability-saelens Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable featu SkillInstall · skills CLI | 33,495 | MIT | ||
| mechanistic-interpretability-transformer-lens Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and a SkillInstall · skills CLI | 33,495 | MIT | ||
| memory-search Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "wh SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-litgpt Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-mamba State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware- SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-nanogpt Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpat SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-rwkv RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux SkillInstall · skills CLI | 33,495 | MIT | ||
| model-architecture-torchtitan Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-clip OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-llava Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA l SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-segment-anything Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as pr SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-stable-diffusion State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, perfor SkillInstall · skills CLI | 33,495 | MIT | ||
| multimodal-whisper OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six mode SkillInstall · skills CLI | 33,495 | MIT | ||
| openai-docs Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Respo SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-awq Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-bitsandbytes Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-flash-attention Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long se SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-gguf GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-gptq Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× me SkillInstall · skills CLI | 33,495 | MIT | ||
| optimization-hqq Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, SkillInstall · skills CLI | 33,495 | MIT | ||
| parallel-agents Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis require SkillInstall · skills CLI | 33,495 | MIT | ||
| planning Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "star SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-grpo-rl-training Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-miles Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, ne SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-openrlhf High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO- SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-simpo Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No refere SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-slime Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data gener SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-torchforge Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstract SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-trl-fine-tuning Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and SkillInstall · skills CLI | 33,495 | MIT | ||
| post-training-verl Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL alg SkillInstall · skills CLI | 33,495 | MIT | ||
| prompt-caching Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching SkillInstall · skills CLI | 33,495 | MIT | ||
| prompt-engineer Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evalua SkillInstall · skills CLI | 33,495 | MIT | ||
| prompt-engineering-dspy Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP' SkillInstall · skills CLI | 33,495 | MIT | ||
| prompt-engineering-guidance Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with SkillInstall · skills CLI | 33,495 | MIT | ||
| prompt-engineering-instructor Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and SkillInstall · skills CLI | 33,495 | MIT | ||
| prompt-engineering-outlines Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and m SkillInstall · skills CLI | 33,495 | MIT | ||
| prompt-engineering-patterns Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. SkillInstall · skills CLI | 33,495 | MIT | ||
| prompt-library Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniqu SkillInstall · skills CLI | 33,495 | MIT | ||
| pydantic-ai Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support. SkillInstall · skills CLI | 33,495 | MIT | ||
| rag-engineer Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization SkillInstall · skills CLI | 33,495 | MIT | ||
| rag-implementation Retrieval-Augmented Generation patterns including chunking, embeddings, vector stores, and retrieval optimization Use when: rag, retrieval augmented, SkillInstall · skills CLI | 33,495 | MIT | ||
| rag-sentence-transformers Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrie SkillInstall · skills CLI | 33,495 | MIT | ||
| research-engineer An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical cor SkillInstall · skills CLI | 33,495 | MIT | ||
| safety-alignment-constitutional-ai Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF SkillInstall · skills CLI | 33,495 | MIT | ||
| safety-alignment-llamaguard Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, sel SkillInstall · skills CLI | 33,495 | MIT | ||
| safety-alignment-nemo-guardrails NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, SkillInstall · skills CLI | 33,495 | MIT | ||
| subagent-driven-development Use when executing implementation plans with independent tasks in the current session SkillInstall · skills CLI | 33,495 | MIT | ||
| tokenization-huggingface-tokenizers Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram al SkillInstall · skills CLI | 33,495 | MIT | ||
| tokenization-sentencepiece Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), SkillInstall · skills CLI | 33,495 | MIT | ||
| voice-agents Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and syn SkillInstall · skills CLI | 33,495 | MIT | ||
| voice-ai-development Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepg SkillInstall · skills CLI | 33,495 | MIT | ||
| cognee-cli Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory commands, managing datasets and conf SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-community Use when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, M SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-custom-graph-models Use when defining the shape of cognee's knowledge graph with graph_model= — writing DataPoint node classes, choosing identity and index fields so node SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-custom-pipelines Use when building your own cognee processing — writing custom tasks, chaining them into a pipeline with run_custom_pipeline or the lightweight run_pip SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-forget Use when removing data from cognee memory with forget() in the SDK, HTTP API, or CLI — finding which dataset and document hold the content to delete ( SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-improve-sessions Use when working with cognee's session memory or improve() — storing conversation turns, agent traces and feedback with session_id, bridging sessions SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-ingestion Use when putting data into cognee memory with remember() — choosing inputs (text, files, folders, URLs, repos, databases), datasets and node_sets, loa SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-install Use when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup, virtual env, extras selection, SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-integrations Use when the user wants to connect cognee to external services — switching LLM or embedding providers (OpenAI, Azure, Gemini, Anthropic, Ollama, OpenR SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-migrations Use when dealing with cognee database migrations — understanding when they run automatically, checking or repairing migration state with cognee-cli up SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-performance Use when cognee is slow, expensive, or hitting rate limits — speeding up or throttling ingestion (remember/cognify batching, chunk size, LLM and embed SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-permissions Use when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share gr SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-recall Use when querying cognee memory with recall() (or search()) — picking a search type, understanding auto-routing, scoping to datasets, node sets or ses SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| cognee-server Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK o SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| company-brain-company-qa Build one company memory from a SQL database, a support ticket export and a folder of documents, linked into one graph by cognee, then answer question SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| company-brain-follow-up-agent Turn your latest Granola call into next steps (owner, team, due date, and the Linear issue that already tracks each one) and post them to Slack, using SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| google-workspace-memory Remember a user's Google Calendar, Gmail and Drive in one cognee memory and answer questions across them, by default preparing their client meetings o SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| multiagent-memory-setup Import the user's own Claude Code and/or Codex session history (the prompts they typed and the agents' answers) into one cognee dataset, then answer q SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| personalized-email Draft a reply to your newest Gmail email that knows what you discussed in your Granola meetings, what you promised the sender, and how you write, usin SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| self-hosted-companion Chat with a companion that knows your notes folder (a journal, an Obsidian vault, any .md or .txt files) and every earlier chat, using cognee memory w SkillInstall · skills CLI | 33,299 | Apache-2.0 | ||
| xiaozhi-esp32 An MCP-based chatbot | 一个基于MCP的聊天机器人 MCP server | 33,230 | — | ||
| code-review-graph Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmar MCP server | 32,774 | — | ||
| gws-modelarmor Google Model Armor: Filter user-generated content for safety. SkillInstall · skills CLI | 32,308 | Apache-2.0 | ||
| gws-modelarmor-create-template Google Model Armor: Create a new Model Armor template. SkillInstall · skills CLI | 32,308 | Apache-2.0 | ||
| gws-modelarmor-sanitize-prompt Google Model Armor: Sanitize a user prompt through a Model Armor template. SkillInstall · skills CLI | 32,308 | Apache-2.0 | ||
| gws-modelarmor-sanitize-response Google Model Armor: Sanitize a model response through a Model Armor template. SkillInstall · skills CLI | 32,308 | Apache-2.0 | ||
| add-atomic-chat-tool Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API. SkillInstall · skills CLI | 31,114 | MIT | ||
| add-codex Use Codex (OpenAI's codex app-server) as a full agent provider — planning, tool orchestration, MCP tools, server-side history, session resume — alongs SkillInstall · skills CLI | 31,114 | MIT | ||
| add-cursor Use Cursor (local Agent SDK) as a full agent provider — planning, tool orchestration, MCP tools, session resume — alongside or instead of Claude. Curs SkillInstall · skills CLI | 31,114 | MIT | ||
| add-karpathy-llm-wiki Add a persistent wiki knowledge base to a NanoClaw group. Based on Karpathy's LLM Wiki pattern. Triggers on "add wiki", "wiki", "knowledge base", "llm SkillInstall · skills CLI | 31,114 | MIT | ||
| add-mnemon Add persistent graph-based memory via mnemon. Agents recall past context before responding and remember insights after each turn. SkillInstall · skills CLI | 31,114 | MIT | ||
| add-ollama-provider Route a NanoClaw agent group to a local Ollama model instead of the Anthropic API. Ollama speaks the Anthropic API natively (v1/messages), so no provi SkillInstall · skills CLI | 31,114 | MIT | ||
| add-ollama-tool Add Ollama MCP server so the container agent can call local models and optionally manage the Ollama model library. SkillInstall · skills CLI | 31,114 | MIT | ||
| add-opencode Use OpenCode as an agent provider. OpenRouter, OpenAI, Google, DeepSeek, etc. via OpenCode config — not the Anthropic Agent SDK. Per group via `ncl gr SkillInstall · skills CLI | 31,114 | MIT | ||
| customize Add new capabilities or modify NanoClaw behavior. Use when user wants to add channels (Telegram, Slack, email input), change triggers, add integration SkillInstall · skills CLI | 31,114 | MIT | ||
| init-first-agent Walk the operator through wiring the first NanoClaw agent to a DM channel — resolve the operator's channel identity, select or create the agent, and t SkillInstall · skills CLI | 31,114 | MIT | ||
| learn Distill a reusable skill from anything — a directory, a URL, pasted notes, or what you just did together — or refine an existing skill with new learni SkillInstall · skills CLI | 31,114 | MIT | ||
| manage-channels Wire channels to agent groups, manage isolation levels, add new channel groups. Use after adding a channel, during setup, or standalone to reconfigure SkillInstall · skills CLI | 31,114 | MIT | ||
| migrate-from-openclaw Migrate from OpenClaw to NanoClaw v2. Detects an existing OpenClaw installation, extracts identity, channel credentials, scheduled tasks, and other co SkillInstall · skills CLI | 31,114 | MIT | ||
| migrate-from-v1 Finish migrating a NanoClaw v1 install into v2. Run after `bash migrate-v2.sh` completes. Seeds the owner, migrates legacy memory, reconciles containe SkillInstall · skills CLI | 31,114 | MIT | ||
| migrate-memory Migrate legacy NanoClaw and Claude-native memory into the shared memory tree and provider-neutral standing instructions. Run after an update reports t SkillInstall · skills CLI | 31,114 | MIT | ||
| migrate-nanoclaw Extracts user customizations from a fork, generates a replayable migration guide, and upgrades to upstream by reapplying customizations on a clean bas SkillInstall · skills CLI | 31,114 | MIT | ||
| self-customize Customize your own agent — add capabilities, install packages, add MCP servers, edit code or CLAUDE.md. Use when the user asks you to add a feature, i SkillInstall · skills CLI | 31,114 | MIT | ||
| setup Run initial NanoClaw setup. Use when user wants to install NanoClaw, configure it, or go through first-time setup. Triggers on "setup", "install", "co SkillInstall · skills CLI | 31,114 | MIT | ||
| update-nanoclaw Transactionally update a customized NanoClaw checkout from official upstream without exposing live mounted source, with fork-safe skill refresh, mutab SkillInstall · skills CLI | 31,114 | MIT | ||
| update-skills Refresh installed NanoClaw channel and provider payloads (channels from their registry branch, providers from their skill payload) with fork-safe remo SkillInstall · skills CLI | 31,114 | MIT | ||
| welcome Introduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of SkillInstall · skills CLI | 31,114 | MIT | ||
| composio Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn inten MCP server | 31,077 | — | ||
| gpt-researcher An autonomous agent that conducts deep research on any data using any LLM providers MCP server | 30,692 | — | ||
| qwen-code An open-source AI coding agent that lives in your terminal. MCP server | 30,367 | — | ||
| FastGPT FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retr MCP server | 30,036 | — | ||
| adversarial-reviewer Tough, critical review of a diff or PR before merge, through hostile reviewer personas that catch shared blind spots. Use whenever the user wants a ch SkillInstall · skills CLI | 29,773 | MIT | ||
| agent-designer Design multi-agent systems (supervisor, swarm, pipeline) and tool schemas; find bottlenecks in run logs. Use whenever agents split work or a run is sl SkillInstall · skills CLI | 29,773 | MIT | ||
| agent-harness Use when an agent should drive a goal in one of this repo's domains to a verified close, before starting the work. Compiles the goal into a task plan SkillInstall · skills CLI | 29,773 | MIT | ||
| agent-launcher-orchestrator Use when someone wants to build, launch, grade or schedule a Claude Managed Agent in their own Anthropic account ('build me an agent', 'run this night SkillInstall · skills CLI | 29,773 | MIT | ||
| agent-memory Use when an agent keeps relearning the same correction, CLAUDE.md has grown unreadable, or you need to trace where a remembered rule came from. Promot SkillInstall · skills CLI | 29,773 | MIT | ||
| agent-protocol Use when C-suite advisor agents need to call each other or run a multi-role meeting. Defines invocation syntax, loop prevention, isolation and respons SkillInstall · skills CLI | 29,773 | MIT | ||
| agent-regression-evals Use before shipping any agent, prompt, model or tool change, or when a pass-rate drop needs a verdict. Runs repeated trials, gates candidate vs baseli SkillInstall · skills CLI | 29,773 | MIT | ||
| agent-run-forensics Use when asked why an agent did something, what a past session or run changed, whether tests really passed, or to verify a session summary. Answers fr SkillInstall · skills CLI | 29,773 | MIT |
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