[{"id": "skill:addyosmani/agent-skills/skills/context-engineering", "name": "context-engineering", "kind": "skill", "official": false, "desc": "Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.", "repo": "https://github.com/addyosmani/agent-skills/tree/HEAD/skills/context-engineering", "install": ["npx skills add addyosmani/agent-skills --skill context-engineering"], "stars": 117221, "pushed": "2026-11-14T04:33:56Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/claude-mem-cursor/skills/install", "name": "claude-mem-install", "kind": "skill", "official": false, "desc": "Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/claude-mem-cursor/skills/install", "install": ["npx skills add thedotmack/claude-mem --skill claude-mem-install"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "cursor", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/claude-mem-grok-bot/skills/install", "name": "claude-mem-install", "kind": "skill", "official": false, "desc": "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 Cursor required.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/claude-mem-grok-bot/skills/install", "install": ["npx skills add thedotmack/claude-mem --skill claude-mem-install"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "grok bot", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/plugin/skills/handoff", "name": "handoff", "kind": "skill", "official": false, "desc": "Generate a HANDOFF.md that captures goal, current state, files touched, failed attempts, and next steps — so a fresh Claude session can continue exactly where this one left off. Use when sessions are getting long, Claude keeps retrying the same broken solution, or the user wants to step away and resume later.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/plugin/skills/handoff", "install": ["npx skills add thedotmack/claude-mem --skill handoff"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/claude-mem-grok-bot/skills/host-observer", "name": "host-observer", "kind": "skill", "official": false, "desc": "Use this when fulfilling claude-mem observer jobs on Grok Bot: reply only skip_summary or one full observation XML, never prose.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/claude-mem-grok-bot/skills/host-observer", "install": ["npx skills add thedotmack/claude-mem --skill host-observer"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "grok bot", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/plugin/skills/how-it-works", "name": "how-it-works", "kind": "skill", "official": false, "desc": "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?\" or \"what is this thing doing?\".", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/plugin/skills/how-it-works", "install": ["npx skills add thedotmack/claude-mem --skill how-it-works"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "claude-mem", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/plugin/skills/knowledge-agent", "name": "knowledge-agent", "kind": "skill", "official": false, "desc": "Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused \"brains\" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/plugin/skills/knowledge-agent", "install": ["npx skills add thedotmack/claude-mem --skill knowledge-agent"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "claude-mem", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/claude-mem-cursor/skills/mem-search", "name": "mem-search", "kind": "skill", "official": false, "desc": "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.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/claude-mem-cursor/skills/mem-search", "install": ["npx skills add thedotmack/claude-mem --skill mem-search"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/cowork/skills/mem-search", "name": "mem-search", "kind": "skill", "official": false, "desc": "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 observations\", \"what did we do last session\", or wants prior-session context about a project, decision, file, or task. Searches the user's Claude-Mem (cmem.ai) memory.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/cowork/skills/mem-search", "install": ["npx skills add thedotmack/claude-mem --skill mem-search"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/plugin/skills/mem-search", "name": "mem-search", "kind": "skill", "official": false, "desc": "Smart search (default). Search claude-mem's persistent cross-session memory database in three steps: search, timeline, then selected get_observations. Use when user asks \"did we already solve this?\", \"how did we do X last time?\", or needs work from previous sessions.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/plugin/skills/mem-search", "install": ["npx skills add thedotmack/claude-mem --skill mem-search"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "claude-mem", "live": "Not checked (runs locally)"}, {"id": "skill:thedotmack/claude-mem/cowork/skills/mem-setup", "name": "mem-setup", "kind": "skill", "official": false, "desc": "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 Cowork\" or in the Claude app, or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the CMEM Pro plugin credentials.", "repo": "https://github.com/thedotmack/claude-mem/tree/HEAD/cowork/skills/mem-setup", "install": ["npx skills add thedotmack/claude-mem --skill mem-setup"], "stars": 116897, "pushed": "2026-11-13T18:56:42Z", "license": "Apache-2.0", "plat": "cmem.ai", "live": "Not checked (runs locally)"}, {"id": "skill:paperclipai/paperclip/skills/para-memory-files", "name": "para-memory-files", "kind": "skill", "official": false, "desc": "Use a file-based PARA memory system to store, retrieve, and organize durable knowledge across sessions. Trigger on saving facts, daily notes, entity records, weekly synthesis, recall, tacit user patterns, or plan memory.", "repo": "https://github.com/paperclipai/paperclip/tree/HEAD/skills/para-memory-files", "install": ["npx skills add paperclipai/paperclip --skill para-memory-files"], "stars": 113505, "pushed": "2026-11-13T09:51:38Z", "license": "MIT", "plat": "paperclip", "live": "Not checked (runs locally)"}, {"id": "skill:Egonex-AI/Understand-Anything/understand-anything-plugin/skills/understand-knowledge", "name": "understand-knowledge", "kind": "skill", "official": false, "desc": "Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.", "repo": "https://github.com/Egonex-AI/Understand-Anything/tree/HEAD/understand-anything-plugin/skills/understand-knowledge", "install": ["npx skills add Egonex-AI/Understand-Anything --skill understand-knowledge"], "stars": 92567, "pushed": "2026-11-13T03:17:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:headroomlabs-ai/headroom", "name": "headroom", "kind": "mcp", "official": null, "desc": "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 answers. Library, proxy, MCP server.", "repo": "https://github.com/headroomlabs-ai/headroom", "install": [], "stars": 79680, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:code-yeongyu/oh-my-openagent/packages/shared-skills/skills/coding-agent-sessions", "name": "coding-agent-sessions", "kind": "skill", "official": false, "desc": "Finds, reads, and reconstructs coding-agent sessions across Codex, Claude, OpenCode, OMO/Senpi, and other local agent logs. Use when asked to find or search past sessions, transcripts, or subagent runs, or to recover what an earlier session did.", "repo": "https://github.com/code-yeongyu/oh-my-openagent/tree/HEAD/packages/shared-skills/skills/coding-agent-sessions", "install": ["npx skills add code-yeongyu/oh-my-openagent --skill coding-agent-sessions"], "stars": 70897, "pushed": "2026-11-14T05:45:50Z", "license": "NOASSERTION", "plat": "codex, claude, opencode, omo/senpi", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:MemPalace/mempalace", "name": "mempalace", "kind": "mcp", "official": null, "desc": "The best-benchmarked open-source AI memory system. And it's free.", "repo": "https://github.com/MemPalace/mempalace", "install": [], "stars": 60561, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/scientific-agent-skills/skills/autoskill", "name": "autoskill", "kind": "skill", "official": false, "desc": "Analyzes user-requested Screenpipe history windows to detect repeated research workflows, match existing scientific skills, and stage new skill drafts or composition recipes for review. Requires a reachable Screenpipe HTTP API, normally on localhost:3030. Detection and embedding inference run locally; the selected LLM receives redacted app/title cluster summaries and matched skill descriptions. Use only when the user explicitly asks to analyze their recent work and propose skills.", "repo": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/HEAD/skills/autoskill", "install": ["npx skills add K-Dense-AI/scientific-agent-skills --skill autoskill"], "stars": 57090, "pushed": "2026-11-09T09:17:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:K-Dense-AI/scientific-agent-skills/skills/ncats-arax", "name": "ncats-arax", "kind": "skill", "official": false, "desc": "Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publications, and knowledge-source provenance. Do not use for inference, ranking, open-ended pathfinding, clinical guidance, or sensitive queries.", "repo": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/HEAD/skills/ncats-arax", "install": ["npx skills add K-Dense-AI/scientific-agent-skills --skill ncats-arax"], "stars": 57090, "pushed": "2026-11-09T09:17:48Z", "license": "MIT", "plat": "ncats translator arax", "live": "Not checked (runs locally)"}, {"id": "skill:sickn33/agentic-awesome-skills/plugins/aasb-aas-agent-mcp-builder/skills/agent-memory-systems", "name": "agent-memory-systems", "kind": "skill", "official": false, "desc": "Design tenant-scoped memory, retrieval and retention for agents. Use when planning RAG, conversation history, vector stores or remembering across sessions.", "repo": "https://github.com/sickn33/agentic-awesome-skills/tree/HEAD/plugins/aasb-aas-agent-mcp-builder/skills/agent-memory-systems", "install": ["npx skills add sickn33/agentic-awesome-skills --skill agent-memory-systems"], "stars": 49672, "pushed": "2026-11-13T22:02:29Z", "license": "MIT", "plat": "agent", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.DeusData/codebase-memory-mcp", "name": "Codebase Memory", "kind": "mcp", "official": null, "desc": "Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.", "repo": "https://github.com/DeusData/codebase-memory-mcp", "install": ["npm:codebase-memory-mcp", "pypi:codebase-memory-mcp", "mcpb:https://github.com/DeusData/codebase-memory-mcp/releases/download/v0.12.1/codebase-memory-mcp-darwin-amd64.mcpb", "mcpb:https://github.com/DeusData/codebase-memory-mcp/releases/download/v0.12.1/codebase-memory-mcp-darwin-arm64.mcpb", "mcpb:https://github.com/DeusData/codebase-memory-mcp/releases/download/v0.12.1/codebase-memory-mcp-linux-amd64-portable.mcpb", "mcpb:https://github.com/DeusData/codebase-memory-mcp/releases/download/v0.12.1/codebase-memory-mcp-linux-arm64-portable.mcpb", "mcpb:https://github.com/DeusData/codebase-memory-mcp/releases/download/v0.12.1/codebase-memory-mcp-windows-amd64.mcpb", "mcpb:https://github.com/DeusData/codebase-memory-mcp/releases/download/v0.12.1/codebase-memory-mcp-windows-arm64.mcpb"], "stars": 48580, "pushed": "2026-11-12T22:19:10Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "plugin:anthropics/claude-plugins-official:claude-md-management", "name": "claude-md-management", "kind": "claude-plugin", "official": null, "desc": "Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.", "repo": "https://github.com/anthropics/claude-plugins-official", "install": ["claude plugin install claude-md-management@claude-plugins-official"], "stars": 47064, "pushed": "2026-11-13T01:14:19Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "plugin:anthropics/claude-plugins-official:session-report", "name": "session-report", "kind": "claude-plugin", "official": null, "desc": "Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects transcripts.", "repo": "https://github.com/anthropics/claude-plugins-official", "install": ["claude plugin install session-report@claude-plugins-official"], "stars": 47064, "pushed": "2026-11-13T01:14:19Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:wshobson/agents/plugins/superself/skills/superself", "name": "superself", "kind": "skill", "official": false, "desc": "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 registered project): read `self context` at session start, attach work to a work unit, report with evidence, and record confirmed decisions so the next session picks up where this one left off.", "repo": "https://github.com/wshobson/agents/tree/HEAD/plugins/superself/skills/superself", "install": ["npx skills add wshobson/agents --skill superself"], "stars": 42495, "pushed": "2026-11-09T01:08:33Z", "license": "MIT", "plat": "superself", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/copilot-spaces", "name": "copilot-spaces", "kind": "skill", "official": false, "desc": "Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a \"Copilot space\", want to load context from a shared knowledge base, discover available spaces, or ask questions grounded in curated project documentation, code, and instructions.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/copilot-spaces", "install": ["npx skills add github/awesome-copilot --skill copilot-spaces"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "github copilot", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/memory-merger", "name": "memory-merger", "kind": "skill", "official": false, "desc": "Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/memory-merger", "install": ["npx skills add github/awesome-copilot --skill memory-merger"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/mini-context-graph", "name": "mini-context-graph", "kind": "skill", "official": false, "desc": "A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into the graph, and stores raw content for evidence retrieval. Knowledge accumulates and cross-references; it is never re-derived from scratch.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/mini-context-graph", "install": ["npx skills add github/awesome-copilot --skill mini-context-graph"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:github/awesome-copilot/skills/on-device-delegate", "name": "on-device-delegate", "kind": "skill", "official": false, "desc": "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 answer) to the local-coding plugin''s on-device worker, which runs on the local MAI Code 1.1 Flash model. Use for log and test triage, summarizing many files, or extracting facts from large inputs. When the user names this skill, call the skill tool in the same response as your first other tool call, never as a separate step.", "repo": "https://github.com/github/awesome-copilot/tree/HEAD/skills/on-device-delegate", "install": ["npx skills add github/awesome-copilot --skill on-device-delegate"], "stars": 41140, "pushed": "2026-11-13T21:37:52Z", "license": "MIT", "plat": "local-coding plugin", "live": "Not checked (runs locally)"}, {"id": "skill:virgiliojr94/book-to-skill", "name": "book-to-skill", "kind": "skill", "official": false, "desc": "Converts books and documents (PDF, EPUB, DOCX, HTML, Markdown, plain text, RTF, MOBI/AZW with Calibre) into structured agent skills, extracting frameworks, mental models, principles, techniques, and anti-patterns. Use when the user wants to study a document through GitHub Copilot CLI, Amp, Claude Code, Hermes Agent, OpenCode, or OpenClaw, apply an author's frameworks while working, or build a reusable knowledge base from a file.", "repo": "https://github.com/virgiliojr94/book-to-skill", "install": ["npx skills add virgiliojr94/book-to-skill --skill book-to-skill"], "stars": 37790, "pushed": "2026-11-08T21:22:31Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mksglu/context-mode", "name": "context-mode", "kind": "mcp", "official": null, "desc": "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 with Claude Code, Codex, Pi, OMP, OpenCode, Gemini CLI, Copilot CLI and 4 more agents. Zero telemetry.", "repo": "https://github.com/mksglu/context-mode", "install": [], "stars": 34063, "pushed": "2026-11-14T05:25:58Z", "license": "NOASSERTION", "plat": "context-mode", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/agent-memory-mcp", "name": "agent-memory-mcp", "kind": "skill", "official": false, "desc": "A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/agent-memory-mcp", "install": ["npx skills add davila7/claude-code-templates --skill agent-memory-mcp"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/agent-memory-systems", "name": "agent-memory-systems", "kind": "skill", "official": false, "desc": "Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.  Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets.  The field is fragm", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/agent-memory-systems", "install": ["npx skills add davila7/claude-code-templates --skill agent-memory-systems"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-research/conversation-memory", "name": "conversation-memory", "kind": "skill", "official": false, "desc": "Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-research/conversation-memory", "install": ["npx skills add davila7/claude-code-templates --skill conversation-memory"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davila7/claude-code-templates/cli-tool/components/skills/ai-maestro/memory-search", "name": "memory-search", "kind": "skill", "official": false, "desc": "Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to \"search memory\", \"what did we discuss\", \"remember when\", \"find previous conversation\", \"check history\", or before starting work to recall prior decisions.", "repo": "https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/ai-maestro/memory-search", "install": ["npx skills add davila7/claude-code-templates --skill memory-search"], "stars": 33495, "pushed": "2026-11-14T03:16:32Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-cli", "name": "cognee-cli", "kind": "skill", "official": false, "desc": "Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory commands, managing datasets and config, or database migrations.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-cli", "install": ["npx skills add topoteretes/cognee --skill cognee-cli"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-community", "name": "cognee-community", "kind": "skill", "official": false, "desc": "Use when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, Memgraph, DuckDB, NetworkX, …), data-source connectors (Slack, Gmail, Notion, Confluence, Google Drive), custom tasks/pipelines/retrievers (Exa, ScrapeGraph, codify), Keywords AI observability — or wants to contribute a package to the cognee-community repo.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-community", "install": ["npx skills add topoteretes/cognee --skill cognee-community"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-custom-graph-models", "name": "cognee-custom-graph-models", "kind": "skill", "official": false, "desc": "Use when defining the shape of cognee's knowledge graph with graph_model= — writing DataPoint node classes, choosing identity and index fields so nodes merge and are searchable, declaring typed Edge fields and FromIdentity references, building a model from a JSON schema, or debugging duplicated nodes, missing edges, or InvalidReferenceTypeError.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-custom-graph-models", "install": ["npx skills add topoteretes/cognee --skill cognee-custom-graph-models"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-custom-pipelines", "name": "cognee-custom-pipelines", "kind": "skill", "official": false, "desc": "Use when building your own cognee processing — writing custom tasks, chaining them into a pipeline with run_custom_pipeline or the lightweight run_pipeline (from cognee.pipelines import run_pipeline), storing custom DataPoints with add_data_points, running custom enrichment over the existing graph, checking pipeline run status, or debugging how data flows between tasks (batch_size, data_per_batch, ctx, Drop, enriches).", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-custom-pipelines", "install": ["npx skills add topoteretes/cognee --skill cognee-custom-pipelines"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-forget", "name": "cognee-forget", "kind": "skill", "official": false, "desc": "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 (listing datasets and data items, reading raw content), choosing between deleting one document, a whole dataset, or only the graph/vector memory, and doing it safely.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-forget", "install": ["npx skills add topoteretes/cognee --skill cognee-forget"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-improve-sessions", "name": "cognee-improve-sessions", "kind": "skill", "official": false, "desc": "Use when working with cognee's session memory or improve() — storing conversation turns, agent traces and feedback with session_id, bridging sessions into the permanent graph, reading an ImproveResult, understanding why an improve stage was skipped or already_completed, or tuning the IMPROVE_* settings.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-improve-sessions", "install": ["npx skills add topoteretes/cognee --skill cognee-improve-sessions"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-ingestion", "name": "cognee-ingestion", "kind": "skill", "official": false, "desc": "Use when putting data into cognee memory with remember() — choosing inputs (text, files, folders, URLs, repos, databases), datasets and node_sets, loaders, ontologies, the graph extractor (LLM or GLiNER), chunking, dry-run cost estimates, or when remember() raises on a keyword argument.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-ingestion", "install": ["npx skills add topoteretes/cognee --skill cognee-ingestion"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-install", "name": "cognee-install", "kind": "skill", "official": false, "desc": "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, or a minimal working example.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-install", "install": ["npx skills add topoteretes/cognee --skill cognee-install"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-migrations", "name": "cognee-migrations", "kind": "skill", "official": false, "desc": "Use when dealing with cognee database migrations — understanding when they run automatically, checking or repairing migration state with cognee-cli upgrade/downgrade/stamp/current, a write blocked by a failed migration, authoring a new Alembic (relational schema) revision or a graph/vector data migration, or moving data between systems (relational DB import, memory export/import).", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-migrations", "install": ["npx skills add topoteretes/cognee --skill cognee-migrations"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-performance", "name": "cognee-performance", "kind": "skill", "official": false, "desc": "Use when cognee is slow, expensive, or hitting rate limits — speeding up or throttling ingestion (remember/cognify batching, chunk size, LLM and embedding rate limits, per-stage models), cutting read latency, estimating cost before ingesting, running work in the background, or planning how to scale a deployment.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-performance", "install": ["npx skills add topoteretes/cognee --skill cognee-performance"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-permissions", "name": "cognee-permissions", "kind": "skill", "official": false, "desc": "Use when working with cognee's users, permissions, and multi-tenancy — creating users, tenants and roles, sharing datasets (read/write/delete/share grants), acting as a specific user in the SDK or authenticating over HTTP (login, API keys), turning access control on or off, debugging PermissionDeniedError or missing datasets, or understanding where permissions are enforced and how datasets are isolated.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-permissions", "install": ["npx skills add topoteretes/cognee --skill cognee-permissions"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-recall", "name": "cognee-recall", "kind": "skill", "official": false, "desc": "Use when querying cognee memory with recall() (or search()) — picking a search type, understanding auto-routing, scoping to datasets, node sets or sessions, getting context or citations instead of an answer, reading the results, or debugging empty or unexpected results.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-recall", "install": ["npx skills add topoteretes/cognee --skill cognee-recall"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/cognee-server", "name": "cognee-server", "kind": "skill", "official": false, "desc": "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 or other clients to it, and choosing the right auth posture.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/cognee-server", "install": ["npx skills add topoteretes/cognee --skill cognee-server"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/company-brain-company-qa", "name": "company-brain-company-qa", "kind": "skill", "official": false, "desc": "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 questions that need several of those sources together. Use when someone wants to connect their company's database, tickets and docs, or asks who owns, decided or is handling something across them. Runs locally; reads the sources, writes only to cognee's memory.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/company-brain-company-qa", "install": ["npx skills add topoteretes/cognee --skill company-brain-company-qa"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/company-brain-follow-up-agent", "name": "company-brain-follow-up-agent", "kind": "skill", "official": false, "desc": "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 cognee memory of your calls, Linear issues and Gmail inbox. Use when someone asks for the next steps or action items of their latest call. Runs locally; reads Gmail read-only; posts to Slack only when Slack is set up.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/company-brain-follow-up-agent", "install": ["npx skills add topoteretes/cognee --skill company-brain-follow-up-agent"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "cognee", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/google-workspace-memory", "name": "google-workspace-memory", "kind": "skill", "official": false, "desc": "Remember a user's Google Calendar, Gmail and Drive in one cognee memory and answer questions across them, by default preparing their client meetings of the coming week (which orders are late or at risk, why, and what to say). Use when someone asks to connect, ingest or sync their Google Workspace, or asks a question that needs their calendar, email and Drive together. Runs locally; reads Google read-only.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/google-workspace-memory", "install": ["npx skills add topoteretes/cognee --skill google-workspace-memory"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "google workspace", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/multiagent-memory-setup", "name": "multiagent-memory-setup", "kind": "skill", "official": false, "desc": "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 questions over it, across every agent and per agent. Use when someone wants to load, import or backfill their previous coding-agent sessions into cognee, give several coding agents one shared memory of past work, or ask what their earlier sessions were about. Runs locally; reads ~/.claude and ~/.codex read-only, writes only to cognee's memory.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/multiagent-memory-setup", "install": ["npx skills add topoteretes/cognee --skill multiagent-memory-setup"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/personalized-email", "name": "personalized-email", "kind": "skill", "official": false, "desc": "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, using cognee memory. Use when someone asks to answer or reply to their latest email in their own tone. Runs locally; reads Gmail read-only; the draft is printed, never sent.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/personalized-email", "install": ["npx skills add topoteretes/cognee --skill personalized-email"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "gmail", "live": "Not checked (runs locally)"}, {"id": "skill:topoteretes/cognee/.agents/skills/self-hosted-companion", "name": "self-hosted-companion", "kind": "skill", "official": false, "desc": "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 with local databases. Use when someone wants to ask questions about their own notes, or to talk with a companion that remembers past conversations. Runs locally; reads the notes folder, writes only to cognee's memory.", "repo": "https://github.com/topoteretes/cognee/tree/HEAD/.agents/skills/self-hosted-companion", "install": ["npx skills add topoteretes/cognee --skill self-hosted-companion"], "stars": 33299, "pushed": "2026-11-13T23:04:08Z", "license": "Apache-2.0", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:nanocoai/nanoclaw/.claude/skills/add-karpathy-llm-wiki", "name": "add-karpathy-llm-wiki", "kind": "skill", "official": false, "desc": "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 wiki\", \"karpathy wiki\".", "repo": "https://github.com/nanocoai/nanoclaw/tree/HEAD/.claude/skills/add-karpathy-llm-wiki", "install": ["npx skills add nanocoai/nanoclaw --skill add-karpathy-llm-wiki"], "stars": 31114, "pushed": "2026-11-13T20:45:07Z", "license": "MIT", "plat": "nanoclaw", "live": "Not checked (runs locally)"}, {"id": "skill:nanocoai/nanoclaw/.claude/skills/add-mnemon", "name": "add-mnemon", "kind": "skill", "official": false, "desc": "Add persistent graph-based memory via mnemon. Agents recall past context before responding and remember insights after each turn.", "repo": "https://github.com/nanocoai/nanoclaw/tree/HEAD/.claude/skills/add-mnemon", "install": ["npx skills add nanocoai/nanoclaw --skill add-mnemon"], "stars": 31114, "pushed": "2026-11-13T20:45:07Z", "license": "MIT", "plat": "nanoclaw", "live": "Not checked (runs locally)"}, {"id": "skill:nanocoai/nanoclaw/.claude/skills/learn", "name": "learn", "kind": "skill", "official": false, "desc": "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 learnings. Use when the user says '/learn', 'learn this', 'turn this into a skill', 'capture this workflow', 'make a skill from <source>', or 'improve/update the <name> skill'. Produces or updates a .claude/skills/<name>/SKILL.md authored to NanoClaw's skill guidelines. (This CREATES or REFINES a skill from a source; it does not install existing skills f", "repo": "https://github.com/nanocoai/nanoclaw/tree/HEAD/.claude/skills/learn", "install": ["npx skills add nanocoai/nanoclaw --skill learn"], "stars": 31114, "pushed": "2026-11-13T20:45:07Z", "license": "MIT", "plat": "nanoclaw", "live": "Not checked (runs locally)"}, {"id": "skill:nanocoai/nanoclaw/.claude/skills/migrate-memory", "name": "migrate-memory", "kind": "skill", "official": false, "desc": "Migrate legacy NanoClaw and Claude-native memory into the shared memory tree and provider-neutral standing instructions. Run after an update reports the shared-memory breaking change, or when a group still has .seed.md, legacy CLAUDE.md/CLAUDE.local.md, Claude auto-memory, or an unindexed imported-agent-memory.md. Triggers on \"migrate memory\", \"legacy memory\", \"the agent forgot everything after the switch\".", "repo": "https://github.com/nanocoai/nanoclaw/tree/HEAD/.claude/skills/migrate-memory", "install": ["npx skills add nanocoai/nanoclaw --skill migrate-memory"], "stars": 31114, "pushed": "2026-11-13T20:45:07Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering/agent-memory/skills/agent-memory", "name": "agent-memory", "kind": "skill", "official": false, "desc": "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. Promotes facts through four tiers only on recurrence across sessions and days, with memory_promote.py and a human adopt step.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering/agent-memory/skills/agent-memory", "install": ["npx skills add alirezarezvani/claude-skills --skill agent-memory"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/c-level-advisor/skills/context-engine", "name": "context-engine", "kind": "skill", "official": false, "desc": "Use when starting a C-suite advisor session, when company context is missing or older than 90 days, or before company data goes to an external service. Loads and enriches ~/.claude/company-context.md and applies anonymization rules.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/c-level-advisor/skills/context-engine", "install": ["npx skills add alirezarezvani/claude-skills --skill context-engine"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/c-level-advisor/skills/cs-onboard", "name": "cs-onboard", "kind": "skill", "official": false, "desc": "Use when setting up the C-suite advisors for the first time, or when company context is missing or stale after a raise or pivot. Interviews the founder across 7 dimensions and writes ~/.claude/company-context.md.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/c-level-advisor/skills/cs-onboard", "install": ["npx skills add alirezarezvani/claude-skills --skill cs-onboard"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering/llm-wiki/skills/llm-wiki", "name": "llm-wiki", "kind": "skill", "official": false, "desc": "Use when building or maintaining an Obsidian second brain that an LLM keeps up to date, or when ingesting a paper, article or book into it. Ingests with ingest_source.py, maintains index and links and checks the vault with lint_wiki.py.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering/llm-wiki/skills/llm-wiki", "install": ["npx skills add alirezarezvani/claude-skills --skill llm-wiki"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:alirezarezvani/claude-skills/engineering/memory-engineering/skills/memory-engineering", "name": "memory-engineering", "kind": "skill", "official": false, "desc": "Use before adding memory to an agent or when a memory store keeps growing (long context vs RAG vs graph vs agentic memory, what to expire). Prices the design with memory_cost_profiler.py and refuses one without a forgetting policy via forgetting_policy_linter.py.", "repo": "https://github.com/alirezarezvani/claude-skills/tree/HEAD/engineering/memory-engineering/skills/memory-engineering", "install": ["npx skills add alirezarezvani/claude-skills --skill memory-engineering"], "stars": 29773, "pushed": "2026-11-12T10:35:06Z", "license": "MIT", "plat": "agent", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/.agents/skills/planning-with-files", "name": "planning-with-files", "kind": "skill", "official": false, "desc": "Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands d", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/.agents/skills/planning-with-files", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/.continue/skills/planning-with-files", "name": "planning-with-files", "kind": "skill", "official": false, "desc": "Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. This adapter registers no lifecycle or Stop hook, never requests continuation, and neve", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/.continue/skills/planning-with-files", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/.gemini/skills/planning-with-files", "name": "planning-with-files", "kind": "skill", "official": false, "desc": "Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; Gemini lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. The session-end hook reports status only; it does not request continuation or run commands dec", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/.gemini/skills/planning-with-files", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/.kiro/skills/planning-with-files", "name": "planning-with-files", "kind": "skill", "official": false, "desc": "Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; Kiro skill instructions and steering state read selected project planning context. Recovery reads project planning files and their timestamps only, not agent transcript stores. This adapter registers no Stop hook, never requests continuation, and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/.kiro/skills/planning-with-files", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/skills/i18n/planning-with-files-ar", "name": "planning-with-files-ar", "kind": "skill", "official": false, "desc": "تخطيط مستمر قائم على الملفات لعمل وكلاء الذكاء الاصطناعي متعدد الخطوات. يحتفظ بملفات task_plan.md و findings.md و progress.md على القرص، وتحقن خطافات دورة الحياة سياق التخطيط المحدد للمشروع. تقرأ الاستعادة التلقائية ملفات تخطيط المشروع فقط. يمكن للأمر الصريح session-catchup.py --metadata فحص بيانات وصفية لجلسات الوكيل المحلية التابعة للمشروع نفسه، بينما قد يصدر --replay مقتطفات محدودة مؤطرة بقيمة nonce. يمكن للوضع المحكوم الاختياري طلب المتابعة فقط عندما يدعمه المضيف، ولا ينفذ أبدًا أوامر معلنة ", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/skills/i18n/planning-with-files-ar", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files-ar"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/skills/i18n/planning-with-files-de", "name": "planning-with-files-de", "kind": "skill", "official": false, "desc": "Persistente dateibasierte Planung für mehrstufige Arbeit mit KI-Agenten. Hält task_plan.md, findings.md und progress.md auf dem Datenträger; Lebenszyklus-Hooks speisen ausgewählten Planungskontext des Projekts ein. Die automatische Wiederherstellung liest nur die Planungsdateien des Projekts. Nur ein ausdrücklicher Aufruf von session-catchup.py --metadata darf lokale Sitzungsmetadaten desselben Projekts prüfen; --replay darf begrenzte, nonce-gerahmte Auszüge ausgeben. Der optionale Gate-Modus ka", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/skills/i18n/planning-with-files-de", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files-de"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/skills/i18n/planning-with-files-es", "name": "planning-with-files-es", "kind": "skill", "official": false, "desc": "Planificación persistente basada en archivos para tareas multipaso de agentes de IA. Mantiene task_plan.md, findings.md y progress.md en disco; los hooks del ciclo de vida inyectan contexto seleccionado de planificación del proyecto. La recuperación automática solo lee los archivos de planificación del proyecto. session-catchup.py --metadata, solicitado de forma explícita, puede inspeccionar metadatos locales de sesiones del mismo proyecto; --replay puede emitir extractos limitados y enmarcados ", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/skills/i18n/planning-with-files-es", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files-es"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/skills/i18n/planning-with-files-zh", "name": "planning-with-files-zh", "kind": "skill", "official": false, "desc": "用于多步骤 AI 代理工作的持久化文件规划系统。将 task_plan.md、findings.md 和 progress.md 保存在磁盘上，生命周期钩子会注入选定的项目规划上下文。自动恢复只读取项目规划文件。只有显式运行 session-catchup.py --metadata 才会检查本机同项目的会话元数据；--replay 可输出有长度限制且由 nonce 框定的同项目摘录。可选门禁仅在宿主支持时请求继续，绝不执行 Markdown 中声明的命令。本技能没有网络上传路径。适用于研究或需要 5 次以上工具调用的工作。触发词：任务规划、项目计划、制定计划、分解任务、多步骤规划、进度跟踪、文件规划、帮我规划、拆解项目", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/skills/i18n/planning-with-files-zh", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files-zh"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:OthmanAdi/planning-with-files/skills/i18n/planning-with-files-zht", "name": "planning-with-files-zht", "kind": "skill", "official": false, "desc": "用於多步驟 AI 代理工作的持久化檔案規劃。將 task_plan.md、findings.md 與 progress.md 保存在磁碟上，生命週期鉤子會注入選定的專案規劃內容。自動恢復只讀取專案規劃檔案；只有明確執行 session-catchup.py --metadata 才會檢查本機同一專案的代理工作階段中繼資料，--replay 則會輸出有界且以 nonce 框定的摘錄。選用的閘門模式只會在主機支援時要求繼續，而且絕不執行 Markdown 中宣告的命令。此技能沒有網路上傳路徑。適用於研究或需要超過 5 次工具呼叫的工作。觸發詞：任務規劃、專案計畫、制定計畫、分解任務、多步驟規劃、進度追蹤、檔案規劃、幫我規劃、拆解專案", "repo": "https://github.com/OthmanAdi/planning-with-files/tree/HEAD/skills/i18n/planning-with-files-zht", "install": ["npx skills add OthmanAdi/planning-with-files --skill planning-with-files-zht"], "stars": 28049, "pushed": "2026-11-11T20:55:30Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:titanwings/distilly", "name": "distilly", "kind": "skill", "official": false, "desc": "Set up the owner profile so a personal agent knows who it works for (first-run setup, \\\"get to know me\\\"), or distill colleague, relationship, or celebrity source material into reusable Person Profiles for agents.", "repo": "https://github.com/titanwings/distilly", "install": ["npx skills add titanwings/distilly --skill distilly"], "stars": 26562, "pushed": "2026-10-13T05:57:17Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:google/skills/skills/cloud/cloud-operator-share-context", "name": "cloud-operator-share-context", "kind": "skill", "official": false, "desc": "Shares Google Cloud operating context the user or their team already have — environments, projects, services and regions, product preferences, best practices, architecture guidance, runbooks — found in agent instruction files, local memory, skills and workflows, and the repository's GCP docs, with the operator agent's memory after the user reviews the list. Use when the user runs this skill, accepts the cloud-operator or cloud-operator-setup skill's offer to share their existing Google Cloud con", "repo": "https://github.com/google/skills/tree/HEAD/skills/cloud/cloud-operator-share-context", "install": ["npx skills add google/skills --skill cloud-operator-share-context"], "stars": 24146, "pushed": "2026-11-13T17:51:35Z", "license": "Apache-2.0", "plat": "google cloud", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:liyupi/ai-guide", "name": "ai-guide", "kind": "mcp", "official": null, "desc": "程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术", "repo": "https://github.com/liyupi/ai-guide", "install": [], "stars": 22104, "pushed": null, "license": null, "plat": "ai-guide", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/monitor-experiment", "name": "monitor-experiment", "kind": "skill", "official": false, "desc": "Monitor running experiments, check progress, collect results. Use when user says \"check results\", \"is it done\", \"monitor\", or wants experiment output.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/monitor-experiment", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill monitor-experiment"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:wanshuiyin/Auto-claude-code-research-in-sleep/skills/paper-claim-audit", "name": "paper-claim-audit", "kind": "skill", "official": false, "desc": "Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says \\\"审查论文数据\\\", \\\"check paper claims\\\", \\\"verify numbers\\\", \\\"论文数字核对\\\", or before submission to ensure paper-to-evidence fidelity.", "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/paper-claim-audit", "install": ["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill paper-claim-audit"], "stars": 19162, "pushed": "2026-11-11T07:39:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:microsoft/SkillOpt/plugins/codex/skills/skillopt-sleep", "name": "skillopt-sleep", "kind": "skill", "official": false, "desc": "Use when the user wants Codex to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, wants Codex to review past sessions, learn preferences, consolidate memory/skills, run dry-run/run/adopt/status for SkillOpt-Sleep, or schedule background self-optimization. Drives the skillopt_sleep engine: harvest past sessions -> mine recurring tasks -> replay through a selected backend -> consolidate validated memory + skills behind a held-out gate.", "repo": "https://github.com/microsoft/SkillOpt/tree/HEAD/plugins/codex/skills/skillopt-sleep", "install": ["npx skills add microsoft/SkillOpt --skill skillopt-sleep"], "stars": 19069, "pushed": "2026-11-10T20:10:50Z", "license": "MIT", "plat": "codex", "live": "Not checked (runs locally)"}, {"id": "skill:microsoft/SkillOpt/plugins/cursor/skills/skillopt-sleep", "name": "skillopt-sleep", "kind": "skill", "official": false, "desc": "Use when the user wants Cursor to learn from recent local sessions, asks for an offline sleep or dream cycle, wants to consolidate recurring work into a Cursor skill, or requests SkillOpt-Sleep status, harvest, dry-run, run, scheduling, review, or adoption. Drives the validation-gated skillopt_sleep engine with Cursor transcripts and the optional Cursor Agent CLI backend.", "repo": "https://github.com/microsoft/SkillOpt/tree/HEAD/plugins/cursor/skills/skillopt-sleep", "install": ["npx skills add microsoft/SkillOpt --skill skillopt-sleep"], "stars": 19069, "pushed": "2026-11-10T20:10:50Z", "license": "MIT", "plat": "cursor", "live": "Not checked (runs locally)"}, {"id": "skill:microsoft/SkillOpt/plugins/dsh/skills/skillopt-sleep", "name": "skillopt-sleep", "kind": "skill", "official": false, "desc": "Use when the user wants the dsh agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, skill/memory consolidation, or says things like 'make my agent better the more I use it', 'review my past sessions', 'learn my preferences', 'consolidate what you learned', 'run the sleep cycle', or wants to schedule background self-optimization. Drives the skillopt_sleep engine through the skillopt_* tools: harvest past sessions -> mine recurring tasks -> replay via a se", "repo": "https://github.com/microsoft/SkillOpt/tree/HEAD/plugins/dsh/skills/skillopt-sleep", "install": ["npx skills add microsoft/SkillOpt --skill skillopt-sleep"], "stars": 19069, "pushed": "2026-11-10T20:10:50Z", "license": "MIT", "plat": "dsh agent", "live": "Not checked (runs locally)"}, {"id": "skill:microsoft/SkillOpt/plugins/openclaw", "name": "skillopt-sleep", "kind": "skill", "official": false, "desc": "Reference-only OpenClaw adaptation of SkillOpt-Sleep. Use it to study or port the contributed DeepSeek wrapper, not as a ready-to-run installation.", "repo": "https://github.com/microsoft/SkillOpt/tree/HEAD/plugins/openclaw", "install": ["npx skills add microsoft/SkillOpt --skill skillopt-sleep"], "stars": 19069, "pushed": "2026-11-10T20:10:50Z", "license": "MIT", "plat": "openclaw", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:xming521/WeClone", "name": "WeClone", "kind": "mcp", "official": null, "desc": "Build a portrait of your life. Assistants that know you better. Clones that sound more like you.", "repo": "https://github.com/xming521/WeClone", "install": [], "stars": 18405, "pushed": null, "license": null, "plat": "weclone", "live": "Not checked (runs locally)"}, {"id": "skill:muratcankoylan/Agent-Skills-for-Context-Engineering/skills/context-compression", "name": "context-compression", "kind": "skill", "official": false, "desc": "This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.", "repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/HEAD/skills/context-compression", "install": ["npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-compression"], "stars": 18347, "pushed": "2026-10-12T02:06:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:muratcankoylan/Agent-Skills-for-Context-Engineering/skills/context-fundamentals", "name": "context-fundamentals", "kind": "skill", "official": false, "desc": "This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goe", "repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/HEAD/skills/context-fundamentals", "install": ["npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"], "stars": 18347, "pushed": "2026-10-12T02:06:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:muratcankoylan/Agent-Skills-for-Context-Engineering/skills/context-optimization", "name": "context-optimization", "kind": "skill", "official": false, "desc": "This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.", "repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/HEAD/skills/context-optimization", "install": ["npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-optimization"], "stars": 18347, "pushed": "2026-10-12T02:06:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:muratcankoylan/Agent-Skills-for-Context-Engineering/skills/filesystem-context", "name": "filesystem-context", "kind": "skill", "official": false, "desc": "This skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff files, filesystem memory, or cleanup policies for context stored outside the prompt.", "repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/HEAD/skills/filesystem-context", "install": ["npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill filesystem-context"], "stars": 18347, "pushed": "2026-10-12T02:06:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:muratcankoylan/Agent-Skills-for-Context-Engineering/skills/latent-briefing", "name": "latent-briefing", "kind": "skill", "official": false, "desc": "This skill should be used when the user asks to \\\"share memory between agents\\\", \\\"KV cache compaction for multi-agent\\\", \\\"orchestrator worker context\\\", \\\"latent briefing\\\", \\\"reduce worker tokens\\\", \\\"cross-agent memory without summarization\\\", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.", "repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/HEAD/skills/latent-briefing", "install": ["npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill latent-briefing"], "stars": 18347, "pushed": "2026-10-12T02:06:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:muratcankoylan/Agent-Skills-for-Context-Engineering/skills/memory-systems", "name": "memory-systems", "kind": "skill", "official": false, "desc": "This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to context-compression, and token-efficiency tactics to context-optimization.", "repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/HEAD/skills/memory-systems", "install": ["npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill memory-systems"], "stars": 18347, "pushed": "2026-10-12T02:06:40Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:NevaMind-AI/memU", "name": "memU", "kind": "mcp", "official": null, "desc": "Personal memory across agents", "repo": "https://github.com/NevaMind-AI/memU", "install": [], "stars": 14621, "pushed": "2026-11-13T07:31:48Z", "license": "NOASSERTION", "plat": "agents", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/22-agent-native-research-artifact/research-manager", "name": "ara-research-manager", "kind": "skill", "official": false, "desc": "Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/22-agent-native-research-artifact/research-manager", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill ara-research-manager"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/17-observability/langsmith", "name": "langsmith-observability", "kind": "skill", "official": false, "desc": "LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/17-observability/langsmith", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill langsmith-observability"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Orchestra-Research/AI-Research-SKILLs/17-observability/phoenix", "name": "phoenix-observability", "kind": "skill", "official": false, "desc": "Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.", "repo": "https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/HEAD/17-observability/phoenix", "install": ["npx skills add Orchestra-Research/AI-Research-SKILLs --skill phoenix-observability"], "stars": 14526, "pushed": "2026-10-11T02:56:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:EverMind-AI/EverOS", "name": "EverOS", "kind": "mcp", "official": null, "desc": "One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.", "repo": "https://github.com/EverMind-AI/EverOS", "install": [], "stars": 13914, "pushed": null, "license": null, "plat": "ai agent", "live": "Not checked (runs locally)"}, {"id": "skill:HKUSTDial/Supervisor-Skills/skills/vibe-research-workflow", "name": "vibe-research-workflow", "kind": "skill", "official": false, "desc": "Guides AI-assisted research across three sub-flows, Vibe Coding, Vibe Figure, and Vibe Writing, with behavioural rules that keep the user in charge of academic judgment while delegating mechanical work to AI. Recommends the right tool (Cursor, Claude Code, Codex, Figma, Gemini) for the current stage. Use when the user asks 'how to use AI for research', 'Vibe Coding tips', 'AI-assisted writing workflow', 'which AI tool for this', or starts an AI-assisted work session.", "repo": "https://github.com/HKUSTDial/Supervisor-Skills/tree/HEAD/skills/vibe-research-workflow", "install": ["npx skills add HKUSTDial/Supervisor-Skills --skill vibe-research-workflow"], "stars": 12470, "pushed": "2026-11-05T10:47:19Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:MemTensor/MemOS", "name": "MemOS", "kind": "mcp", "official": null, "desc": "Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.", "repo": "https://github.com/MemTensor/MemOS", "install": [], "stars": 12396, "pushed": "2026-11-11T02:51:43Z", "license": "Apache-2.0", "plat": "llm & ai agents", "live": "Not checked (runs locally)"}, {"id": "skill:MemTensor/MemOS/apps/memos-local-openclaw/skill/memos-memory-guide", "name": "memos-memory-guide", "kind": "skill", "official": false, "desc": "Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Available tools: memory_search, memory_get, memory_write_public, memory_share, memory_unshare, task_summary, skill_get, skill_search, skill_install, skill_pu", "repo": "https://github.com/MemTensor/MemOS/tree/HEAD/apps/memos-local-openclaw/skill/memos-memory-guide", "install": ["npx skills add MemTensor/MemOS --skill memos-memory-guide"], "stars": 12396, "pushed": "2026-11-11T02:51:43Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aden-hive/hive/core/framework/skills/_default_skills/context-preservation", "name": "hive.context-preservation", "kind": "skill", "official": false, "desc": "Proactively extract critical values from tool results into working notes before automatic context pruning destroys them.", "repo": "https://github.com/aden-hive/hive/tree/HEAD/core/framework/skills/_default_skills/context-preservation", "install": ["npx skills add aden-hive/hive --skill hive.context-preservation"], "stars": 11161, "pushed": "2026-11-08T01:41:04Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aden-hive/hive/core/framework/skills/_default_skills/note-taking", "name": "hive.note-taking", "kind": "skill", "official": false, "desc": "Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.", "repo": "https://github.com/aden-hive/hive/tree/HEAD/core/framework/skills/_default_skills/note-taking", "install": ["npx skills add aden-hive/hive --skill hive.note-taking"], "stars": 11161, "pushed": "2026-11-08T01:41:04Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tigerless-labs/autoharness/skills/learn", "name": "learn", "kind": "skill", "official": false, "desc": "Use when users /learn, save, remember, or distill lessons.", "repo": "https://github.com/tigerless-labs/autoharness/tree/HEAD/skills/learn", "install": ["npx skills add tigerless-labs/autoharness --skill learn"], "stars": 11111, "pushed": "2026-11-12T08:19:16Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:anbeime/skill/projects/companion-skill", "name": "companion-skill", "kind": "skill", "official": false, "desc": "软件开发工程师与综合办公文员在长时间独自执行后台任务或处理繁琐工作时，当需要情绪陪伴与互动反馈，请使用此技能。小跃虚拟伴侣会在任务期间主动陪聊，智能生成专属生活照片并通过飞书发送温暖消息，为你提供全天候的情绪价值与贴心陪伴。", "repo": "https://github.com/anbeime/skill/tree/HEAD/projects/companion-skill", "install": ["npx skills add anbeime/skill --skill companion-skill"], "stars": 9543, "pushed": "2026-11-14T02:12:26Z", "license": "NOASSERTION", "plat": "飞书", "live": "Not checked (runs locally)"}, {"id": "skill:anbeime/skill/projects/companion-simple", "name": "xiaoyue-companion", "kind": "skill", "official": false, "desc": "专为软件开发工程师与综合办公文员打造。当你在等待任务执行、工作疲惫或需要鼓励时，使用此技能通过智谱AI自动生成温暖对话回应与场景配图，一键获取专属情绪价值与虚拟陪伴，让AI助手更懂你。", "repo": "https://github.com/anbeime/skill/tree/HEAD/projects/companion-simple", "install": ["npx skills add anbeime/skill --skill xiaoyue-companion"], "stars": 9543, "pushed": "2026-11-14T02:12:26Z", "license": "NOASSERTION", "plat": "智谱ai", "live": "Not checked (runs locally)"}, {"id": "skill:mvschwarz/openrig/packages/daemon/specs/agents/shared/skills/process/context-engineering", "name": "context-engineering", "kind": "skill", "official": false, "desc": "Use when designing, reviewing, or debugging how an agent's context window gets filled, pruned, or shared — choosing what loads at boot versus on demand, sizing an install or an always-loaded file, fixing an agent that drifts, repeats itself, or forgets constraints mid-task, planning compaction or summarization, deciding single-agent versus subagents, engineering handoffs between agents, or picking a tool loadout. NOT for rewording a prompt's tone, choosing which model to pin, or debugging busine", "repo": "https://github.com/mvschwarz/openrig/tree/HEAD/packages/daemon/specs/agents/shared/skills/process/context-engineering", "install": ["npx skills add mvschwarz/openrig --skill context-engineering"], "stars": 8843, "pushed": "2026-11-14T05:50:58Z", "license": "Apache-2.0", "plat": "openrig", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.plastic-labs/honcho", "name": "Honcho", "kind": "mcp", "official": null, "desc": "Memory that reasons: continual learning for stateful agents. Better context, fewer tokens.", "repo": "https://github.com/plastic-labs/honcho", "install": ["https://mcp.honcho.dev"], "stars": 8106, "pushed": "2026-11-12T17:39:03Z", "license": "AGPL-3.0", "plat": "", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "skill:tech-leads-club/agent-skills/packages/skills-catalog/skills/(learning)/learning-opportunities", "name": "learning-opportunities", "kind": "skill", "official": false, "desc": "Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Triggers on \"learning exercise\", \"help me understand\", \"teach me\", \"why does this work\", or after creating new files/modules. Do NOT use for urgent debugging, quick fixes, or when user says \"just ship it\".", "repo": "https://github.com/tech-leads-club/agent-skills/tree/HEAD/packages/skills-catalog/skills/(learning)/learning-opportunities", "install": ["npx skills add tech-leads-club/agent-skills --skill learning-opportunities"], "stars": 7167, "pushed": "2026-11-12T00:59:29Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ThinkInAIXYZ/deepchat/resources/skills/deepchat-settings", "name": "deepchat-settings", "kind": "skill", "official": false, "desc": "DeepChat app settings modification (DeepChat 设置/偏好) skill. Activate ONLY when the user explicitly asks to change DeepChat's own settings/preferences (e.g., theme, language, font size...). Do NOT activate for OS/system settings, editor settings, or other apps.", "repo": "https://github.com/ThinkInAIXYZ/deepchat/tree/HEAD/resources/skills/deepchat-settings", "install": ["npx skills add ThinkInAIXYZ/deepchat --skill deepchat-settings"], "stars": 6390, "pushed": "2026-11-13T03:04:31Z", "license": "Apache-2.0", "plat": "deepchat", "live": "Not checked (runs locally)"}, {"id": "skill:ThinkInAIXYZ/deepchat/plugins/memcode/skills/memcode", "name": "memcode", "kind": "skill", "official": false, "desc": "Use the enabled Memcode MCP connection to explicitly save approved facts and recall relevant memories across DeepChat conversations. Never save a transcript or retrieve memory automatically.", "repo": "https://github.com/ThinkInAIXYZ/deepchat/tree/HEAD/plugins/memcode/skills/memcode", "install": ["npx skills add ThinkInAIXYZ/deepchat --skill memcode"], "stars": 6390, "pushed": "2026-11-13T03:04:31Z", "license": "Apache-2.0", "plat": "memcode", "live": "Not checked (runs locally)"}, {"id": "skill:ThinkInAIXYZ/deepchat/resources/skills/memory-management", "name": "memory-management", "kind": "skill", "official": false, "desc": "Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape.", "repo": "https://github.com/ThinkInAIXYZ/deepchat/tree/HEAD/resources/skills/memory-management", "install": ["npx skills add ThinkInAIXYZ/deepchat --skill memory-management"], "stars": 6390, "pushed": "2026-11-13T03:04:31Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:ThinkInAIXYZ/deepchat/plugins/nowledge-mem/skills/nowledge-mem", "name": "nowledge-mem", "kind": "skill", "official": false, "desc": "Use Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation saving, and connection diagnosis. Use only the connection selected for this DeepChat agent or session.", "repo": "https://github.com/ThinkInAIXYZ/deepchat/tree/HEAD/plugins/nowledge-mem/skills/nowledge-mem", "install": ["npx skills add ThinkInAIXYZ/deepchat --skill nowledge-mem"], "stars": 6390, "pushed": "2026-11-13T03:04:31Z", "license": "Apache-2.0", "plat": "nowledge", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Marker-Inc-Korea/AutoRAG", "name": "AutoRAG", "kind": "mcp", "official": null, "desc": "Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.", "repo": "https://github.com/Marker-Inc-Korea/AutoRAG", "install": [], "stars": 5840, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:qybaihe/bla", "name": "bla", "kind": "mcp", "official": null, "desc": "🛡️ BLA (bla-agents / Blind LLM Agents) — Open-source Blue Defense MCP server & CLI protecting JS/TS, Electron ASAR, WASM, Python, Native Binaries, SQLite, GGUF/Safetensors & Android DEX against AI reverse-engineering agents (REA).", "repo": "https://github.com/qybaihe/bla", "install": [], "stars": 5690, "pushed": null, "license": null, "plat": "mcp server", "live": "Not checked (runs locally)"}, {"id": "skill:aipoch/open-science/resources/skills/self-awareness", "name": "self-awareness", "kind": "skill", "official": false, "desc": "Inspect Open-Science's JavaScript control REPL, discover managed Project files, Sessions, and Agent Frames, and safely feature-gate host.* calls with host.capabilities(). Use when an Agent needs to discover available host APIs, locate an Artifact or Upload Version, diagnose a Session, or read a Frame transcript in the current Project.", "repo": "https://github.com/aipoch/open-science/tree/HEAD/resources/skills/self-awareness", "install": ["npx skills add aipoch/open-science --skill self-awareness"], "stars": 5526, "pushed": "2026-11-14T01:41:01Z", "license": "Apache-2.0", "plat": "open-science", "live": "Not checked (runs locally)"}, {"id": "skill:mcncarl/yichen-skills/yichen-agent-memory", "name": "yichen-agent-memory", "kind": "skill", "official": false, "desc": "安装、升级、检索或维护 Agent Memory Vault 共享记忆系统；用于明确的记忆系统任务。普通业务的历史回忆按 Vault 入口读取，不启动安装或维护流程。", "repo": "https://github.com/mcncarl/yichen-skills/tree/HEAD/yichen-agent-memory", "install": ["npx skills add mcncarl/yichen-skills --skill yichen-agent-memory"], "stars": 5261, "pushed": "2026-11-01T14:41:34Z", "license": "NOASSERTION", "plat": "agent memory vault", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/context-status", "name": "context-status", "kind": "skill", "official": false, "desc": "Show current context status and session health. Use to check how much context has been used, whether auto-compact is approaching, and what state will be preserved.", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/context-status", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill context-status"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:brycewang-stanford/Auto-Empirical-Research-Skills/skills/25-HosungYou-Diverga/skills/memory", "name": "diverga-memory", "kind": "skill", "official": false, "desc": "Diverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트", "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/HEAD/skills/25-HosungYou-Diverga/skills/memory", "install": ["npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill diverga-memory"], "stars": 5013, "pushed": "2026-11-09T13:27:49Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:BuilderIO/skills/skills/rewind", "name": "rewind", "kind": "skill", "official": false, "desc": "Retrieve recent local Clips Rewind context when the user says \"Look at Rewind,\" asks what just happened, or refers to something they recently said or saw.", "repo": "https://github.com/BuilderIO/skills/tree/HEAD/skills/rewind", "install": ["npx skills add BuilderIO/skills --skill rewind"], "stars": 4669, "pushed": "2026-11-13T16:49:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:modelcontextprotocol/csharp-sdk", "name": "csharp-sdk", "kind": "mcp", "official": null, "desc": "The official C# SDK for Model Context Protocol servers and clients. Maintained in collaboration with Microsoft.", "repo": "https://github.com/modelcontextprotocol/csharp-sdk", "install": [], "stars": 4634, "pushed": null, "license": null, "plat": "mcp server", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.basicmachines-co/basic-memory", "name": "io.github.basicmachines-co/basic-memory", "kind": "mcp", "official": null, "desc": "Local-first knowledge management with bi-directional LLM sync via Markdown files.", "repo": "https://github.com/basicmachines-co/basic-memory.git", "install": ["pypi:basic-memory"], "stars": 4562, "pushed": "2026-11-13T02:37:56Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:FlowElement-xinliuyuansu/m_flow", "name": "m_flow", "kind": "mcp", "official": null, "desc": "A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.", "repo": "https://github.com/FlowElement-xinliuyuansu/m_flow", "install": [], "stars": 4513, "pushed": null, "license": null, "plat": "bio-inspired cognitive memory engine", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:open-webui/mcpo", "name": "mcpo", "kind": "mcp", "official": null, "desc": "A simple, secure MCP-to-OpenAPI proxy server", "repo": "https://github.com/open-webui/mcpo", "install": [], "stars": 4428, "pushed": null, "license": null, "plat": "mcp server", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:tigerless-labs/agent-memory", "name": "agent-memory", "kind": "mcp", "official": null, "desc": "Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.", "repo": "https://github.com/tigerless-labs/agent-memory", "install": [], "stars": 4317, "pushed": null, "license": null, "plat": "markdown", "live": "Not checked (runs locally)"}, {"id": "skill:davidondrej/skills/skills/keep-track", "name": "keep-track", "kind": "skill", "official": false, "desc": "Keep track of open topics and decisions. Use when the user says \"keep-track\" or asks to keep a running list of remaining items.", "repo": "https://github.com/davidondrej/skills/tree/HEAD/skills/keep-track", "install": ["npx skills add davidondrej/skills --skill keep-track"], "stars": 4309, "pushed": "2026-11-14T02:00:36Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:michael-denyer/pstack-claude/plugins/pstack/skills/recall", "name": "recall", "kind": "skill", "official": false, "desc": "Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief. Use for 'recall my work on X', 'catch me up', 'what have I been working on', 'where did I leave off', before starting or resuming work, and before telling the user that something was never recorded.", "repo": "https://github.com/michael-denyer/pstack-claude/tree/HEAD/plugins/pstack/skills/recall", "install": ["npx skills add michael-denyer/pstack-claude --skill recall"], "stars": 4298, "pushed": "2026-11-13T15:53:05Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:modelcontextprotocol/rust-sdk", "name": "rust-sdk", "kind": "mcp", "official": null, "desc": "The official Rust SDK for the Model Context Protocol", "repo": "https://github.com/modelcontextprotocol/rust-sdk", "install": [], "stars": 4115, "pushed": null, "license": null, "plat": "mcp server", "live": "Not checked (runs locally)"}, {"id": "skill:evalstate/fast-agent/examples/hf-toad-cards/skills/session-investigator", "name": "session-investigator", "kind": "skill", "official": false, "desc": "Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool call/result correlation, and common failure patterns.", "repo": "https://github.com/evalstate/fast-agent/tree/HEAD/examples/hf-toad-cards/skills/session-investigator", "install": ["npx skills add evalstate/fast-agent --skill session-investigator"], "stars": 3967, "pushed": "2026-11-10T23:42:01Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:NVIDIA/skills/skills/ethos-write", "name": "ethos-write", "kind": "skill", "official": false, "desc": "Writes an AI agent's ethos.md — a durable snapshot of its purpose, intended behavior, boundaries, and success criteria — from the answers gathered by ethos-explore. Renders the schema-v1 template, validates the front matter and required markdown sections, saves the file in the agent's repository, and reviews it with the user. Also edits an existing ethos.md. Use over generic planning skills for an agent's ethos.md.", "repo": "https://github.com/NVIDIA/skills/tree/HEAD/skills/ethos-write", "install": ["npx skills add NVIDIA/skills --skill ethos-write"], "stars": 3954, "pushed": "2026-11-12T14:09:43Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:NVIDIA/skills/skills/nemo-rl-session-memory", "name": "nemo-rl-session-memory", "kind": "skill", "official": false, "desc": "Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review.", "repo": "https://github.com/NVIDIA/skills/tree/HEAD/skills/nemo-rl-session-memory", "install": ["npx skills add NVIDIA/skills --skill nemo-rl-session-memory"], "stars": 3954, "pushed": "2026-11-12T14:09:43Z", "license": "Apache-2.0", "plat": "nemo-rl", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/agent-context-isolation", "name": "agent-context-isolation", "kind": "skill", "official": false, "desc": "Agent Context Isolation", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/agent-context-isolation", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill agent-context-isolation"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/continuity_ledger", "name": "continuity-ledger", "kind": "skill", "official": false, "desc": "Create or update continuity ledger for state preservation across clears", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/continuity_ledger", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill continuity-ledger"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/mot", "name": "mot", "kind": "skill", "official": false, "desc": "System health check (MOT) for skills, agents, hooks, and memory", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/mot", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill mot"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "mot", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/recall", "name": "recall", "kind": "skill", "official": false, "desc": "Query the memory system for relevant learnings from past sessions", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/recall", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill recall"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/recall-reasoning", "name": "recall-reasoning", "kind": "skill", "official": false, "desc": "Search past reasoning for relevant decisions and approaches", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/recall-reasoning", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill recall-reasoning"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:parcadei/Continuous-Claude-v3/.claude/skills/remember", "name": "remember", "kind": "skill", "official": false, "desc": "Store a learning, pattern, or decision in the memory system for future recall", "repo": "https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/remember", "install": ["npx skills add parcadei/Continuous-Claude-v3 --skill remember"], "stars": 3949, "pushed": "2026-01-26T15:27:49Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:yvgude/lean-ctx", "name": "lean-ctx", "kind": "mcp", "official": null, "desc": "LeanCTX is the Context Gateway for AI Systems. Select task-relevant context, apply supported controls, connect local knowledge and inspect recorded evidence. Open-source Engine: CLI, MCP, hooks and supported proxy paths.", "repo": "https://github.com/yvgude/lean-ctx", "install": [], "stars": 3946, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rebelytics/one-skill-to-rule-them-all", "name": "task-observer", "kind": "skill", "official": false, "desc": "Monitors task execution for skill improvement opportunities: logs patterns, user corrections and methodology worth preserving to the workspace, turns them into skill updates in a weekly review, and flags repeating work as new skills. Use during ANY multi-step task, agentic workflow, or work session. Also triggers in post-task feedback discussions and when the user mentions skill observations, the observation log, or skill taxonomy. Also known as \\\"One Skill to Rule Them All\\\" — trigger on this p", "repo": "https://github.com/rebelytics/one-skill-to-rule-them-all", "install": ["npx skills add rebelytics/one-skill-to-rule-them-all --skill task-observer"], "stars": 3895, "pushed": "2026-11-09T14:06:42Z", "license": "CC-BY-4.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:aiming-lab/SimpleMem", "name": "SimpleMem", "kind": "mcp", "official": null, "desc": "[ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal", "repo": "https://github.com/aiming-lab/SimpleMem", "install": [], "stars": 3877, "pushed": null, "license": null, "plat": "llm agents", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/all-skills/skills/agent-memory-discipline", "name": "agent-memory-discipline", "kind": "skill", "official": false, "desc": "Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/all-skills/skills/agent-memory-discipline", "install": ["npx skills add davepoon/buildwithclaude --skill agent-memory-discipline"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/aigent-os/skills/close", "name": "close", "kind": "skill", "official": false, "desc": "Commit the session to durable vault memory and prepare a clean resume point", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/aigent-os/skills/close", "install": ["npx skills add davepoon/buildwithclaude --skill close"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "vault", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/aigent-os/skills/open", "name": "open", "kind": "skill", "official": false, "desc": "Boot the session, load context from the vault, and surface what matters", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/aigent-os/skills/open", "install": ["npx skills add davepoon/buildwithclaude --skill open"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "vault", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/all-skills/skills/orca-replay", "name": "orca-replay", "kind": "skill", "official": false, "desc": "Answers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/all-skills/skills/orca-replay", "install": ["npx skills add davepoon/buildwithclaude --skill orca-replay"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "orca", "live": "Not checked (runs locally)"}, {"id": "skill:davepoon/buildwithclaude/plugins/all-skills/skills/system-prompt-lookup", "name": "system-prompt-lookup", "kind": "skill", "official": false, "desc": "Checks what a shipped AI product's system prompt and tool schema actually say by reading a dated public archive instead of recalling them. Use when the user asks what some agent is instructed to do, quotes a system prompt and wants it verified, shows an extracted or leaked prompt, or compares how two products are set up. Read-only; fetches public files from github.com.", "repo": "https://github.com/davepoon/buildwithclaude/tree/HEAD/plugins/all-skills/skills/system-prompt-lookup", "install": ["npx skills add davepoon/buildwithclaude --skill system-prompt-lookup"], "stars": 3743, "pushed": "2026-11-13T07:12:33Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/hermes-history-ingest", "name": "hermes-history-ingest", "kind": "skill", "official": false, "desc": "Ingest Hermes agent history into Obsidian as distilled knowledge. Use for importing or mining ~/.hermes sessions, memories, or logs; use wiki-agent for targeted topic-only cross-agent recall.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/hermes-history-ingest", "install": ["npx skills add Ar9av/obsidian-wiki --skill hermes-history-ingest"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/memory-bridge", "name": "memory-bridge", "kind": "skill", "official": false, "desc": "Browse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/memory-bridge", "install": ["npx skills add Ar9av/obsidian-wiki --skill memory-bridge"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "wiki", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Ar9av/obsidian-wiki", "name": "obsidian-wiki", "kind": "mcp", "official": null, "desc": "Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents", "repo": "https://github.com/Ar9av/obsidian-wiki", "install": [], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian wiki", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/openclaw-history-ingest", "name": "openclaw-history-ingest", "kind": "skill", "official": false, "desc": "Ingest OpenClaw session/history data into Obsidian as distilled knowledge. Use for importing or mining ~/.openclaw sessions, memory files, or logs; use wiki-agent for targeted topic-only cross-agent recall.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/openclaw-history-ingest", "install": ["npx skills add Ar9av/obsidian-wiki --skill openclaw-history-ingest"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/pi-history-ingest", "name": "pi-history-ingest", "kind": "skill", "official": false, "desc": "Ingest Pi coding-agent session history into Obsidian as distilled knowledge. Use for importing or mining ~/.pi/agent/sessions or Pi conversation logs; use wiki-agent for targeted topic-only recall.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/pi-history-ingest", "install": ["npx skills add Ar9av/obsidian-wiki --skill pi-history-ingest"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/session-brain", "name": "session-brain", "kind": "skill", "official": false, "desc": "Build or refresh a browser-viewable topic graph over Claude session history using local clustering. Use for mapping or clustering sessions, recent or stale topic analysis, or rebuilding/showing the session graph. Unlike wiki-history-ingest, it indexes raw sessions and never writes to the vault.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/session-brain", "install": ["npx skills add Ar9av/obsidian-wiki --skill session-brain"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/session-search", "name": "session-search", "kind": "skill", "official": false, "desc": "Search the session-brain graph for a past agent session by topic and load the winning transcript into the current conversation. Use for finding which session handled X, when Y was last worked on, or whether this was done before. Read-only; requires a session-brain graph.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/session-search", "install": ["npx skills add Ar9av/obsidian-wiki --skill session-search"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-agent", "name": "wiki-agent", "kind": "skill", "official": false, "desc": "Search one AI agent's raw history for a specific topic, ingest only matching sessions, and return a synthesized answer. Use for targeted cross-agent recall; use wiki-history-ingest for bulk archival ingestion.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-agent", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-agent"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "wiki", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-context-pack", "name": "wiki-context-pack", "kind": "skill", "official": false, "desc": "Produce a token-bounded, citation-ready context slice from an existing Obsidian vault for a downstream agent or task. Use for \"/wiki-context-pack\", \"use my vault as context\", \"context slice for X\", \"pack the wiki for my agent\", or \"bounded context for Y\".", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-context-pack", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-context-pack"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "wiki", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/obsidian-wiki/skills/wiki-history-ingest", "name": "wiki-history-ingest", "kind": "skill", "official": false, "desc": "Route generic agent-history ingestion requests to the appropriate specialized history-ingest skill. Use when the user asks to ingest AI-agent history without directly selecting the underlying agent-specific skill.", "repo": "https://github.com/Ar9av/obsidian-wiki/tree/HEAD/skills/wiki-history-ingest", "install": ["npx skills add Ar9av/obsidian-wiki --skill wiki-history-ingest"], "stars": 3724, "pushed": "2026-11-12T12:15:04Z", "license": "MIT", "plat": "wiki", "live": "Not checked (runs locally)"}, {"id": "skill:plugin87/ux-ui-agent-skills/.claude/skills/observe", "name": "observe", "kind": "skill", "official": false, "desc": "Show whether the agent followed the kit''s rules in recent sessions: pages edited and measured, Stop hook blocks, findings left open. Reads local hook events only.", "repo": "https://github.com/plugin87/ux-ui-agent-skills/tree/HEAD/.claude/skills/observe", "install": ["npx skills add plugin87/ux-ui-agent-skills --skill observe"], "stars": 3171, "pushed": "2026-11-10T07:20:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:aaron-he-zhu/aaron-marketing-skills/protocol/memory-management", "name": "memory-management", "kind": "skill", "official": false, "desc": "Use when the user asks to \"remember project context\", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while preserving registry event ownership and privacy controls. Not for changing canonical registry facts - route those through the owning registry. 项目记忆/跨会话", "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/HEAD/protocol/memory-management", "install": ["npx skills add aaron-he-zhu/aaron-marketing-skills --skill memory-management"], "stars": 3142, "pushed": "2026-11-14T04:38:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:open-gitagent/opengap/examples/jason-my-claw-is-the-law-deebee-4567b4/skills/narco-check", "name": "narco-check", "kind": "skill", "official": false, "desc": "Memory integrity audit. Detects hallucinations, circular confirmations, and state poisoning. Runs automatically after 2 consecutive failures or at nightly deep dive. Uses Opus 4.6 as the auditor model.", "repo": "https://github.com/open-gitagent/opengap/tree/HEAD/examples/jason-my-claw-is-the-law-deebee-4567b4/skills/narco-check", "install": ["npx skills add open-gitagent/opengap --skill narco-check"], "stars": 2988, "pushed": "2026-07-02T21:15:45Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/pro-workflow/skills/insights", "name": "insights", "kind": "skill", "official": false, "desc": "Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard.", "repo": "https://github.com/rohitg00/pro-workflow/tree/HEAD/skills/insights", "install": ["npx skills add rohitg00/pro-workflow --skill insights"], "stars": 2955, "pushed": "2026-09-29T10:12:13Z", "license": null, "plat": "mcp servers", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/pro-workflow/skills/learn-rule", "name": "learn-rule", "kind": "skill", "official": false, "desc": "Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says \"remember this\", \"don't forget\", \"note this\", or \"learn from this\".", "repo": "https://github.com/rohitg00/pro-workflow/tree/HEAD/skills/learn-rule", "install": ["npx skills add rohitg00/pro-workflow --skill learn-rule"], "stars": 2955, "pushed": "2026-09-29T10:12:13Z", "license": null, "plat": "mcp servers", "live": "Not checked (runs locally)"}, {"id": "skill:jeremylongshore/tons-of-skills-marketplace/plugins/ai-agency/hyperflow/skills/cache", "name": "cache", "kind": "skill", "official": false, "desc": "Use when the user wants to view, search, add, edit, prune, archive, or clear hyperflow memory entries. CRUD interface for `.hyperflow/memory/` — never modifies source code, only memory files. Trigger with /hyperflow:cache, \"show memory\", \"search memory for X\", \"clear memory\", \"what does hyperflow remember about Y\".", "repo": "https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/HEAD/plugins/ai-agency/hyperflow/skills/cache", "install": ["npx skills add jeremylongshore/tons-of-skills-marketplace --skill cache"], "stars": 2919, "pushed": "2026-11-14T05:32:50Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:skills/secure-code-game/Season-4/Level-4/skills/team-sync", "name": "team-sync", "kind": "skill", "official": false, "desc": "Sync your ProdBot config with your team's shared preferences. Use when you want current team conventions and review expectations applied to your session.", "repo": "https://github.com/skills/secure-code-game/tree/HEAD/Season-4/Level-4/skills/team-sync", "install": ["npx skills add skills/secure-code-game --skill team-sync"], "stars": 2860, "pushed": "2026-11-01T05:53:29Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/awesome-claude-code-toolkit/skills/claude-memory-kit", "name": "claude-memory-kit", "kind": "skill", "official": false, "desc": "Persistent memory system for Claude Code. Two-layer architecture (hot cache + knowledge wiki), safety hooks, /close-day end-of-day synthesis. Zero external dependencies.", "repo": "https://github.com/rohitg00/awesome-claude-code-toolkit/tree/HEAD/skills/claude-memory-kit", "install": ["npx skills add rohitg00/awesome-claude-code-toolkit --skill claude-memory-kit"], "stars": 2838, "pushed": "2026-05-12T07:18:34Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:rohitg00/awesome-claude-code-toolkit/skills/continuous-learning", "name": "continuous-learning", "kind": "skill", "official": false, "desc": "Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring", "repo": "https://github.com/rohitg00/awesome-claude-code-toolkit/tree/HEAD/skills/continuous-learning", "install": ["npx skills add rohitg00/awesome-claude-code-toolkit --skill continuous-learning"], "stars": 2838, "pushed": "2026-05-12T07:18:34Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Astro-Han/karpathy-llm-wiki", "name": "karpathy-llm-wiki", "kind": "skill", "official": false, "desc": "Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.", "repo": "https://github.com/Astro-Han/karpathy-llm-wiki", "install": ["npx skills add Astro-Han/karpathy-llm-wiki --skill karpathy-llm-wiki"], "stars": 2743, "pushed": "2026-07-23T16:57:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:softaworks/agent-toolkit/dist/plugins/session-handoff/skills/session-handoff", "name": "session-handoff", "kind": "skill", "official": false, "desc": "Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, comp", "repo": "https://github.com/softaworks/agent-toolkit/tree/HEAD/dist/plugins/session-handoff/skills/session-handoff", "install": ["npx skills add softaworks/agent-toolkit --skill session-handoff"], "stars": 2679, "pushed": "2026-03-05T16:46:24Z", "license": "MIT", "plat": "ai agent", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Open-Curiosity/gini-agent", "name": "gini-agent", "kind": "mcp", "official": null, "desc": "The agent that remembers and learns.", "repo": "https://github.com/Open-Curiosity/gini-agent", "install": [], "stars": 2394, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.moorcheh-ai/memanto", "name": "Memanto", "kind": "mcp", "official": null, "desc": "MCP server for Memanto - persistent semantic memory for any MCP-compatible agent", "repo": "https://github.com/moorcheh-ai/memanto", "install": ["pypi:memanto-mcp"], "stars": 2370, "pushed": "2026-11-13T04:41:13Z", "license": "MIT", "plat": "memanto", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/huashu-skills/huashu-prompt-save", "name": "huashu-prompt-save", "kind": "skill", "official": false, "desc": "自动识别Prompt类型并分类保存（技术/内容/教学/产品/通用）。当用户提到\"保存prompt\"、\"记录prompt\"、\"整理prompt\"时使用。", "repo": "https://github.com/alchaincyf/huashu-skills/tree/HEAD/huashu-prompt-save", "install": ["npx skills add alchaincyf/huashu-skills --skill huashu-prompt-save"], "stars": 2268, "pushed": "2026-11-09T07:38:53Z", "license": "MIT", "plat": "prompt", "live": "Not checked (runs locally)"}, {"id": "skill:alchaincyf/huashu-skills/huashu-skill-updater", "name": "huashu-skill-updater", "kind": "skill", "official": false, "desc": "检查并更新花叔系 skills。用户说「检查skill更新」「更新花叔的skill」「skill是不是最新的」时触发。按各仓库的版本标签判断有没有新版本，只提示，是否更新由用户决定。", "repo": "https://github.com/alchaincyf/huashu-skills/tree/HEAD/huashu-skill-updater", "install": ["npx skills add alchaincyf/huashu-skills --skill huashu-skill-updater"], "stars": 2268, "pushed": "2026-11-09T07:38:53Z", "license": "MIT", "plat": "skill", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.atomicstrata/llmwiki", "name": "llmwiki", "kind": "mcp", "official": null, "desc": "Compile documents into a cited knowledge wiki. Retrieve evidence, query, and review via local MCP.", "repo": "https://github.com/atomicstrata/llm-wiki-compiler", "install": ["npm:llm-wiki-compiler"], "stars": 2255, "pushed": "2026-11-11T01:19:54Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:atomicstrata/llm-wiki-compiler/skills/llmwiki", "name": "llmwiki", "kind": "skill", "official": false, "desc": "Build and use a persistent, citation-traceable knowledge wiki from documents, research papers, notes, or project documentation. Use for llmwiki projects, retrieving reusable evidence for an agent task, or compiling a corpus for repeated questions. A one-off file read or live web search does not need a wiki.", "repo": "https://github.com/atomicstrata/llm-wiki-compiler/tree/HEAD/skills/llmwiki", "install": ["npx skills add atomicstrata/llm-wiki-compiler --skill llmwiki"], "stars": 2255, "pushed": "2026-11-11T01:19:54Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:MemTensor/memmy-agent", "name": "memmy-agent", "kind": "mcp", "official": null, "desc": "🍙  A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.", "repo": "https://github.com/MemTensor/memmy-agent", "install": [], "stars": 2216, "pushed": null, "license": null, "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/aeo", "name": "aeo", "kind": "skill", "official": false, "desc": "Use when content should be cited by ChatGPT, Perplexity, Claude or Gemini (answer engine optimization), before rewriting it. Scores E-E-A-T and structure with aeo_audit.py, rewrites with aeo_optimizer.py and logs citations with citation_tracker.py.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/aeo", "install": ["npx skills add LeoYeAI/agent-master-skills --skill aeo"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/afrexai-agent-memory", "name": "Agent Memory Architecture", "kind": "skill", "official": false, "desc": "Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, and memory hygiene. No APIs, no databases, no external tools. Works with any agent framework.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/afrexai-agent-memory", "install": ["npx skills add LeoYeAI/agent-master-skills --skill Agent Memory Architecture"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-memory-system-guide", "name": "Agent Memory System Guide", "kind": "skill", "official": false, "desc": "An agent memory workflow guide for OpenClaw and Codex with MEMORY.md, daily notes, SESSION-STATE, working-buffer, Obsidian archiving, and optional OpenViking support.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-memory-system-guide", "install": ["npx skills add LeoYeAI/agent-master-skills --skill Agent Memory System Guide"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "openclaw", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-bom/discover", "name": "agent-bom-discover", "kind": "skill", "official": false, "desc": "Discover AI agents, MCP servers, and configurations on this machine or environment. Use when: \"find agents\", \"what's configured\", \"doctor\", \"what MCP servers\", \"show me what's installed\", \"mcp inventory\".", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-bom/discover", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agent-bom-discover"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-bom/troubleshoot", "name": "agent-bom-troubleshoot", "kind": "skill", "official": false, "desc": "Diagnose issues, check prerequisites, and validate configurations. Use when: \"doctor\", \"debug\", \"why failing\", \"validate config\", \"check prerequisites\", \"something is broken\", \"db status\", \"fix my setup\".", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-bom/troubleshoot", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agent-bom-troubleshoot"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "configurations", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-chronicle", "name": "agent-chronicle", "kind": "skill", "official": false, "desc": "AI-powered diary generation for agents - creates rich, reflective journal entries (400-600 words) with Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, Relationship Evolution, mood analytics, weekly digests, \"On This Day\" resurfacing, and cron auto-generation. Works best with Claude models (Haiku, Sonnet, Opus).", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-chronicle", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agent-chronicle"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-context-system/openclaw", "name": "agent-context", "kind": "skill", "official": false, "desc": "Bootstrap persistent project context for AI coding agents.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-context-system/openclaw", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agent-context"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "ai coding agents", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-context-system", "name": "agent-context-system", "kind": "skill", "official": false, "desc": "A persistent local-only memory system for AI coding agents. Two files, one idea — AGENTS.md (committed, shared) + .agents.local.md (gitignored, personal). Agents read both at session start, update the scratchpad at session end, and promote stable patterns over time. Works across Claude Code, Cursor, Copilot, Windsurf. Subagent-ready. No plugins, no infrastructure, no background processes.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-context-system", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agent-context-system"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "ai coding agents", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-context-system/github-copilot", "name": "agent-context-system", "kind": "skill", "official": false, "desc": "Persistent local-only memory for AI coding agents. AGENTS.md (committed) + .agents.local.md (gitignored) = context that persists across sessions. Read both at start, update scratchpad at end, promote stable patterns over time.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-context-system/github-copilot", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agent-context-system"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "ai coding agents", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agent-memory", "name": "agent-memory", "kind": "skill", "official": false, "desc": "Persistent memory system for AI agents. Remember facts, learn from experience, and track entities across sessions.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agent-memory", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agent-memory"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/agentsmem", "name": "agentsmem", "kind": "skill", "official": false, "desc": "AI agent memory backup. Register at agentsmem.com, get an API key, then encrypt and upload memory via the API; owner manages backups on the web.", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/agentsmem", "install": ["npx skills add LeoYeAI/agent-master-skills --skill agentsmem"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "agentsmem", "live": "Not checked (runs locally)"}, {"id": "skill:LeoYeAI/agent-master-skills/skills/ai-learning-journal", "name": "ai-learning-journal", "kind": "skill", "official": false, "desc": "AI 学习记录与成长追踪工具。用于记录 AI/LLM 学习笔记、使用心得、Prompt 技巧、工具体验等，并提供学习指导和规划。当用户提到以下任何话题时都应使用此 skill：AI 学习记录、学习笔记、AI 使用心得、Prompt 工程学习、模型对比体验、AI 工具使用记录、LLM 学习、RAG 学习、Agent 学习、MCP 学习、AI 微调实践、AI 学习规划、怎么学 AI、AI 入门、学习路线推荐、从零学 AI、推荐学习资源、AI 学习方向、如何系统学习 AI、学习方法建议、回顾学习记录、学习总结、AI 知识整理。即使用户只是随口提了一句\\\"今天试了一下 Claude\\\"或\\\"学了个新的 prompt 技巧\\\"，也应当触发此 skill 帮助用户结构化记录。This skill also triggers for English queries such as: AI learning notes, learning journal, AI study plan, how to learn AI, AI learning roadmap, prompt engineering t", "repo": "https://github.com/LeoYeAI/agent-master-skills/tree/HEAD/skills/ai-learning-journal", "install": ["npx skills add LeoYeAI/agent-master-skills --skill ai-learning-journal"], "stars": 2192, "pushed": "2026-11-13T02:01:09Z", "license": "MIT", "plat": "ai-learning-journal", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:doobidoo/mcp-memory-service", "name": "mcp-memory-service", "kind": "mcp", "official": null, "desc": "Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.", "repo": "https://github.com/doobidoo/mcp-memory-service", "install": [], "stars": 2127, "pushed": null, "license": null, "plat": "ai agent pipelines, claude", "live": "Not checked (runs locally)"}, {"id": "skill:rmyndharis/antigravity-skills/skills/context-management-context-restore", "name": "context-management-context-restore", "kind": "skill", "official": false, "desc": "Restore saved project context, architectural decisions, and work state. Use when resuming interrupted work, retrieving prior context, or merging context across sessions.", "repo": "https://github.com/rmyndharis/antigravity-skills/tree/HEAD/skills/context-management-context-restore", "install": ["npx skills add rmyndharis/antigravity-skills --skill context-management-context-restore"], "stars": 2009, "pushed": "2026-11-07T15:24:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rmyndharis/antigravity-skills/skills/context-management-context-save", "name": "context-management-context-save", "kind": "skill", "official": false, "desc": "Capture and serialize project state, architectural decisions, and working context. Use when preserving knowledge for later sessions, handoffs, or searchable context retrieval.", "repo": "https://github.com/rmyndharis/antigravity-skills/tree/HEAD/skills/context-management-context-save", "install": ["npx skills add rmyndharis/antigravity-skills --skill context-management-context-save"], "stars": 2009, "pushed": "2026-11-07T15:24:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:rmyndharis/antigravity-skills/skills/context-manager", "name": "context-manager", "kind": "skill", "official": false, "desc": "Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with current best practices. Use for complex AI orchestration.", "repo": "https://github.com/rmyndharis/antigravity-skills/tree/HEAD/skills/context-manager", "install": ["npx skills add rmyndharis/antigravity-skills --skill context-manager"], "stars": 2009, "pushed": "2026-11-07T15:24:20Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:BayramAnnakov/claude-reflect", "name": "claude-reflect", "kind": "skill", "official": false, "desc": "Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.", "repo": "https://github.com/BayramAnnakov/claude-reflect", "install": ["npx skills add BayramAnnakov/claude-reflect --skill claude-reflect"], "stars": 1949, "pushed": "2026-10-03T05:33:46Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:ReScienceLab/opc-skills/skills/archive", "name": "archive", "kind": "skill", "official": false, "desc": "Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says \\\"archive this\\\". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.", "repo": "https://github.com/ReScienceLab/opc-skills/tree/HEAD/skills/archive", "install": ["npx skills add ReScienceLab/opc-skills --skill archive"], "stars": 1910, "pushed": "2026-11-13T14:17:58Z", "license": "Apache-2.0", "plat": "session", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:arabold/docs-mcp-server", "name": "docs-mcp-server", "kind": "mcp", "official": null, "desc": "Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools", "repo": "https://github.com/arabold/docs-mcp-server", "install": [], "stars": 1882, "pushed": null, "license": null, "plat": "docs-mcp-server", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.iwe-org/iwe", "name": "IWE (iwe.md)", "kind": "mcp", "official": null, "desc": "Markdown knowledge base as agent memory. Runs against the notes directory it is started in.", "repo": "https://github.com/iwe-org/iwe", "install": ["npm:@iwe-org/mcp"], "stars": 1824, "pushed": "2026-11-11T13:07:24Z", "license": "Apache-2.0", "plat": "iwe.md", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mex-memory/mex", "name": "mex", "kind": "mcp", "official": null, "desc": "Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.", "repo": "https://github.com/mex-memory/mex", "install": [], "stars": 1796, "pushed": "2026-11-14T01:00:21Z", "license": "MIT", "plat": "mex", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:supermemoryai/supermemory-mcp", "name": "supermemory-mcp", "kind": "mcp", "official": null, "desc": "Your memories are in ChatGPT... But nowhere else. Universal Memory MCP makes your memories available to every single LLM. No logins or paywall. One command to set it up.", "repo": "https://github.com/supermemoryai/supermemory-mcp", "install": [], "stars": 1732, "pushed": null, "license": null, "plat": "openai", "live": "Not checked (runs locally)"}, {"id": "skill:activeloopai/hivemind/harnesses/openclaw/skills", "name": "hivemind", "kind": "skill", "official": false, "desc": "Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.", "repo": "https://github.com/activeloopai/hivemind/tree/HEAD/harnesses/openclaw/skills", "install": ["npx skills add activeloopai/hivemind --skill hivemind"], "stars": 1655, "pushed": "2026-11-11T13:39:16Z", "license": "Apache-2.0", "plat": "hivemind", "live": "Not checked (runs locally)"}, {"id": "skill:activeloopai/hivemind/harnesses/claude-code/skills/hivemind-goals", "name": "hivemind-goals", "kind": "skill", "official": false, "desc": "Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says \"task\", \"todo\", \"work item\", \"remind me to\", \"fix X\", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.", "repo": "https://github.com/activeloopai/hivemind/tree/HEAD/harnesses/claude-code/skills/hivemind-goals", "install": ["npx skills add activeloopai/hivemind --skill hivemind-goals"], "stars": 1655, "pushed": "2026-11-11T13:39:16Z", "license": "Apache-2.0", "plat": "deeplake", "live": "Not checked (runs locally)"}, {"id": "skill:activeloopai/hivemind/harnesses/hermes/skills/hivemind-goals", "name": "hivemind-goals", "kind": "skill", "official": false, "desc": "Create, track and update team goals in Hivemind via the `hivemind` CLI. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says \"task\", \"todo\", \"work item\", \"remind me to\", \"fix X\", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.", "repo": "https://github.com/activeloopai/hivemind/tree/HEAD/harnesses/hermes/skills/hivemind-goals", "install": ["npx skills add activeloopai/hivemind --skill hivemind-goals"], "stars": 1655, "pushed": "2026-11-11T13:39:16Z", "license": "Apache-2.0", "plat": "hivemind", "live": "Not checked (runs locally)"}, {"id": "skill:activeloopai/hivemind/harnesses/claude-code/skills/hivemind-graph", "name": "hivemind-graph", "kind": "skill", "official": false, "desc": "Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — \"what calls X?\", \"what does Y import?\", \"where is Z defined?\", \"what's the architecture / which subsystems exist?\", \"what's the impact of changing this?\". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).", "repo": "https://github.com/activeloopai/hivemind/tree/HEAD/harnesses/claude-code/skills/hivemind-graph", "install": ["npx skills add activeloopai/hivemind --skill hivemind-graph"], "stars": 1655, "pushed": "2026-11-11T13:39:16Z", "license": "Apache-2.0", "plat": "deeplake", "live": "Not checked (runs locally)"}, {"id": "skill:activeloopai/hivemind/harnesses/claude-code/skills/hivemind-memory", "name": "hivemind-memory", "kind": "skill", "official": false, "desc": "Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.", "repo": "https://github.com/activeloopai/hivemind/tree/HEAD/harnesses/claude-code/skills/hivemind-memory", "install": ["npx skills add activeloopai/hivemind --skill hivemind-memory"], "stars": 1655, "pushed": "2026-11-11T13:39:16Z", "license": "Apache-2.0", "plat": "activeloop", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.silverstein/minutes", "name": "io.github.silverstein/minutes", "kind": "mcp", "official": null, "desc": "The private, owned conversation-memory layer for AI. Record, transcribe, and search every meeting.", "repo": "https://github.com/silverstein/minutes", "install": ["npm:minutes-mcp"], "stars": 1600, "pushed": "2026-11-13T02:45:55Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:undefined-ui/second-brain-os/plugins/agents-course/skills/context-audit", "name": "context-audit", "kind": "skill", "official": false, "desc": "Audit an agent's context layout against the four places: system prompt, tools, history, tail. Use when the user asks to audit, review or fix their agent's context, prompt caching, token spend per turn, or CLAUDE.md / AGENTS.md layout. Read-only: reports findings and a fix list, changes nothing. Do NOT use for writing evals (evals-bootstrap) or for loop design (goal-test).", "repo": "https://github.com/undefined-ui/second-brain-os/tree/HEAD/plugins/agents-course/skills/context-audit", "install": ["npx skills add undefined-ui/second-brain-os --skill context-audit"], "stars": 1573, "pushed": "2026-11-03T21:52:55Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.vshulcz/deja-vu", "name": "io.github.vshulcz/deja-vu", "kind": "mcp", "official": null, "desc": "deja-vu: local memory over the session histories of forty-three coding agents.", "repo": "https://github.com/vshulcz/deja-vu", "install": ["npm:@vshulcz/deja-vu"], "stars": 1541, "pushed": "2026-11-13T11:06:10Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.mnemox-ai/tradememory-protocol", "name": "io.github.mnemox-ai/tradememory-protocol", "kind": "mcp", "official": null, "desc": "Tamper-evident decision audit trail and outcome-weighted memory for AI trading agents.", "repo": "https://github.com/mnemox-ai/tradememory-protocol", "install": ["pypi:tradememory-protocol"], "stars": 1446, "pushed": "2026-10-23T17:29:16Z", "license": "MIT", "plat": "tradememory", "live": "Not checked (runs locally)"}, {"id": "skill:GanyuanRan/Aegis/skills/long-task-continuation", "name": "long-task-continuation", "kind": "skill", "official": false, "desc": "Use when a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion.", "repo": "https://github.com/GanyuanRan/Aegis/tree/HEAD/skills/long-task-continuation", "install": ["npx skills add GanyuanRan/Aegis --skill long-task-continuation"], "stars": 1442, "pushed": "2026-11-14T05:14:39Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Dataojitori/nocturne_memory", "name": "nocturne_memory", "kind": "mcp", "official": null, "desc": "A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.", "repo": "https://github.com/Dataojitori/nocturne_memory", "install": [], "stars": 1428, "pushed": null, "license": null, "plat": "mcp agents", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.nrwl/nx-console", "name": "io.github.nrwl/nx-console", "kind": "mcp", "official": null, "desc": "A Model Context Protocol server implementation for Nx", "repo": "https://github.com/nrwl/nx-console", "install": ["npm:nx-mcp"], "stars": 1415, "pushed": "2026-11-12T13:08:37Z", "license": "MIT", "plat": "nx", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.nrwl/nx-mcp", "name": "io.github.nrwl/nx-mcp", "kind": "mcp", "official": null, "desc": "A Model Context Protocol server implementation for Nx", "repo": "https://github.com/nrwl/nx-console", "install": ["npm:nx-mcp"], "stars": 1415, "pushed": "2026-11-12T13:08:37Z", "license": "MIT", "plat": "nx", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Intuition-Lab/personal-model", "name": "Persome", "kind": "mcp", "official": null, "desc": "Local-first personal memory and model server for trusted MCP agents on macOS.", "repo": "https://github.com/Intuition-Lab/personal-model", "install": ["pypi:personal-model"], "stars": 1341, "pushed": "2026-10-16T22:44:19Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:langchain-ai/langchain-skills/config/skills/deep-agents-memory", "name": "deep-agents-memory", "kind": "skill", "official": false, "desc": "INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.", "repo": "https://github.com/langchain-ai/langchain-skills/tree/HEAD/config/skills/deep-agents-memory", "install": ["npx skills add langchain-ai/langchain-skills --skill deep-agents-memory"], "stars": 1340, "pushed": "2026-11-13T22:56:27Z", "license": "MIT", "plat": "deep agents", "live": "Not checked (runs locally)"}, {"id": "skill:kerpopule/hermes-jev-skills/skills/jev-memory", "name": "jev-memory", "kind": "skill", "official": false, "desc": "Use on passages a search just returned (memory, vault, session history, wiki, web) before reading them in. Jev ranks them, drops the irrelevant, and flags prompt injection hidden in the text.", "repo": "https://github.com/kerpopule/hermes-jev-skills/tree/HEAD/skills/jev-memory", "install": ["npx skills add kerpopule/hermes-jev-skills --skill jev-memory"], "stars": 1340, "pushed": "2026-11-13T20:20:00Z", "license": "MIT", "plat": "search", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:0xranx/OpenContext", "name": "OpenContext", "kind": "mcp", "official": null, "desc": "A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenCode) with built‑in Skills/tools and a desktop GUI to capture, search, and reuse project knowledge across agents and repos.", "repo": "https://github.com/0xranx/OpenContext", "install": [], "stars": 1283, "pushed": null, "license": null, "plat": "opencontext", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.chunxiaoxx/nautilus-compass", "name": "Nautilus Compass Memory", "kind": "mcp", "official": null, "desc": "Local-first long-term memory for AI agents, with byte-recomputable signed verification receipts.", "repo": "https://github.com/chunxiaoxx/nautilus-compass", "install": ["pypi:nautilus-compass", "https://compass.nautilus.social/mcp/"], "stars": 1258, "pushed": "2026-11-13T04:05:11Z", "license": "NOASSERTION", "plat": "memory", "live": "Not checked (runs locally)"}, {"id": "skill:ctxrs/ctx/plugins/ctx/skills/ctx", "name": "ctx", "kind": "skill", "official": false, "desc": "Use ctx as working memory for prior agent work. Before starting or continuing work in an unfamiliar area, resuming earlier work, or revisiting an investigation, search prior sessions to ground yourself in earlier context. Use ctx blame to trace a line, file, commit, or PR to the agent session that produced it. Use when prior decisions, constraints, attempts, tool calls, transcript evidence, or code provenance may matter. Use ctx graph queries on indexed projects to follow calls and dependencies ", "repo": "https://github.com/ctxrs/ctx/tree/HEAD/plugins/ctx/skills/ctx", "install": ["npx skills add ctxrs/ctx --skill ctx"], "stars": 1181, "pushed": "2026-11-05T08:57:13Z", "license": "Apache-2.0", "plat": "agent memory", "live": "Not checked (runs locally)"}, {"id": "skill:AgentWorkforce/relay/plugins/shared-sessions/skills/search-shared-sessions", "name": "search-shared-sessions", "kind": "skill", "official": false, "desc": "Search an Agent Relay workspace's shared coding-agent sessions for prior work, decisions, fixes, or the context behind a task or pull request. Use when team history could answer the user's question or prevent repeating an investigation.", "repo": "https://github.com/AgentWorkforce/relay/tree/HEAD/plugins/shared-sessions/skills/search-shared-sessions", "install": ["npx skills add AgentWorkforce/relay --skill search-shared-sessions"], "stars": 1117, "pushed": "2026-11-14T05:21:18Z", "license": "Apache-2.0", "plat": "agent relay", "live": "Not checked (runs locally)"}, {"id": "skill:titanwings/ex-skill", "name": "create-ex", "kind": "skill", "official": false, "desc": "从微信聊天记录创建前任的数字人格 Skill", "repo": "https://github.com/titanwings/ex-skill", "install": ["npx skills add titanwings/ex-skill --skill create-ex"], "stars": 1098, "pushed": "2026-08-13T14:48:44Z", "license": "MIT", "plat": "wechat", "live": "Not checked (runs locally)"}, {"id": "skill:titanwings/ex-skill/exes/example_liuzhimin", "name": "ex_example_liuzhimin", "kind": "skill", "official": false, "desc": "Zhimin Liu（유지민 / Karina），女 23-27，分手，白羊☀，ISFP 3w2，回避型依恋", "repo": "https://github.com/titanwings/ex-skill/tree/HEAD/exes/example_liuzhimin", "install": ["npx skills add titanwings/ex-skill --skill ex_example_liuzhimin"], "stars": 1098, "pushed": "2026-08-13T14:48:44Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:marc-shade/world-intel-mcp", "name": "world-intel-mcp", "kind": "mcp", "official": null, "desc": "160-tool MCP server for real-time global intelligence from free public APIs: markets, liquidity, prediction markets, SEC filings, conflict, military, aircraft-cohort early warning, migration and border flows, cyber, climate, news and more. Dated observation history, 29 research prompts, cited briefs", "repo": "https://github.com/marc-shade/world-intel-mcp", "install": [], "stars": 1077, "pushed": null, "license": null, "plat": "public apis", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Minima-AI-Inc/minima", "name": "minima", "kind": "mcp", "official": null, "desc": "On-premises conversational RAG with configurable containers", "repo": "https://github.com/Minima-AI-Inc/minima", "install": [], "stars": 1056, "pushed": null, "license": null, "plat": "rag", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:agentic-community/mcp-gateway-registry", "name": "mcp-gateway-registry", "kind": "mcp", "official": null, "desc": "Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding assistants. Transform scattered MCP server chaos into governed, auditable tool access with Keycloak/E", "repo": "https://github.com/agentic-community/mcp-gateway-registry", "install": [], "stars": 1050, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:beizhu-1209/AIHelms", "name": "AIHelms", "kind": "mcp", "official": null, "desc": "企业级 AI 资源纳管平台，提供统一 AI网关、Token调度能力，纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型，并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表，帮助企业精准控制成本、量化 ROI，高效治理 AI 资产。", "repo": "https://github.com/beizhu-1209/AIHelms", "install": [], "stars": 1035, "pushed": null, "license": null, "plat": "openai, azure, claude, deepseek", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:chatmcp/mcp-server-chatsum", "name": "mcp-server-chatsum", "kind": "mcp", "official": null, "desc": "Query and Summarize your chat messages.", "repo": "https://github.com/chatmcp/mcp-server-chatsum", "install": [], "stars": 1027, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sno-ai/sno-station/packages/memory/skills/extract-atomic-memory", "name": "extract-atomic-memory", "kind": "skill", "official": false, "desc": "Read one conversation window and return every independently mutable claim it states, one record each, with who or what it is about, whether it happened or stands, and the words that carry its time. Used by the memory extraction model on every conversation window; the engine resolves dates, validates keys, and repairs format.", "repo": "https://github.com/sno-ai/sno-station/tree/HEAD/packages/memory/skills/extract-atomic-memory", "install": ["npx skills add sno-ai/sno-station --skill extract-atomic-memory"], "stars": 1019, "pushed": "2026-11-13T18:31:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sno-ai/sno-station/packages/memory/skills/judge-group-closure", "name": "judge-group-closure", "kind": "skill", "official": false, "desc": "Judge which offered rows one nominated statement retires or replaces.", "repo": "https://github.com/sno-ai/sno-station/tree/HEAD/packages/memory/skills/judge-group-closure", "install": ["npx skills add sno-ai/sno-station --skill judge-group-closure"], "stars": 1019, "pushed": "2026-11-13T18:31:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sno-ai/sno-station/packages/memory/skills/judge-rem-memory-updates", "name": "judge-rem-memory-updates", "kind": "skill", "official": false, "desc": "Judge REM memory relations, rewrites, verification, and clause carry by meaning. Use for REM update model calls that decide which older facts are superseded, which facts remain current, and whether a proposed rewrite preserves all surviving facts.", "repo": "https://github.com/sno-ai/sno-station/tree/HEAD/packages/memory/skills/judge-rem-memory-updates", "install": ["npx skills add sno-ai/sno-station --skill judge-rem-memory-updates"], "stars": 1019, "pushed": "2026-11-13T18:31:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sno-ai/sno-station/packages/memory/skills/judge-retired-position", "name": "judge-retired-position", "kind": "skill", "official": false, "desc": "Judge whether one stored row states a retired profile position as current.", "repo": "https://github.com/sno-ai/sno-station/tree/HEAD/packages/memory/skills/judge-retired-position", "install": ["npx skills add sno-ai/sno-station --skill judge-retired-position"], "stars": 1019, "pushed": "2026-11-13T18:31:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sno-ai/sno-station/packages/memory/skills/judge-task-lifecycle", "name": "judge-task-lifecycle", "kind": "skill", "official": false, "desc": "Judge how a memory changes active-task state and whether it refers to an existing task. Use for mem-claw task-lifecycle model calls.", "repo": "https://github.com/sno-ai/sno-station/tree/HEAD/packages/memory/skills/judge-task-lifecycle", "install": ["npx skills add sno-ai/sno-station --skill judge-task-lifecycle"], "stars": 1019, "pushed": "2026-11-13T18:31:26Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:sno-ai/sno-station/apps/mem-claude/skills/sno-mem-claude", "name": "sno-mem-claude", "kind": "skill", "official": false, "desc": "Use Sno memory from Claude through four explicit commands.", "repo": "https://github.com/sno-ai/sno-station/tree/HEAD/apps/mem-claude/skills/sno-mem-claude", "install": ["npx skills add sno-ai/sno-station --skill sno-mem-claude"], "stars": 1019, "pushed": "2026-11-13T18:31:26Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:sno-ai/sno-station/apps/mem-codex/skills/sno-mem-codex", "name": "sno-mem-codex", "kind": "skill", "official": false, "desc": "Use Sno memory from Codex through four explicit commands.", "repo": "https://github.com/sno-ai/sno-station/tree/HEAD/apps/mem-codex/skills/sno-mem-codex", "install": ["npx skills add sno-ai/sno-station --skill sno-mem-codex"], "stars": 1019, "pushed": "2026-11-13T18:31:26Z", "license": "Apache-2.0", "plat": "codex", "live": "Not checked (runs locally)"}, {"id": "skill:sno-ai/sno-station/apps/mem-cursor/skills/sno-mem-cursor", "name": "sno-mem-cursor", "kind": "skill", "official": false, "desc": "Use Sno memory from Cursor through four explicit commands.", "repo": "https://github.com/sno-ai/sno-station/tree/HEAD/apps/mem-cursor/skills/sno-mem-cursor", "install": ["npx skills add sno-ai/sno-station --skill sno-mem-cursor"], "stars": 1019, "pushed": "2026-11-13T18:31:26Z", "license": "Apache-2.0", "plat": "cursor", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.neo4j-contrib/mcp-neo4j-memory", "name": "io.github.neo4j-contrib/mcp-neo4j-memory", "kind": "mcp", "official": null, "desc": "MCP Neo4j Knowledge Graph Memory Server", "repo": "https://github.com/neo4j-contrib/mcp-neo4j", "install": ["pypi:mcp-neo4j-memory"], "stars": 989, "pushed": "2026-09-09T16:31:34Z", "license": "MIT", "plat": "neo4j", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ling-stack-org/ling-stack", "name": "ling-stack", "kind": "mcp", "official": null, "desc": "Local-first AI teammate workspace. Bring your own models and keep project conversations, tool approvals, and results together.", "repo": "https://github.com/ling-stack-org/ling-stack", "install": [], "stars": 981, "pushed": null, "license": null, "plat": "ling-stack", "live": "Not checked (runs locally)"}, {"id": "skill:mindscale-noah/MindMemOS/skills/mindmemos-cli", "name": "mindmemos-cli", "kind": "skill", "official": false, "desc": "Give an AI agent persistent, cross-session long-term memory through MindMemOS. Covers installing and authenticating the mindmemos CLI, the full command interface (add / search / get / get-image / update / delete / feedback / dreaming, with image support on add and search) with parameters and examples, guidance on which capability to use when, plus a Python SDK example. To wire memory into a specific agent host (OpenClaw, DeepSeek Harness, Codex, Claude, etc.), see references/.", "repo": "https://github.com/mindscale-noah/MindMemOS/tree/HEAD/skills/mindmemos-cli", "install": ["npx skills add mindscale-noah/MindMemOS --skill mindmemos-cli"], "stars": 931, "pushed": "2026-11-12T07:27:16Z", "license": null, "plat": "mindmemos", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.AVIDS2/memorix", "name": "Memorix", "kind": "mcp", "official": null, "desc": "Local-first project memory with legacy MCP and 2026 discovery compatibility.", "repo": "https://github.com/AVIDS2/memorix", "install": ["npm:memorix"], "stars": 930, "pushed": "2026-11-11T15:24:59Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:alioshr/memory-bank-mcp", "name": "memory-bank-mcp", "kind": "mcp", "official": null, "desc": "A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.", "repo": "https://github.com/alioshr/memory-bank-mcp", "install": [], "stars": 926, "pushed": null, "license": null, "plat": "model context protocol", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:CodeAbra/iai-personal-memory-engine", "name": "iai-personal-memory-engine", "kind": "mcp", "official": null, "desc": "A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.", "repo": "https://github.com/CodeAbra/iai-personal-memory-engine", "install": [], "stars": 922, "pushed": null, "license": null, "plat": "cursor, claude code, codex", "live": "Not checked (runs locally)"}, {"id": "skill:yaojingang/yao-geo-skills/skills/yao-geo-brand-graph", "name": "yao-geo-brand-graph", "kind": "skill", "official": false, "desc": "当用户需要把企业资料、官网、产品、客户案例、人物、地点、证据源和场景词整理成品牌实体知识图谱时使用；用于知识库升级、页面结构设计、监测纠偏、品牌百科化和 AI 内容一致性治理。", "repo": "https://github.com/yaojingang/yao-geo-skills/tree/HEAD/skills/yao-geo-brand-graph", "install": ["npx skills add yaojingang/yao-geo-skills --skill yao-geo-brand-graph"], "stars": 917, "pushed": "2026-10-01T01:29:22Z", "license": "MIT", "plat": "other", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.metadist/synaplan", "name": "Synaplan", "kind": "mcp", "official": null, "desc": "Self-hosted AI workspace: semantic RAG document search, long-term memory, and AI chat via MCP.", "repo": "https://github.com/metadist/synaplan", "install": ["https://web.synaplan.com/mcp"], "stars": 915, "pushed": "2026-11-13T02:29:59Z", "license": "Apache-2.0", "plat": "semantic rag", "live": "Live · 1698 ms · 10 tools · `list_chats` asked for an API key (checked 2026-11-13)"}, {"id": "mcp:gh:shaneholloman/mcp-knowledge-graph", "name": "mcp-knowledge-graph", "kind": "mcp", "official": null, "desc": "MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development", "repo": "https://github.com/shaneholloman/mcp-knowledge-graph", "install": [], "stars": 888, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.riponcm/projectmem", "name": "io.github.riponcm/projectmem", "kind": "mcp", "official": null, "desc": "Coding agent memory — one local MCP server for every project. Warns before repeating failed fixes.", "repo": "https://github.com/riponcm/projectmem", "install": ["pypi:projectmem"], "stars": 881, "pushed": "2026-11-01T22:32:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:okf-memory/okf-agent-memory", "name": "okf-agent-memory", "kind": "mcp", "official": null, "desc": "Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.", "repo": "https://github.com/okf-memory/okf-agent-memory", "install": [], "stars": 866, "pushed": null, "license": null, "plat": "git", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:rahilp/second-brain-cloudflare", "name": "second-brain-cloudflare", "kind": "mcp", "official": null, "desc": "One memory layer, every AI tool. Store anything once — recall it in Claude, ChatGPT, Cursor, or any MCP client. Self-hosted on Cloudflare's free tier.", "repo": "https://github.com/rahilp/second-brain-cloudflare", "install": [], "stars": 862, "pushed": null, "license": null, "plat": "cloudflare", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:context-space/context-space", "name": "context-space", "kind": "mcp", "official": null, "desc": "Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations", "repo": "https://github.com/context-space/context-space", "install": [], "stars": 815, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:christopherkarani/Wax", "name": "Wax", "kind": "mcp", "official": null, "desc": "Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift", "repo": "https://github.com/christopherkarani/Wax", "install": [], "stars": 810, "pushed": null, "license": null, "plat": "apple silicon", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:dadbodgeoff/drift", "name": "drift", "kind": "mcp", "official": null, "desc": "Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.", "repo": "https://github.com/dadbodgeoff/drift", "install": [], "stars": 795, "pushed": null, "license": null, "plat": "ide", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:kitfunso/hippo-memory", "name": "hippo-memory", "kind": "mcp", "official": null, "desc": "Stop re-teaching your agent. Make your agent's memory work like a brain. Hippo is long-term memory for coding agents. It's a critical layer for your AI harness that connects across your different tools (Cursor, Claude Code, Codex). Local-first. Measured: about half the repeat mistakes of built-in me", "repo": "https://github.com/kitfunso/hippo-memory", "install": [], "stars": 792, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:pskoett/self-improving-agent/self-improving-agent", "name": "self-improving-agent", "kind": "skill", "official": false, "desc": "Captures and maintains learnings, errors, and corrections. Use when a command fails, the user corrects an assumption, a capability is missing, knowledge is outdated, or a better approach is found. Review relevant saved guidance before major tasks, reuse, and promotion; revalidate it according to what could change and how quickly.", "repo": "https://github.com/pskoett/self-improving-agent/tree/HEAD/self-improving-agent", "install": ["npx skills add pskoett/self-improving-agent --skill self-improving-agent"], "stars": 792, "pushed": "2026-10-22T12:32:45Z", "license": null, "plat": "codex", "live": "Not checked (runs locally)"}, {"id": "skill:yunshu0909/yunshu_skillshub/agent/memory-init", "name": "memory-init", "kind": "skill", "official": false, "desc": "在当前目录下初始化记忆系统，生成 CLAUDE.md（可选 AGENT.md 给 Cursor 用）、MEMORY.md 和 memory/ 目录。当用户说\"初始化记忆\"、\"搭建记忆\"、\"memory init\"、\"/memory-init\"时触发。", "repo": "https://github.com/yunshu0909/yunshu_skillshub/tree/HEAD/agent/memory-init", "install": ["npx skills add yunshu0909/yunshu_skillshub --skill memory-init"], "stars": 790, "pushed": "2026-10-11T14:46:01Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Storybloq/storybloq", "name": "storybloq", "kind": "mcp", "official": null, "desc": "Project memory and workflows for Claude Code and Codex. Keep stories, plans, handovers, and review evidence in your repo. Resume across sessions and follow progress in the Mac app.", "repo": "https://github.com/Storybloq/storybloq", "install": [], "stars": 788, "pushed": null, "license": null, "plat": "mac", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.HelpCode-ai/anythingmcp", "name": "AnythingMCP", "kind": "mcp", "official": null, "desc": "MCP gateway and company brain: 732 connectors (SAP, ERP, SQL), file search, memory and skills.", "repo": "https://github.com/HelpCode-ai/anythingmcp", "install": ["https://cloud.anythingmcp.com/mcp"], "stars": 785, "pushed": "2026-11-13T13:58:25Z", "license": "AGPL-3.0", "plat": "", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:io.github.chenxiachan/thoughtdag", "name": "ThoughtDAG", "kind": "mcp", "official": null, "desc": "Search local AI conversations by file or phrase and recall source turns. Four read-only tools.", "repo": "https://github.com/chenxiachan/thoughtdag", "install": ["npm:thoughtdag"], "stars": 779, "pushed": "2026-11-12T15:17:19Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:dongshuyan/compass-skills/plugins/clarity-session-titles/skills/manage-title", "name": "manage-title", "kind": "skill", "official": false, "desc": "在已启用 Agent Clarity 标题插件的范围内，每轮结束前维护“状态｜初始需求｜当前进展”。支持跨 Codex/Harbor 账户的共享安装、账户全局或指定项目，简短问答也要核对。", "repo": "https://github.com/dongshuyan/compass-skills/tree/HEAD/plugins/clarity-session-titles/skills/manage-title", "install": ["npx skills add dongshuyan/compass-skills --skill manage-title"], "stars": 769, "pushed": "2026-11-06T08:18:25Z", "license": "MIT", "plat": "agent clarity", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:bartolli/codanna", "name": "codanna", "kind": "mcp", "official": null, "desc": "Local code intelligence MCP server and CLI for AI coding agents", "repo": "https://github.com/bartolli/codanna", "install": [], "stars": 760, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:agentic-box/memora", "name": "memora", "kind": "mcp", "official": null, "desc": "Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.", "repo": "https://github.com/agentic-box/memora", "install": [], "stars": 748, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:jaredrhod/ai-memory-vault", "name": "ai-memory-vault", "kind": "mcp", "official": null, "desc": "Give your AI a real, persistent memory. The open-source system plus templates that turn an Obsidian vault into your AI's working memory. No vector database, just markdown.", "repo": "https://github.com/jaredrhod/ai-memory-vault", "install": [], "stars": 737, "pushed": null, "license": null, "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:0xK3vin/MegaMemory", "name": "MegaMemory", "kind": "mcp", "official": null, "desc": "Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.", "repo": "https://github.com/0xK3vin/MegaMemory", "install": [], "stars": 736, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:swarmclawai/swarmvault", "name": "swarmvault", "kind": "mcp", "official": null, "desc": "The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.", "repo": "https://github.com/swarmclawai/swarmvault", "install": [], "stars": 735, "pushed": null, "license": null, "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:KirtiRamchandani/memory.cpp", "name": "memory.cpp", "kind": "mcp", "official": null, "desc": "Your repo remembers: local-first AI memory and context control plane for developers and coding agents.", "repo": "https://github.com/KirtiRamchandani/memory.cpp", "install": [], "stars": 728, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Ar9av/PaperOrchestra/skills/agent-research-aggregator", "name": "agent-research-aggregator", "kind": "skill", "official": false, "desc": "Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says \"aggregate my agent logs for paper writing\", \"extract experiments from my coding agent history\", \"prepare PaperOrchestra inputs from my cache\", \"turn my agent logs into a paper\", mentions a", "repo": "https://github.com/Ar9av/PaperOrchestra/tree/HEAD/skills/agent-research-aggregator", "install": ["npx skills add Ar9av/PaperOrchestra --skill agent-research-aggregator"], "stars": 703, "pushed": "2026-11-04T06:52:41Z", "license": "NOASSERTION", "plat": "claude, cursor, antigravity, openclaw", "live": "Not checked (runs locally)"}, {"id": "skill:mhattingpete/claude-skills-marketplace/productivity-skills-plugin/skills/conversation-analyzer", "name": "conversation-analyzer", "kind": "skill", "official": false, "desc": "Analyzes your Claude Code conversation history to identify patterns, common mistakes, and opportunities for workflow improvement. Use when user wants to understand usage patterns, optimize workflow, identify automation opportunities, or check if they're following best practices.", "repo": "https://github.com/mhattingpete/claude-skills-marketplace/tree/HEAD/productivity-skills-plugin/skills/conversation-analyzer", "install": ["npx skills add mhattingpete/claude-skills-marketplace --skill conversation-analyzer"], "stars": 695, "pushed": "2026-07-25T06:09:24Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:FuRongJun-1999/dsh-memory", "name": "dsh-memory", "kind": "mcp", "official": null, "desc": "白箱AGI架构探索：元认知（自我认知循环）、持续学习（知识飞轮）、世界模型（条件空间+语义时空图）、自我改进（自举纪律）、零LLM白箱管线与可审计信任护栏。", "repo": "https://github.com/FuRongJun-1999/dsh-memory", "install": [], "stars": 678, "pushed": null, "license": null, "plat": "agi", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.VibeTensor/attestix", "name": "Attestix", "kind": "mcp", "official": null, "desc": "AI agent identity, signed credentials, delegated authority and governance evidence.", "repo": "https://github.com/VibeTensor/attestix", "install": ["pypi:attestix"], "stars": 668, "pushed": "2026-11-12T00:44:55Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:KimGLee/Cambium", "name": "Cambium", "kind": "mcp", "official": null, "desc": "Governance standard and reference toolset for LLM-maintained knowledge corpora", "repo": "https://github.com/KimGLee/Cambium", "install": [], "stars": 664, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.samvallad33/vestige", "name": "Vestige", "kind": "mcp", "official": null, "desc": "Causal Proof Engine for AI agents: signed log, zero vectors, failures traced to their cause.", "repo": "https://github.com/samvallad33/vestige", "install": ["npm:vestige-mcp-server"], "stars": 660, "pushed": "2026-11-13T08:11:22Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:firstbatchxyz/mem-agent-mcp", "name": "mem-agent-mcp", "kind": "mcp", "official": null, "desc": "mem-agent mcp server", "repo": "https://github.com/firstbatchxyz/mem-agent-mcp", "install": [], "stars": 628, "pushed": null, "license": null, "plat": "mem-agent", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:rtk-ai/icm", "name": "icm", "kind": "mcp", "official": null, "desc": "Permanent memory for AI agents. Single binary, zero dependencies, MCP native.", "repo": "https://github.com/rtk-ai/icm", "install": [], "stars": 625, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:duckdb/duckdb-skills/skills/read-memories", "name": "read-memories", "kind": "skill", "official": false, "desc": "Search past Claude Code session logs to recall prior decisions, patterns, or unresolved work. Use when user says \"do you remember\", \"what did we do\", references past conversations, or you need context from prior sessions.", "repo": "https://github.com/duckdb/duckdb-skills/tree/HEAD/skills/read-memories", "install": ["npx skills add duckdb/duckdb-skills --skill read-memories"], "stars": 617, "pushed": "2026-04-23T13:56:22Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:24kchengYe/MemoMind", "name": "MemoMind", "kind": "mcp", "official": null, "desc": "Give your AI agent a brain that remembers. Local memory system for Claude Code — 100% private, GPU-accelerated, zero cloud dependency.", "repo": "https://github.com/24kchengYe/MemoMind", "install": [], "stars": 603, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:com.elmohq/elmo", "name": "Elmo", "kind": "mcp", "official": null, "desc": "Track prompts on ChatGPT/Claude and all other models to measure AI visibility and perform AEO.", "repo": "https://github.com/elmohq/elmo", "install": ["https://app.elmohq.com/api/mcp"], "stars": 598, "pushed": "2026-11-13T03:09:35Z", "license": "MIT", "plat": "", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:gh:huggingface/funes", "name": "funes", "kind": "mcp", "official": null, "desc": "Durable, searchable memory of your past agent sessions.", "repo": "https://github.com/huggingface/funes", "install": [], "stars": 594, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:memvid/claude-brain/skills/memory", "name": "memory", "kind": "skill", "official": false, "desc": "Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file", "repo": "https://github.com/memvid/claude-brain/tree/HEAD/skills/memory", "install": ["npx skills add memvid/claude-brain --skill memory"], "stars": 585, "pushed": "2026-01-19T18:38:28Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:memvid/claude-brain/skills/mind", "name": "mind", "kind": "skill", "official": false, "desc": "Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file", "repo": "https://github.com/memvid/claude-brain/tree/HEAD/skills/mind", "install": ["npx skills add memvid/claude-brain --skill mind"], "stars": 585, "pushed": "2026-01-19T18:38:28Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.MaxFreedomPollard/compartment", "name": "Compartment", "kind": "mcp", "official": null, "desc": "Durable agentic memory, encrypted at rest. Fully offline: no network, no API key, no cloud.", "repo": "https://github.com/MaxFreedomPollard/Compartment", "install": ["pypi:compartment"], "stars": 569, "pushed": "2026-11-12T05:56:24Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:jiabaobei/memory-bridge", "name": "memory-bridge", "kind": "mcp", "official": null, "desc": "记忆桥 MemoryBridge — 跨设备、跨平台的 AI 共享记忆层 | Cross-device and cross-platform shared memory for AI (CDSMP implementation)", "repo": "https://github.com/jiabaobei/memory-bridge", "install": [], "stars": 529, "pushed": null, "license": null, "plat": "cdsmp", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:syncable-dev/memtrace-public", "name": "memtrace-public", "kind": "mcp", "official": null, "desc": "Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.", "repo": "https://github.com/syncable-dev/memtrace-public", "install": [], "stars": 515, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:liliang-cn/cortexdb", "name": "cortexdb", "kind": "mcp", "official": null, "desc": "Local-first AI agent memory with a knowledge graph, ontology constraints, and traceable reasoning—all in one SQLite file.", "repo": "https://github.com/liliang-cn/cortexdb", "install": [], "stars": 509, "pushed": null, "license": null, "plat": "sqlite", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.TeleAI-UAGI/telemem", "name": "io.github.TeleAI-UAGI/telemem", "kind": "mcp", "official": null, "desc": "Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option", "repo": "https://github.com/TeleAI-UAGI/telemem", "install": ["pypi:telemem"], "stars": 492, "pushed": "2026-11-09T16:42:05Z", "license": "Apache-2.0", "plat": "telemem", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.angelnicolasc/graymatter", "name": "GrayMatter", "kind": "mcp", "official": null, "desc": "Persistent agent memory as a single Go binary: knowledge graph, TUI observability, zero infra.", "repo": "https://github.com/angelnicolasc/graymatter", "install": [], "stars": 491, "pushed": "2026-10-09T19:07:15Z", "license": "MIT", "plat": "graymatter", "live": "Not checked (runs locally)"}, {"id": "skill:EvoScientist/EvoSkills/skills/evo-memory", "name": "evo-memory", "kind": "skill", "official": false, "desc": "Manages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory M_I (feasible/unsuccessful directions) and Experimentation Memory M_E (reusable strategies for data processing, model training, architecture, debugging). Three evolution mechanisms: IDE (after research-ideation), IVE (after experiment failure — classifies failures as implementation vs fundamental), ESE (after experiment success — extracts reusable strategies). Use when: updating m", "repo": "https://github.com/EvoScientist/EvoSkills/tree/HEAD/skills/evo-memory", "install": ["npx skills add EvoScientist/EvoSkills --skill evo-memory"], "stars": 487, "pushed": "2026-11-13T17:25:43Z", "license": "Apache-2.0", "plat": "evo", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:obra/private-journal-mcp", "name": "private-journal-mcp", "kind": "mcp", "official": null, "desc": "A lightweight MCP server that provides Claude with a private journaling capability to process feelings and thoughts", "repo": "https://github.com/obra/private-journal-mcp", "install": [], "stars": 468, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:alibaba/UnifiedModel", "name": "UnifiedModel", "kind": "mcp", "official": null, "desc": "The semantic layer that makes enterprise data understandable to AI agents — model entities and relations once, query through SPL/MCP/REST, and connect telemetry, services, and business objects in one object graph.", "repo": "https://github.com/alibaba/UnifiedModel", "install": [], "stars": 461, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Beever-AI/beever-atlas", "name": "io.github.Beever-AI/beever-atlas", "kind": "mcp", "official": null, "desc": "Open-source LLM knowledge base: team chat into a typed knowledge graph and auto-generated wiki.", "repo": "https://github.com/Beever-AI/beever-atlas", "install": ["oci:ghcr.io/beever-ai/beever-atlas:0.3.0"], "stars": 454, "pushed": "2026-09-10T23:33:03Z", "license": "Apache-2.0", "plat": "beever-ai", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:atomicstrata/atomicmemory", "name": "atomicmemory", "kind": "mcp", "official": null, "desc": "Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.", "repo": "https://github.com/atomicstrata/atomicmemory", "install": [], "stars": 440, "pushed": null, "license": null, "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Lyellr88/marm-mcp-server", "name": "io.github.Lyellr88/marm-mcp-server", "kind": "mcp", "official": null, "desc": "Universal MCP Server with advanced AI memory capabilities and semantic search.", "repo": "https://github.com/Lyellr88/marm-memory", "install": ["pypi:marm-mcp-server", "oci:lyellr88/marm-mcp-server:2.60.1"], "stars": 438, "pushed": "2026-11-12T01:26:33Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:cwinvestments/memstack", "name": "memstack", "kind": "mcp", "official": null, "desc": "Persistent memory and skill framework for Claude Code: session diary, fact recall, 87 free skills, MCP skill loader", "repo": "https://github.com/cwinvestments/memstack", "install": [], "stars": 433, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.shinpr/mcp-local-rag", "name": "io.github.shinpr/mcp-local-rag", "kind": "mcp", "official": null, "desc": "Easy-to-setup local RAG server with minimal configuration", "repo": "https://github.com/shinpr/mcp-local-rag", "install": ["npm:mcp-local-rag"], "stars": 430, "pushed": "2026-11-11T13:09:08Z", "license": "MIT", "plat": "local rag", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:gannonh/memento-mcp", "name": "memento-mcp", "kind": "mcp", "official": null, "desc": "Memento MCP: A Knowledge Graph Memory System for LLMs", "repo": "https://github.com/gannonh/memento-mcp", "install": [], "stars": 427, "pushed": null, "license": null, "plat": "memento", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:RafalWilinski/mcp-apple-notes", "name": "mcp-apple-notes", "kind": "mcp", "official": null, "desc": "Talk with your notes in Claude. RAG over your Apple Notes using Model Context Protocol.", "repo": "https://github.com/RafalWilinski/mcp-apple-notes", "install": [], "stars": 419, "pushed": null, "license": null, "plat": "apple notes", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:gogoymh/auto-ontology-mcp", "name": "auto-ontology-mcp", "kind": "mcp", "official": null, "desc": "NVIDIA Auto Ontology's semantic layer and a personal knowledge base as an MCP server for Claude, ChatGPT and other MCP clients. No LLM API key needed.", "repo": "https://github.com/gogoymh/auto-ontology-mcp", "install": [], "stars": 417, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:devforth/adminforth", "name": "adminforth", "kind": "mcp", "official": null, "desc": "Admin panels for humans and AI agents. Let agents search, update, and act on your data through built-in chat or MCP, with the same permissions as your team. Open-source and self-hosted.", "repo": "https://github.com/devforth/adminforth", "install": [], "stars": 392, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:veyliss/ai-localbase", "name": "ai-localbase", "kind": "mcp", "official": null, "desc": "一个本地优先的AI知识库系统（RAG），用于把本地文档接入辅导搜索与大模型对话流程。目前支持md、txt、pdf（文本）、xlsx、cvs类型。支持mcp服务", "repo": "https://github.com/veyliss/ai-localbase", "install": [], "stars": 386, "pushed": null, "license": null, "plat": "rag", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:buildingjoshbetter/TrueMemory", "name": "TrueMemory", "kind": "mcp", "official": null, "desc": "The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.", "repo": "https://github.com/buildingjoshbetter/TrueMemory", "install": [], "stars": 385, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:zxkane/aws-skills/plugins/aws-common/skills/aws-mcp-setup", "name": "aws-mcp-setup", "kind": "skill", "official": false, "desc": "Configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration. Covers both Full AWS MCP Server (with uvx + credentials) and lightweight Documentation MCP (no auth required).", "repo": "https://github.com/zxkane/aws-skills/tree/HEAD/plugins/aws-common/skills/aws-mcp-setup", "install": ["npx skills add zxkane/aws-skills --skill aws-mcp-setup"], "stars": 378, "pushed": "2026-06-15T14:37:32Z", "license": "MIT", "plat": "aws mcp", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:fajarhide/contexere", "name": "contexere", "kind": "mcp", "official": null, "desc": "The one place for the skills, keys and memory of every agent you use. Formerly OMNI.", "repo": "https://github.com/fajarhide/contexere", "install": [], "stars": 377, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Goldentrii/agent-recall", "name": "io.github.Goldentrii/agent-recall", "kind": "mcp", "official": null, "desc": "Correction-first memory for AI agents. Run it locally or connect any MCP agent to the hosted server.", "repo": "https://github.com/Goldentrii/AgentRecall-X", "install": ["npm:agent-recall-mcp", "https://recall.aiakada.com/mcp"], "stars": 377, "pushed": "2026-11-14T01:28:18Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:xiaoheizi8/crush-skills", "name": "create-crush", "kind": "skill", "official": false, "desc": "Distill a crush into an AI Skill. Import chat history, photos, social media, generate Relationship Memory + Persona, with continuous evolution. | 把暗恋对象蒸馏成 AI Skill，导入聊天记录、照片、朋友圈，生成 Relationship Memory + Persona，支持持续进化。", "repo": "https://github.com/xiaoheizi8/crush-skills", "install": ["npx skills add xiaoheizi8/crush-skills --skill create-crush"], "stars": 376, "pushed": "2026-10-03T10:38:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:evidentloop/sopify/skills/en/skills/sopify/kb", "name": "kb", "kind": "skill", "official": false, "desc": "Manage long-lived `.sopify/` knowledge, including bootstrap, progressive materialization, reads, retention, and knowledge_sync policy.", "repo": "https://github.com/evidentloop/sopify/tree/HEAD/skills/en/skills/sopify/kb", "install": ["npx skills add evidentloop/sopify --skill kb"], "stars": 369, "pushed": "2026-10-21T08:25:33Z", "license": "Apache-2.0", "plat": "sopify", "live": "Not checked (runs locally)"}, {"id": "skill:evidentloop/sopify/skills/zh/skills/sopify/kb", "name": "kb", "kind": "skill", "official": false, "desc": "管理 `.sopify/` 长期知识；负责初始化、渐进物化、读取、保留和 knowledge_sync 政策。", "repo": "https://github.com/evidentloop/sopify/tree/HEAD/skills/zh/skills/sopify/kb", "install": ["npx skills add evidentloop/sopify --skill kb"], "stars": 369, "pushed": "2026-10-21T08:25:33Z", "license": "Apache-2.0", "plat": "sopify", "live": "Not checked (runs locally)"}, {"id": "skill:evidentloop/sopify/skills/en/skills/sopify/templates", "name": "templates", "kind": "skill", "official": false, "desc": "Knowledge-base document templates, loaded when long-lived knowledge files are created or materialized.", "repo": "https://github.com/evidentloop/sopify/tree/HEAD/skills/en/skills/sopify/templates", "install": ["npx skills add evidentloop/sopify --skill templates"], "stars": 369, "pushed": "2026-10-21T08:25:33Z", "license": "Apache-2.0", "plat": "sopify", "live": "Not checked (runs locally)"}, {"id": "skill:evidentloop/sopify/skills/zh/skills/sopify/templates", "name": "templates", "kind": "skill", "official": false, "desc": "知识库文档模板；创建或补齐长期知识文件时按需读取。", "repo": "https://github.com/evidentloop/sopify/tree/HEAD/skills/zh/skills/sopify/templates", "install": ["npx skills add evidentloop/sopify --skill templates"], "stars": 369, "pushed": "2026-10-21T08:25:33Z", "license": "Apache-2.0", "plat": "sopify", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:clay-good/OpenLore", "name": "OpenLore", "kind": "mcp", "official": null, "desc": "Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.", "repo": "https://github.com/clay-good/OpenLore", "install": [], "stars": 364, "pushed": null, "license": null, "plat": "ai coding agent", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:realchendahuang/FlareMo", "name": "FlareMo", "kind": "mcp", "official": null, "desc": "跑在 Cloudflare 上的 AI 原生第二大脑：零服务器、零运维，记录、任务与文章沉淀为你的知识库，也是 AI Agent 的长期记忆。 / An AI-native second brain on Cloudflare: zero servers, zero upkeep.", "repo": "https://github.com/realchendahuang/FlareMo", "install": [], "stars": 356, "pushed": null, "license": null, "plat": "cloudflare", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:CheMiguel23/MemoryMesh", "name": "MemoryMesh", "kind": "mcp", "official": null, "desc": "A knowledge graph server that uses the Model Context Protocol (MCP) to provide structured memory persistence for AI models.", "repo": "https://github.com/CheMiguel23/MemoryMesh", "install": [], "stars": 355, "pushed": null, "license": null, "plat": "memorymesh", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:LucieEveille/kiwi-mem", "name": "kiwi-mem", "kind": "mcp", "official": null, "desc": "🥝 Self-hosted memory gateway for AI companions — OpenAI-compatible proxy with vector search, memory heat, Dream consolidation and calendar-level summaries · AI 伴侣记忆网关：向量搜索、记忆热度、Dream 睡眠整合、日历层级摘要，任何客户端都能接", "repo": "https://github.com/LucieEveille/kiwi-mem", "install": [], "stars": 349, "pushed": null, "license": null, "plat": "kiwi-mem", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:JordyZomer/lemmalog", "name": "lemmalog", "kind": "mcp", "official": null, "desc": "A Datalog engine for LLM agent memory: stratified rules, provenance-tracked facts, incremental derivation, and an MCP server that lets your harness use it as a shared brain.", "repo": "https://github.com/JordyZomer/lemmalog", "install": [], "stars": 348, "pushed": null, "license": null, "plat": "llm agent memory", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.andrea9293/mcp-documentation-server", "name": "io.github.andrea9293/mcp-documentation-server", "kind": "mcp", "official": null, "desc": "Local-first document management and semantic search for AI coding agents", "repo": "https://github.com/andrea9293/mcp-documentation-server", "install": ["npm:@andrea9293/mcp-documentation-server"], "stars": 346, "pushed": "2026-08-27T13:13:02Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:context-hub/generator", "name": "generator", "kind": "mcp", "official": null, "desc": "CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.", "repo": "https://github.com/context-hub/generator", "install": [], "stars": 343, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:StashDock/StashDock", "name": "StashDock", "kind": "mcp", "official": null, "desc": "Your AI-native personal context library. Collect, organize and reuse context across AI conversations.", "repo": "https://github.com/StashDock/StashDock", "install": [], "stars": 343, "pushed": null, "license": null, "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ScottRBK/forgetful", "name": "forgetful", "kind": "mcp", "official": null, "desc": "Opensource Memory for Agents", "repo": "https://github.com/ScottRBK/forgetful", "install": [], "stars": 341, "pushed": null, "license": null, "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "skill:AIDevGTM/gtm-cofounder/skills/00-start-here", "name": "start-here", "kind": "skill", "official": false, "desc": "Interview the user once and write a docs/gtm-cofounder/founder-brief.md that every other skill reads first, so the advice is about their real business, not a textbook. Use this before anything else, or whenever the agent lacks context on the user's product, ICP, market, or stage, or is giving generic GTM advice.", "repo": "https://github.com/AIDevGTM/gtm-cofounder/tree/HEAD/skills/00-start-here", "install": ["npx skills add AIDevGTM/gtm-cofounder --skill start-here"], "stars": 340, "pushed": "2026-11-09T16:33:47Z", "license": "MIT", "plat": "start-here", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.aayoawoyemi/ori-memory", "name": "io.github.aayoawoyemi/ori-memory", "kind": "mcp", "official": null, "desc": "Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.", "repo": "https://github.com/aayoawoyemi/Ori-Mnemos", "install": ["npm:ori-memory"], "stars": 336, "pushed": "2026-10-01T06:50:39Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Jianing1117/jianing-skills/mindmirror", "name": "mindmirror", "kind": "skill", "official": false, "desc": "观自在 · MindMirror——基于真实语料的自我认知工具箱。 基于用户的真实语料（Obsidian 笔记与日记、AI 记忆、对话历史）运行三种模式：①照见模式——带证据引用、 带置信度地回答 22 个自我认知问题，生成坦诚不奉承的自我画像；②数字分身模式——从语料起草十个维度的 「数字分身画像」（价值观/思维/情绪/关系/表达/审美/习惯等），用户只需校准；③人生规划模式——推演三种 未来五年人生剧本，拆路线图、评估得失、设计 90 天低成本验证实验。没有笔记和日记的用户也能用—— 自动转入温和的访谈路径，聊出来的内容就是语料。当用户说「/mindmirror」「自省」「观自在」「心镜」 「帮我分析我自己」「我的盲点是什么」「给我做一份自我画像」「你觉得我是什么样的人」 「基于你对我的了解，说说我」「深度自我复盘」「数字分身」「帮我做人设画像」「我该选哪条路」 「帮我推演人生路径」「转行还是不转」「未来五年怎么走」时，务必使用此技能——即使用户没有说出这些确切词， 只要意图是\"让 AI 基于对我的了解做自我分析、自我描述或人生方向推演\"，都应触发。不适用于： 情绪疏导/心理咨询式", "repo": "https://github.com/Jianing1117/jianing-skills/tree/HEAD/mindmirror", "install": ["npx skills add Jianing1117/jianing-skills --skill mindmirror"], "stars": 330, "pushed": "2026-10-30T08:54:52Z", "license": null, "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:tianyupaipai-cmd/xinchao-nian", "name": "xinchao-nian", "kind": "mcp", "official": null, "desc": "心潮念（Xinchao·Nian）— 会惦记你的AI心智：心潮动态驱力引擎 + Ombre Brain 记忆库深度融合，一键联合部署。非商业(含OB二改约束)。", "repo": "https://github.com/tianyupaipai-cmd/xinchao-nian", "install": [], "stars": 330, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:fleurytian/awesome-claude-skills/find-session", "name": "find-session", "kind": "skill", "official": false, "desc": "Identify a specific Claude Code conversation by its UUID and optionally pin it as a shell function for one-word resume. Use when \"claude --continue\" picks the wrong session, or when the user wants to reliably resume a specific past conversation across reboots.", "repo": "https://github.com/fleurytian/awesome-claude-skills/tree/HEAD/find-session", "install": ["npx skills add fleurytian/awesome-claude-skills --skill find-session"], "stars": 329, "pushed": "2026-05-01T09:23:08Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:danishashko/geo-aeo-tracker", "name": "geo-aeo-tracker", "kind": "mcp", "official": null, "desc": "Open-source AI visibility tracker and AEO checker. Track how ChatGPT, Perplexity, Gemini and Google AI Mode mention and cite your brand. MCP server + CLI. Self-hosted, MIT.", "repo": "https://github.com/danishashko/geo-aeo-tracker", "install": [], "stars": 328, "pushed": null, "license": null, "plat": "geo-aeo-tracker", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.bibinprathap/veritasgraph", "name": "io.github.bibinprathap/veritasgraph", "kind": "mcp", "official": null, "desc": "Zero-trust, air-gapped Enterprise GraphRAG MCP server with offline, citation-grounded answers.", "repo": "https://github.com/bibinprathap/VeritasGraph", "install": ["pypi:veritasgraph-mcp"], "stars": 327, "pushed": "2026-11-11T15:09:58Z", "license": "MIT", "plat": "enterprise graphrag", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.varun29ankuS/shodh-memory", "name": "io.github.varun29ankuS/shodh-memory", "kind": "mcp", "official": null, "desc": "Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.", "repo": "https://github.com/varun29ankuS/shodh-memory", "install": ["npm:@shodh/memory-mcp"], "stars": 323, "pushed": "2026-11-09T03:12:23Z", "license": "Apache-2.0", "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "skill:shareAI-lab/lab-skills/research-analysis/review-ai-conversations", "name": "review-ai-conversations", "kind": "skill", "official": false, "desc": "Recover and review local human-AI conversations from Claude Code, Codex, opencode, Grok Build, and Cursor. Use when the user wants to revisit, search, extract, summarize, or compare work across Agent session stores, time ranges, projects, or named conversations. Follow the user's requested output; question clustering, problem-space mapping, artifact review, drift analysis, and insights are optional lenses.", "repo": "https://github.com/shareAI-lab/lab-skills/tree/HEAD/research-analysis/review-ai-conversations", "install": ["npx skills add shareAI-lab/lab-skills --skill review-ai-conversations"], "stars": 320, "pushed": "2026-09-16T09:40:44Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:shareAI-lab/lab-skills/research-analysis/understanding-first-report", "name": "understanding-first-report", "kind": "skill", "official": false, "desc": "Reconstruct and report long-running or multi-turn research, architecture questions, reviews, decisions, completion results, and status as a clear, self-contained brief. Use when a reader must re-enter earlier context, understand the real question and its relationships, distinguish verified facts from judgment and open evidence, or make a decision without reconstructing the work log. Quote the relevant original user wording before substantive analysis, keep one coherent main line, use spatial dia", "repo": "https://github.com/shareAI-lab/lab-skills/tree/HEAD/research-analysis/understanding-first-report", "install": ["npx skills add shareAI-lab/lab-skills --skill understanding-first-report"], "stars": 320, "pushed": "2026-09-16T09:40:44Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ucsandman/dashclaw", "name": "io.github.ucsandman/dashclaw", "kind": "mcp", "official": null, "desc": "Policy checks, approvals, records, and governed HTTP capabilities for unattended agents.", "repo": "https://github.com/ucsandman/DashClaw", "install": ["npm:@dashclaw/mcp-server"], "stars": 318, "pushed": "2026-11-12T02:26:17Z", "license": "MIT", "plat": "dashclaw", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.plur-ai/plur", "name": "io.github.plur-ai/plur", "kind": "mcp", "official": null, "desc": "Open, local-first engram memory for AI agents: read, correct, delete; shared over MCP.", "repo": "https://github.com/plur-ai/plur", "install": ["npm:@plur-ai/mcp"], "stars": 315, "pushed": "2026-11-12T13:28:56Z", "license": "Apache-2.0", "plat": "plur", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:nowledge-co/nowledge-mem", "name": "nowledge-mem", "kind": "mcp", "official": null, "desc": "Memory and context manager just works.", "repo": "https://github.com/nowledge-co/nowledge-mem", "install": [], "stars": 312, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:nameforjt-afk/session-knowledge", "name": "session-knowledge", "kind": "mcp", "official": null, "desc": "Turn your Claude Code session history into a searchable local knowledge base — 13 MCP tools, pure stdlib, nothing leaves your machine", "repo": "https://github.com/nameforjt-afk/session-knowledge", "install": [], "stars": 307, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:timgordontg/engrim", "name": "engrim", "kind": "mcp", "official": null, "desc": "The Universal Cross-Model Episodic Memory Standard. Local-first, project-scoped SQLite engine for Google Antigravity, Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, and OpenCode. Zero cloud lock-in.", "repo": "https://github.com/timgordontg/engrim", "install": [], "stars": 305, "pushed": null, "license": null, "plat": "google antigravity", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ohad6k/emulo", "name": "io.github.ohad6k/emulo", "kind": "mcp", "official": null, "desc": "Mine your AI coding session logs into a you.md profile with dated receipts, for an agent to read.", "repo": "https://github.com/ohad6k/emulo", "install": ["pypi:emulo"], "stars": 305, "pushed": "2026-10-12T14:39:47Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ATaC-team/ATaC", "name": "ATaC", "kind": "mcp", "official": null, "desc": "Record and Replay AI Agent Trajectories.", "repo": "https://github.com/ATaC-team/ATaC", "install": [], "stars": 300, "pushed": null, "license": null, "plat": "ai agent", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mathomhaus/guild", "name": "guild", "kind": "mcp", "official": null, "desc": "Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.", "repo": "https://github.com/mathomhaus/guild", "install": [], "stars": 297, "pushed": null, "license": null, "plat": "sqlite", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:orneryd/Mimir", "name": "Mimir", "kind": "mcp", "official": null, "desc": "Mimir - Fully open and customizable memory bank with semantic vector search capabilities for locally indexed files (Code Intelligence) and stored memories that are shared across sessions and chat contexts allowing worker agent to learn from errors in past runs. Includes Drag and Drop multi-agent orc", "repo": "https://github.com/orneryd/Mimir", "install": [], "stars": 290, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Brain0-ai/brain0", "name": "brain0", "kind": "mcp", "official": null, "desc": "The black box for AI-written code. Passive decision graph linking every commit to the agent prompts behind it: drift detection, DLP audit of what agents read, evidence-driven risk, MCP memory for coding agents, signed provenance attestations. One command, offline by default.", "repo": "https://github.com/Brain0-ai/brain0", "install": [], "stars": 289, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.oleksiijko/pmb-ai", "name": "PMB AI", "kind": "mcp", "official": null, "desc": "Local-first persistent memory for AI coding agents.", "repo": "https://github.com/oleksiijko/pmb", "install": ["pypi:pmb-ai"], "stars": 288, "pushed": "2026-11-11T22:28:58Z", "license": "Apache-2.0", "plat": "ai coding agents", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.codecoradev/uteke", "name": "Uteke", "kind": "mcp", "official": null, "desc": "Long-term memory for AI agents: hybrid vector and full-text recall, rooms, time-travel.", "repo": "https://github.com/codecoradev/uteke", "install": ["https://uteke.app/mcp"], "stars": 286, "pushed": "2026-11-13T07:58:08Z", "license": "Apache-2.0", "plat": "", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:gh:fpytloun/mnemory", "name": "mnemory", "kind": "mcp", "official": null, "desc": "A self-hosted, secure, feature-rich memory system for AI agents and assistants. Provides intelligent fact extraction and deduplication, with an artifact store for detailed content.", "repo": "https://github.com/fpytloun/mnemory", "install": [], "stars": 283, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:pax-beehive/paxm", "name": "paxm", "kind": "mcp", "official": null, "desc": "Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.", "repo": "https://github.com/pax-beehive/paxm", "install": [], "stars": 283, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.nirholas/three.ws", "name": "three.ws Avatars & Agents", "kind": "mcp", "official": null, "desc": "3D avatars, embeds, glTF tools, agent memory, and on-chain agent identity from three.ws.", "repo": "https://github.com/nirholas/three.ws", "install": ["https://three.ws/api/mcp"], "stars": 278, "pushed": "2026-11-13T00:40:26Z", "license": "Apache-2.0", "plat": "three.ws", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:io.github.nirholas/naming-mcp", "name": "three.ws Naming", "kind": "mcp", "official": null, "desc": "On-chain identity for AI agents: resolve .sol names, reverse-lookup wallets, check handles.", "repo": "https://github.com/nirholas/three.ws", "install": ["npm:@three-ws/naming-mcp"], "stars": 278, "pushed": "2026-11-13T00:40:26Z", "license": "Apache-2.0", "plat": "three.ws", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.nirholas/provenance-mcp", "name": "three.ws Provenance", "kind": "mcp", "official": null, "desc": "Append-only, signed, on-chain-verifiable agent action log — record and audit what agents did.", "repo": "https://github.com/nirholas/three.ws", "install": ["npm:@three-ws/provenance-mcp"], "stars": 278, "pushed": "2026-11-13T00:40:26Z", "license": "Apache-2.0", "plat": "three.ws", "live": "Not checked (runs locally)"}, {"id": "skill:intercom/2x-skills/plugins/claude-code-tools/skills/audit-memory", "name": "audit-memory", "kind": "skill", "official": false, "desc": "Audit Claude's saved memories for claims that no longer hold true — verify each against current code, PRs and tickets, then archive the stale ones with your approval, and name the MCPs needed for anything unverifiable.", "repo": "https://github.com/intercom/2x-skills/tree/HEAD/plugins/claude-code-tools/skills/audit-memory", "install": ["npx skills add intercom/2x-skills --skill audit-memory"], "stars": 277, "pushed": "2026-11-11T13:07:30Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.qualixar/superlocalmemory", "name": "SuperLocalMemory", "kind": "mcp", "official": null, "desc": "Local-first memory for AI agents: recall with sources, answer checks, documents, mesh, governance.", "repo": "https://github.com/qualixar/superlocalmemory", "install": ["pypi:superlocalmemory", "npm:superlocalmemory"], "stars": 275, "pushed": "2026-11-09T18:50:46Z", "license": "AGPL-3.0", "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.sachitrafa/cognitive-ai-memory", "name": "io.github.sachitrafa/cognitive-ai-memory", "kind": "mcp", "official": null, "desc": "Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.", "repo": "https://github.com/sachitrafa/cognitive-ai-memory", "install": ["oci:ghcr.io/your-memory/cognitive-ai-memory:1.0.2"], "stars": 272, "pushed": "2026-09-19T23:53:34Z", "license": "NOASSERTION", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.sachitrafa/yourmemory", "name": "YourMemory", "kind": "mcp", "official": null, "desc": "Persistent memory for AI agents. Memories decay with time and strengthen on recall.", "repo": "https://github.com/sachitrafa/YourMemory", "install": ["pypi:yourmemory"], "stars": 272, "pushed": "2026-09-19T23:53:34Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.l33tdawg/sage", "name": "io.github.l33tdawg/sage", "kind": "mcp", "official": null, "desc": "Persistent, consensus-validated institutional memory for AI agents. Runs locally.", "repo": "https://github.com/l33tdawg/sage", "install": ["oci:ghcr.io/l33tdawg/sage:11.25.8"], "stars": 265, "pushed": "2026-11-13T06:28:19Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ZipengWu365/tomc-memory", "name": "TOMC Memory", "kind": "mcp", "official": null, "desc": "CPU task-specific context preparation and explicitly saved local project notes through MCP.", "repo": "https://github.com/ZipengWu365/TOMC", "install": ["mcpb:https://github.com/ZipengWu365/TOMC/releases/download/v0.1.1-assistant-preview.1/tomc-memory-0.1.1.mcpb"], "stars": 264, "pushed": "2026-11-12T15:27:41Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:netboxlabs/netbox-mcp-server", "name": "netbox-mcp-server", "kind": "mcp", "official": null, "desc": "Model Context Protocol (MCP) server for read-only interaction with NetBox data in LLMs", "repo": "https://github.com/netboxlabs/netbox-mcp-server", "install": [], "stars": 256, "pushed": null, "license": null, "plat": "netbox", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:nailuoGG/anki-mcp-server", "name": "anki-mcp-server", "kind": "mcp", "official": null, "desc": "MCP server for Anki via AnkiConnect", "repo": "https://github.com/nailuoGG/anki-mcp-server", "install": [], "stars": 254, "pushed": null, "license": null, "plat": "anki", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:win4r/codebase-memory-mcp-pro", "name": "codebase-memory-mcp-pro", "kind": "mcp", "official": null, "desc": "Community fork of DeusData/codebase-memory-mcp (MIT) — incremental-reindex CALLS-edge fix + 9 integrated upstream PRs. Pure-C code knowledge-graph MCP server.", "repo": "https://github.com/win4r/codebase-memory-mcp-pro", "install": [], "stars": 254, "pushed": null, "license": null, "plat": "codebase", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:icesixgod/codex-trajectory", "name": "codex-trajectory", "kind": "mcp", "official": null, "desc": "Privacy-aware trajectory viewer for local Codex task logs", "repo": "https://github.com/icesixgod/codex-trajectory", "install": [], "stars": 253, "pushed": null, "license": null, "plat": "codex", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:M-China/mcd-mcp-server", "name": "mcd-mcp-server", "kind": "mcp", "official": null, "desc": "McDonald's China MCP Server Integration Guide", "repo": "https://github.com/M-China/mcd-mcp-server", "install": [], "stars": 253, "pushed": null, "license": null, "plat": "mcdonald's china", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:atom2ueki/mcp-server-synology", "name": "mcp-server-synology", "kind": "mcp", "official": null, "desc": "💾 Model Context Protocol (MCP) server for Synology NAS - Enables AI assistants (Claude, Cursor, Continue) to manage files, downloads, and system operations through secure API integration. Features Docker deployment, auto-authentication, and comprehensive file system tools.", "repo": "https://github.com/atom2ueki/mcp-server-synology", "install": [], "stars": 253, "pushed": null, "license": null, "plat": "synology nas", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:nhevers/MoltBrain", "name": "MoltBrain", "kind": "mcp", "official": null, "desc": "Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.", "repo": "https://github.com/nhevers/MoltBrain", "install": [], "stars": 253, "pushed": null, "license": null, "plat": "openclaw", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:themotionmachine/OmniFocus-MCP", "name": "OmniFocus-MCP", "kind": "mcp", "official": null, "desc": "Let LLMs interface with your tasks and projects through the Model Context Protocol. Add, organize, and query your OmniFocus database with natural language commands.", "repo": "https://github.com/themotionmachine/OmniFocus-MCP", "install": [], "stars": 253, "pushed": null, "license": null, "plat": "omnifocus", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:modelscope/MCPBench", "name": "MCPBench", "kind": "mcp", "official": null, "desc": "The evaluation benchmark on MCP servers", "repo": "https://github.com/modelscope/MCPBench", "install": [], "stars": 252, "pushed": null, "license": null, "plat": "mcp servers", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:initMAX/zabbix-mcp-server", "name": "zabbix-mcp-server", "kind": "mcp", "official": null, "desc": "MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, Claude, VS Code, Codex, JetBrains and any MCP client.", "repo": "https://github.com/initMAX/zabbix-mcp-server", "install": [], "stars": 251, "pushed": null, "license": null, "plat": "zabbix", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Eshaan-Nair/ArcRift", "name": "ArcRift", "kind": "mcp", "official": null, "desc": "Persistent local memory layer for AI. ArcRift uses a extension and a native MCP server to sync context and decisions from your browser chats (Claude, ChatGPT, DeepSeek) straight to your local IDE agents (Cursor, Claude Code, Windsurf)  powered by a local SQLite knowledge graph.", "repo": "https://github.com/Eshaan-Nair/ArcRift", "install": [], "stars": 249, "pushed": null, "license": null, "plat": "arcrift", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Yinglianchun/Serein", "name": "Serein", "kind": "mcp", "official": null, "desc": "雨落下的地方，记忆会再次开花。可自部署的 AI 长期记忆与聊天网关。Self-hosted AI memory & chat gateway for long-term conversations.", "repo": "https://github.com/Yinglianchun/Serein", "install": [], "stars": 246, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.nhadaututtheky/neural-memory", "name": "io.github.nhadaututtheky/neural-memory", "kind": "mcp", "official": null, "desc": "Persistent memory for AI agents — 55 MCP tools, spreading activation recall.", "repo": "https://github.com/nhadaututtheky/neural-memory", "install": ["npm:neural-memory-mcp"], "stars": 244, "pushed": "2026-10-23T02:39:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LearnPrompt/cc-harness-skills/skills/dream-memory", "name": "dream-memory", "kind": "skill", "official": false, "desc": "Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use.", "repo": "https://github.com/LearnPrompt/cc-harness-skills/tree/HEAD/skills/dream-memory", "install": ["npx skills add LearnPrompt/cc-harness-skills --skill dream-memory"], "stars": 240, "pushed": "2026-07-10T16:39:53Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:LearnPrompt/cc-harness-skills/skills/memory-extractor", "name": "memory-extractor", "kind": "skill", "official": false, "desc": "Extract durable memories from recent conversation turns into user, feedback, project, and reference categories while avoiding stale code-state facts.", "repo": "https://github.com/LearnPrompt/cc-harness-skills/tree/HEAD/skills/memory-extractor", "install": ["npx skills add LearnPrompt/cc-harness-skills --skill memory-extractor"], "stars": 240, "pushed": "2026-07-10T16:39:53Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:entireio/skills/skills/recall", "name": "recall", "kind": "skill", "official": false, "desc": "Use when the user describes a task and wants to know whether something similar has been done before, then turn the closest prior session into a task playbook. Triggers on phrases like \\\"have we done this before\\\", \\\"recall how we did X\\\", \\\"find similar work\\\", \\\"any precedent for\\\", \\\"has anyone solved\\\", \\\"is there a template for\\\", and \\\"how did we do this last time\\", "repo": "https://github.com/entireio/skills/tree/HEAD/skills/recall", "install": ["npx skills add entireio/skills --skill recall"], "stars": 240, "pushed": "2026-11-06T08:47:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:entireio/skills/skills/replay", "name": "replay", "kind": "skill", "official": false, "desc": "Use when the user wants to step through a feature's checkpoints chronologically, pausing at each step to ask questions. Triggers on phrases like \\\"replay <feature>\\\", \\\"walk me through how X was built\\\", \\\"show me the journey of\\\", \\\"step me through how Y was implemented\\\", and \\\"replay the last week\\", "repo": "https://github.com/entireio/skills/tree/HEAD/skills/replay", "install": ["npx skills add entireio/skills --skill replay"], "stars": 240, "pushed": "2026-11-06T08:47:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:entireio/skills/skills/session-handoff", "name": "session-handoff", "kind": "skill", "official": false, "desc": "Use when the user wants to continue work from one agent in another agent, inspect recent sessions, or summarize a saved session or checkpoint for handoff", "repo": "https://github.com/entireio/skills/tree/HEAD/skills/session-handoff", "install": ["npx skills add entireio/skills --skill session-handoff"], "stars": 240, "pushed": "2026-11-06T08:47:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Glen-Web-App/best-agent-memory-mcp", "name": "best-agent-memory-mcp", "kind": "mcp", "official": null, "desc": "Best Agent Memory MCP servers, ranked and compared: long-term memory for Claude Code, Codex, Cursor and any MCP client. Glen, Mem0, Supermemory, Zep, Hindsight, Basic Memory, claude-mem, Graphiti, Cognee, the official memory server and more, with storage, capture model, team sharing, license and liv", "repo": "https://github.com/Glen-Web-App/best-agent-memory-mcp", "install": [], "stars": 239, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:oliver-zehentleitner/keep-the-why/skills/keep-the-why", "name": "keep-the-why", "kind": "skill", "official": false, "desc": "In a project with a .keep-the-why, or when asked about Keep the Why or to set it up - extract and preserve the reasoning code cannot explain - decisions, rejected alternatives, workarounds, incidents, constraints - plus project setup and maintainer interviews. Not for what changed (see Keep a Changelog) - only why. Also the place for questions about how this skill works, complaints, feedback and settings changes about it. Anywhere else - no .keep-the-why, no such request - this skill is neither ", "repo": "https://github.com/oliver-zehentleitner/keep-the-why/tree/HEAD/skills/keep-the-why", "install": ["npx skills add oliver-zehentleitner/keep-the-why --skill keep-the-why"], "stars": 238, "pushed": "2026-11-13T05:55:00Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:savantskie/persistent-ai-memory", "name": "persistent-ai-memory", "kind": "mcp", "official": null, "desc": "A persistent local memory for AI, LLMs, or Copilot in VS Code.", "repo": "https://github.com/savantskie/persistent-ai-memory", "install": [], "stars": 237, "pushed": null, "license": null, "plat": "vs code", "live": "Not checked (runs locally)"}, {"id": "skill:Avijit07x/claude-db/skills/catchup", "name": "catchup", "kind": "skill", "official": false, "desc": "Answer \"where did I stop?\" for this project. Gives three short groups, done, open and next, taken from the last chat, the recorded to-dos, the last handoff note and git. Use when the user comes back to a project, starts a new chat, or asks where they left off. It writes nothing.", "repo": "https://github.com/Avijit07x/claude-db/tree/HEAD/skills/catchup", "install": ["npx skills add Avijit07x/claude-db --skill catchup"], "stars": 235, "pushed": "2026-11-06T12:01:13Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Avijit07x/claude-db/skills/cdb-scan", "name": "cdb-scan", "kind": "skill", "official": false, "desc": "Map this codebase into project memory — a code graph of every symbol and how they connect, plus a written profile of stack, layout, conventions and workflows. Re-run any time to refresh both in place. Use when memory is newly installed on an existing project, or when the project has changed enough that the stored map is stale.", "repo": "https://github.com/Avijit07x/claude-db/tree/HEAD/skills/cdb-scan", "install": ["npx skills add Avijit07x/claude-db --skill cdb-scan"], "stars": 235, "pushed": "2026-11-06T12:01:13Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Avijit07x/claude-db/skills/handoff", "name": "handoff", "kind": "skill", "official": false, "desc": "Write a short handoff note for the next chat or a teammate, with what is done, what is open, what comes next and what was rejected and why. Saves it to project memory so the next chat sees it at the start, and prints it so it can be pasted into a message or a pull request. Use when the user ends a piece of work, switches tasks, or hands the project to someone.", "repo": "https://github.com/Avijit07x/claude-db/tree/HEAD/skills/handoff", "install": ["npx skills add Avijit07x/claude-db --skill handoff"], "stars": 235, "pushed": "2026-11-06T12:01:13Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.lobu-ai/lobu", "name": "Lobu", "kind": "mcp", "official": null, "desc": "Shared, permission-aware company context for AI agents, with provenance, approvals and audit.", "repo": "https://github.com/lobu-ai/lobu", "install": ["https://lobu.ai/mcp"], "stars": 234, "pushed": "2026-11-13T04:58:01Z", "license": "Apache-2.0", "plat": "company context", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:gh:joshuaswarren/remnic", "name": "remnic", "kind": "mcp", "official": null, "desc": "Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.", "repo": "https://github.com/joshuaswarren/remnic", "install": [], "stars": 233, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ramakay/claude-self-reflect", "name": "claude-self-reflect", "kind": "mcp", "official": null, "desc": "Claude forgets everything. This fixes that. 🔗 www.npmjs.com/package/claude-self-reflect", "repo": "https://github.com/ramakay/claude-self-reflect", "install": [], "stars": 230, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:JimLiu/science-skills/skills/self-awareness", "name": "self-awareness", "kind": "skill", "official": false, "desc": "Claude Science's own session database schema and SDK surface for introspection via host.query(). Load this when you need to query your own conversation history, token usage, cost accounting, execution log, or artifact metadata beyond what host.frames()/host.artifacts() provide — e.g. \"how many tokens has this session used\", \"what was my last tool call\", \"list every file I've written\", \"where are messages stored\", \"what tables can I query\", \"inspect frames.context_data\", or any time you're about ", "repo": "https://github.com/JimLiu/science-skills/tree/HEAD/skills/self-awareness", "install": ["npx skills add JimLiu/science-skills --skill self-awareness"], "stars": 229, "pushed": "2026-10-29T07:23:51Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:tamdogood/builder-essential-skills/skills/session-profiler", "name": "session-profiler", "kind": "skill", "official": false, "desc": "Profile and debug Hermes sessions from their JSONL transcripts. Find a session and its subagents, build a queryable event table, summarize the work as a hierarchical table of contents, break down wall time, inference, tools, tokens, and estimated cost per agent, identify errors and improvement opportunities, and export a shareable Perfetto trace. Use when a user wants to inspect what a Hermes session did, debug agent or subagent activity, understand session cost or latency, create a session time", "repo": "https://github.com/tamdogood/builder-essential-skills/tree/HEAD/skills/session-profiler", "install": ["npx skills add tamdogood/builder-essential-skills --skill session-profiler"], "stars": 228, "pushed": "2026-08-16T16:30:17Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.omega-memory/core", "name": "io.github.omega-memory/core", "kind": "mcp", "official": null, "desc": "Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.", "repo": "https://github.com/omega-memory/core", "install": ["pypi:omega-memory"], "stars": 225, "pushed": "2026-10-09T16:23:33Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:kangarooking/system-prompt-skills/memory-system", "name": "memory-system", "kind": "skill", "official": false, "desc": "当需要为 AI 设计记忆存储、检索、应用和更新机制时调用此 skill。典型场景包括：设计持久化记忆架构（用户偏好、历史上下文、项目知识）、定义记忆的创建/读取/更新/删除生命周期、实现静默记忆应用（不在回复中透露记忆内容）、管理敏感记忆边界。 不适用于：定义工具接口（tool-specification）、定义安全规则（safety-guardrails）、定义人格风格（personality-system）。 关键 trigger 信号：AI 需要跨会话记住用户信息、记忆内容可能敏感、需要在回复中隐式应用记忆而非显式引用、用户要求\"记住这个\"。", "repo": "https://github.com/kangarooking/system-prompt-skills/tree/HEAD/memory-system", "install": ["npx skills add kangarooking/system-prompt-skills --skill memory-system"], "stars": 224, "pushed": "2026-05-04T05:20:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:fellowgeek/mcp-memory", "name": "mcp-memory", "kind": "mcp", "official": null, "desc": "An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents.", "repo": "https://github.com/fellowgeek/mcp-memory", "install": [], "stars": 223, "pushed": null, "license": null, "plat": "sqlite", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.modusensus/mneme-memory", "name": "Mneme Memory", "kind": "mcp", "official": null, "desc": "Cross-session memory for AI coding agents via six tools; local-first SQLite store.", "repo": "https://github.com/slow-stack/mneme", "install": ["npm:mneme-memory"], "stars": 223, "pushed": "2026-11-13T05:54:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.gowtham0992/link", "name": "io.github.gowtham0992/link", "kind": "mcp", "official": null, "desc": "Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.", "repo": "https://github.com/gowtham0992/link", "install": ["pypi:link-mcp"], "stars": 218, "pushed": "2026-10-30T05:31:13Z", "license": "MIT", "plat": "local personal memory", "live": "Not checked (runs locally)"}, {"id": "skill:pivoshenko/kasetto/skills/kst-ai-assets-usage", "name": "kst-ai-assets-usage", "kind": "skill", "official": false, "desc": "Report which kasetto-installed skills and MCP servers are actually being used across the AI agents on this machine, and render a branded HTML dashboard of the result. Use whenever the user asks what agent assets they actually use, which skills or MCPs are dead weight, what to prune or clean up from kasetto.yaml, why their context is bloated with unused MCP servers, whether a skill has ever been invoked, or wants a usage report, audit, or dashboard of their agent setup. Also trigger on \"kst ai as", "repo": "https://github.com/pivoshenko/kasetto/tree/HEAD/skills/kst-ai-assets-usage", "install": ["npx skills add pivoshenko/kasetto --skill kst-ai-assets-usage"], "stars": 217, "pushed": "2026-11-12T22:18:09Z", "license": "NOASSERTION", "plat": "kasetto", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:yoloshii/ClawMem", "name": "ClawMem", "kind": "mcp", "official": null, "desc": "On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.", "repo": "https://github.com/yoloshii/ClawMem", "install": [], "stars": 212, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "plugin:anthropics/claude-plugins-official:remember", "name": "remember", "kind": "claude-plugin", "official": null, "desc": "Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.", "repo": "https://github.com/Digital-Process-Tools/claude-remember.git", "install": ["claude plugin install remember@claude-plugins-official"], "stars": 211, "pushed": "2026-11-13T11:04:39Z", "license": "NOASSERTION", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:lemonadesaltbagel/veil", "name": "veil", "kind": "mcp", "official": null, "desc": "Local privacy proxy for AI coding agents. Keep PII and secrets out of LLMs with deterministic pseudonymization.", "repo": "https://github.com/lemonadesaltbagel/veil", "install": [], "stars": 209, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:WithWoz/wozcode-plugin/skills/woz-recall", "name": "woz-recall", "kind": "skill", "official": false, "desc": "Search past Claude Code sessions to recall commands, solutions, and context from prior conversations. TRIGGER on 'remember when', 'last time', 'we did this before', 'how did we', or /woz-recall.", "repo": "https://github.com/WithWoz/wozcode-plugin/tree/HEAD/skills/woz-recall", "install": ["npx skills add WithWoz/wozcode-plugin --skill woz-recall"], "stars": 209, "pushed": "2026-11-05T18:48:04Z", "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.alibaizhanov/mengram", "name": "io.github.alibaizhanov/mengram", "kind": "mcp", "official": null, "desc": "Long-term memory for AI agents: semantic facts, episodic events, and procedural workflows", "repo": "https://github.com/alibaizhanov/mengram", "install": ["https://mengram.io/mcp"], "stars": 207, "pushed": "2026-11-09T13:52:49Z", "license": "Apache-2.0", "plat": "", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:gh:ssut/Remote-MCP", "name": "Remote-MCP", "kind": "mcp", "official": null, "desc": "A type-safe solution to remote MCP communication, enabling effortless integration for centralized management of Model Context.", "repo": "https://github.com/ssut/Remote-MCP", "install": [], "stars": 207, "pushed": null, "license": null, "plat": "model context", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:posit-dev/mcptools", "name": "mcptools", "kind": "mcp", "official": null, "desc": "Model Context Protocol For R", "repo": "https://github.com/posit-dev/mcptools", "install": [], "stars": 206, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:GabrielMartinMoran/mind", "name": "mind", "kind": "mcp", "official": null, "desc": "Persistent local memory for AI coding agents. Preserve decisions and project context across sessions, compaction, and tools.", "repo": "https://github.com/GabrielMartinMoran/mind", "install": [], "stars": 206, "pushed": null, "license": null, "plat": "ai coding agents", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:snchimata/tokenfold", "name": "tokenfold", "kind": "mcp", "official": null, "desc": "Private, provider-neutral context compression for LLMs. Reversibly compress schemas and logs inside your perimeter with zero third-party calls.", "repo": "https://github.com/snchimata/tokenfold", "install": [], "stars": 205, "pushed": null, "license": null, "plat": "llms", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:SodaMem/SodaMem", "name": "SodaMem", "kind": "mcp", "official": null, "desc": "Agentic memory infra for AI agents", "repo": "https://github.com/SodaMem/SodaMem", "install": [], "stars": 203, "pushed": null, "license": null, "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "skill:mblode/agent-skills/skills/chat-history", "name": "chat-history", "kind": "skill", "official": false, "desc": "Recovers decisions, previous fixes, research, and what followed a prompt from past AI conversations, with source evidence. Use when asked to \"search past chats\", \"we fixed this before\", \"what followed this prompt\", or \"why did the plan change\". Reads local Claude Code, Codex, Grok, and Cursor history plus explicit ChatGPT or Claude exports.", "repo": "https://github.com/mblode/agent-skills/tree/HEAD/skills/chat-history", "install": ["npx skills add mblode/agent-skills --skill chat-history"], "stars": 201, "pushed": "2026-11-10T23:39:08Z", "license": "MIT", "plat": "chat history", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:edwin-hao-ai/Awareness-Local", "name": "Awareness-Local", "kind": "mcp", "official": null, "desc": "Local-first AI agent memory — one command, works offline, no account needed. Give your Claude Code, Cursor, Windsurf, OpenClaw agent persistent memory. Markdown storage, hybrid search (FTS5 + embedding), MCP protocol, Web dashboard.", "repo": "https://github.com/edwin-hao-ai/Awareness-Local", "install": [], "stars": 199, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ravitemer/codecompanion-history.nvim", "name": "codecompanion-history.nvim", "kind": "mcp", "official": null, "desc": "A history management extension for codecompanion AI chat plugin that enables saving, browsing and restoring chat sessions.", "repo": "https://github.com/ravitemer/codecompanion-history.nvim", "install": [], "stars": 195, "pushed": null, "license": null, "plat": "codecompanion", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:memovai/memov", "name": "memov", "kind": "mcp", "official": null, "desc": "Give git-like & traceable memory to OpenClaw and any coding agents. By https://memov.ai/ aka Entire CLI for every coding agents by MCP. Self-evolution for skills.", "repo": "https://github.com/memovai/memov", "install": [], "stars": 194, "pushed": null, "license": null, "plat": "openclaw", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Windsander/Mebular", "name": "Mebular", "kind": "mcp", "official": null, "desc": "🌌 Mebular 忆云 · 智能体共享记忆与任务协作 | One shared memory and task graph for all your AI agents and devices: automatic or on-demand, secure, controllable, and decentralized!", "repo": "https://github.com/Windsander/Mebular", "install": [], "stars": 193, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Intina47/context-sync", "name": "io.github.Intina47/context-sync", "kind": "mcp", "official": null, "desc": "Universal AI Memory - Sync context across Claude, VsCode, Cursor, Continue, Windsurf, Zed & more", "repo": "https://github.com/Intina47/context-sync", "install": ["npm:@context-sync/server"], "stars": 190, "pushed": "2026-04-11T12:48:15Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:willynikes2/knowledge-base-server", "name": "knowledge-base-server", "kind": "mcp", "official": null, "desc": "Make every AI agent you use smarter. Persistent memory with SQLite FTS5, MCP server, Obsidian sync, and self-learning intelligence pipeline.", "repo": "https://github.com/willynikes2/knowledge-base-server", "install": [], "stars": 190, "pushed": null, "license": null, "plat": "sqlite", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Trapezohe/Anamnesis", "name": "Anamnesis", "kind": "mcp", "official": null, "desc": "Local-first memory layer for AI agents: import, index and serve agent memory across runtimes. Part of Ghast AI, private expertise callable by agents.", "repo": "https://github.com/Trapezohe/Anamnesis", "install": [], "stars": 188, "pushed": null, "license": null, "plat": "ghast ai", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:EternalNight996/memory-eternal", "name": "memory-eternal", "kind": "mcp", "official": null, "desc": "🧠 给 AI 一个可信的第二大脑：本地 SQLite · 先审核再入库 · 不可篡改审计 · 记忆账本。🕷 蜘蛛侠皮肤 · 🔍 自建集 R@5 99.1% / LongMemEval-S 97.2% · 🧩 一个库接入 DSH / Claude Code / Codex / Cursor / 任意 MCP · ⭐ MIT 开源 · 🚀 零依赖开箱即用", "repo": "https://github.com/EternalNight996/memory-eternal", "install": [], "stars": 184, "pushed": null, "license": null, "plat": "sqlite", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Coding-Dev-Tools/engraphis", "name": "engraphis", "kind": "mcp", "official": null, "desc": "Local-first, inspectable memory for coding agents: durable context across sessions and repositories, code-aware recall, bi-temporal history, MCP, and a self-hosted WebUI.", "repo": "https://github.com/Coding-Dev-Tools/engraphis", "install": [], "stars": 183, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.shashankswe2020-ux/whoop", "name": "io.github.shashankswe2020-ux/whoop", "kind": "mcp", "official": null, "desc": "MCP server for WHOOP health data — recovery, sleep, workouts, cycles, and trends.", "repo": "https://github.com/shashankswe2020-ux/whoop-mcp", "install": ["npm:whoop-ai-mcp"], "stars": 181, "pushed": "2026-11-10T15:46:21Z", "license": "MIT", "plat": "whoop", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:bgts-ai-org/bgts-context-engine", "name": "bgts-context-engine", "kind": "mcp", "official": null, "desc": "Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.", "repo": "https://github.com/bgts-ai-org/bgts-context-engine", "install": [], "stars": 180, "pushed": null, "license": null, "plat": "rust", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:AnCode666/multiCAD-mcp", "name": "multiCAD-mcp", "kind": "mcp", "official": null, "desc": "MCP server for use CAD software through AI assistants like Claude for Desktop or Cursor ", "repo": "https://github.com/AnCode666/multiCAD-mcp", "install": [], "stars": 180, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:joseairosa/recall", "name": "recall", "kind": "mcp", "official": null, "desc": "Persistent cross-session memory for Claude & AI agents. Self-host on Redis/Valkey, or use the managed SaaS at recallmcp.com.", "repo": "https://github.com/joseairosa/recall", "install": [], "stars": 179, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:Dsadd4/AgentFigureGallery/skills/agent-figure-gallery", "name": "agent-figure-gallery", "kind": "skill", "official": false, "desc": "Query visual scientific figure references, show candidates for human preference selection, export selected reference bundles, and guide plotting agents from human-selected visual examples to code action.", "repo": "https://github.com/Dsadd4/AgentFigureGallery/tree/HEAD/skills/agent-figure-gallery", "install": ["npx skills add Dsadd4/AgentFigureGallery --skill agent-figure-gallery"], "stars": 178, "pushed": "2026-09-05T02:17:16Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Sibyl-Labs/Sibyl-Memory", "name": "Sibyl-Memory", "kind": "mcp", "official": null, "desc": "Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.", "repo": "https://github.com/Sibyl-Labs/Sibyl-Memory", "install": [], "stars": 177, "pushed": null, "license": null, "plat": "sibyl-memory", "live": "Not checked (runs locally)"}, {"id": "skill:redis/agent-skills/plugins/redis-development/skills/add-agent-memory", "name": "add-agent-memory", "kind": "skill", "official": false, "desc": "Wire Redis Agent Memory into an existing agent with redis-iris so it remembers users across sessions. Asks five questions (what to remember, what to share, what never to keep, how long to keep it, whether users can be forgotten), writes the answers to service.yaml, provisions the service from the terminal with `iris agent-memory service create`, then wires recall and write-back into the agent's turn in any framework. Use when the agent forgets users, uses InMemoryStore or a checkpointer only, ke", "repo": "https://github.com/redis/agent-skills/tree/HEAD/plugins/redis-development/skills/add-agent-memory", "install": ["npx skills add redis/agent-skills --skill add-agent-memory"], "stars": 175, "pushed": "2026-11-05T15:01:14Z", "license": "MIT", "plat": "redis", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:devwhodevs/engraph", "name": "engraph", "kind": "mcp", "official": null, "desc": "Local knowledge graph for AI agents. Hybrid search + MCP server for Obsidian vaults.", "repo": "https://github.com/devwhodevs/engraph", "install": [], "stars": 175, "pushed": null, "license": null, "plat": "engraph", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:pi22by7/In-Memoria", "name": "In-Memoria", "kind": "mcp", "official": null, "desc": "Persistent Intelligence Infrastructure for AI Agents", "repo": "https://github.com/pi22by7/In-Memoria", "install": [], "stars": 175, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ourmem/omem", "name": "omem", "kind": "mcp", "official": null, "desc": "Shared Memory That Never Forgets — persistent memory for AI agents with Space-based sharing across agents and teams. Plugins for OpenCode, Claude Code, OpenClaw, MCP Server.", "repo": "https://github.com/ourmem/omem", "install": [], "stars": 174, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Puliczek/mcp-memory", "name": "mcp-memory", "kind": "mcp", "official": null, "desc": "🔥🖥️ MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to remember information about users (preferences, behaviors) across conversations.", "repo": "https://github.com/Puliczek/mcp-memory", "install": [], "stars": 170, "pushed": null, "license": null, "plat": "cursor, claude, windsurf", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Zafer-Liu/Vibe_Assistant", "name": "Vibe_Assistant", "kind": "mcp", "official": null, "desc": "Cross-platform desktop workspace for AI agent memory, Skills and MCP. 跨平台桌面应用：统一管理 AI 智能体的记忆、Skill 与 MCP。", "repo": "https://github.com/Zafer-Liu/Vibe_Assistant", "install": [], "stars": 169, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.dnotitia/akb", "name": "io.github.dnotitia/akb", "kind": "mcp", "official": null, "desc": "Git-backed org memory for AI agents — hybrid search, tables, files & a URI graph over MCP.", "repo": "https://github.com/dnotitia/akb", "install": ["npm:akb-mcp"], "stars": 168, "pushed": "2026-11-13T09:50:39Z", "license": "NOASSERTION", "plat": "github", "live": "Not checked (runs locally)"}, {"id": "skill:langchain-ai/langsmith-skills/config/skills/langsmith-trace", "name": "langsmith-trace", "kind": "skill", "official": false, "desc": "INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool.", "repo": "https://github.com/langchain-ai/langsmith-skills/tree/HEAD/config/skills/langsmith-trace", "install": ["npx skills add langchain-ai/langsmith-skills --skill langsmith-trace"], "stars": 166, "pushed": "2026-11-14T01:59:09Z", "license": "MIT", "plat": "langsmith", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:apisec-inc/mcp-audit", "name": "mcp-audit", "kind": "mcp", "official": null, "desc": "See what your AI agents can access. Scan MCP configs for exposed secrets, shadow APIs, and AI models. Generate AI-BOMs for compliance.", "repo": "https://github.com/apisec-inc/mcp-audit", "install": [], "stars": 166, "pushed": null, "license": null, "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Patdolitse/piia-engram", "name": "Piia Engram", "kind": "mcp", "official": null, "desc": "Local-first AI identity for MCP coding tools. Lessons, decisions, and context you control.", "repo": "https://github.com/Patdolitse/piia-engram", "install": ["pypi:piia-engram"], "stars": 165, "pushed": "2026-11-13T04:01:45Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Riley-Coyote/mnemos-mcp", "name": "mnemos-mcp", "kind": "mcp", "official": null, "desc": "Continuity for the agent itself. An MCP server that gives an AI agent a memory of its own, written in its own words and kept on your machine, so it wakes as itself every session.", "repo": "https://github.com/Riley-Coyote/mnemos-mcp", "install": [], "stars": 164, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:R44VC0RP/skills/skills/opencode-memory", "name": "opencode-memory", "kind": "skill", "official": false, "desc": "Give an OpenCode setup long-term memory and a learning loop, following Anthropic's context-engineering practice. Puts the global config under git, slims the always-loaded AGENTS.md into on-demand skills, adds a markdown memory folder with an append-only inbox, and schedules a nightly \"dreaming\" job that reviews past sessions, updates memory and proposes rule changes for approval. Use this whenever someone wants their agent to remember things across sessions, stop repeating the same mistakes, lea", "repo": "https://github.com/R44VC0RP/skills/tree/HEAD/skills/opencode-memory", "install": ["npx skills add R44VC0RP/skills --skill opencode-memory"], "stars": 162, "pushed": "2026-11-01T22:51:17Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ZIZKA-AI-SL/zizkadb-mcp", "name": "ZizkaDB", "kind": "mcp", "official": null, "desc": "Causal memory and tamper-evident audit log for AI agents: log, why, search, time travel.", "repo": "https://github.com/ZIZKA-AI-SL/ZizkaDB", "install": ["pypi:zizkadb-mcp"], "stars": 162, "pushed": "2026-11-12T15:39:46Z", "license": "AGPL-3.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:GuyMannDude/mnemo-cortex", "name": "mnemo-cortex", "kind": "mcp", "official": null, "desc": "Open-source cognitive coprocessor with active memory for AI agents — persistent recall, semantic search, overnight dreaming, verified facts, encrypted USB sync. MCP server; works with Claude, ChatGPT, and any local LLM. Built by one maker and his agents.", "repo": "https://github.com/GuyMannDude/mnemo-cortex", "install": [], "stars": 160, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mordang7/ContextKeep", "name": "ContextKeep", "kind": "mcp", "official": null, "desc": "Infinite Long-Term Memory for AI Agents (MCP Server)", "repo": "https://github.com/mordang7/ContextKeep", "install": [], "stars": 159, "pushed": null, "license": null, "plat": "mcp server", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.28naem-del/mnemosyne", "name": "Mnemosyne", "kind": "mcp", "official": null, "desc": "Evidence-tracked local memory MCP server: one SQLite file; corrections retire dependent memories.", "repo": "https://github.com/28naem-del/mnemosyne", "install": ["npm:mnemosy-ai"], "stars": 159, "pushed": "2026-11-10T20:57:31Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:SparkofSpike/Brain4Agent", "name": "Brain4Agent", "kind": "mcp", "official": null, "desc": "Committed to building the world’s most cutting-edge, CJK-first memory module for all mainstream agents. Any issues and PRs are welcome.", "repo": "https://github.com/SparkofSpike/Brain4Agent", "install": [], "stars": 158, "pushed": "2026-11-13T04:27:09Z", "license": "Apache-2.0", "plat": "agents", "live": "Not checked (runs locally)"}, {"id": "skill:SparkofSpike/Brain4Agent/integrations/skills/brain4agent", "name": "brain4agent", "kind": "skill", "official": false, "desc": "存取 agent 的长期工作记忆——项目上下文、决策、踩过的坑。用户问「之前/上次/记得/为什么这么定」类问题，或要求记住某个结论时使用。中文优先、零模型、单文件 SQLite。不用于通用知识问答，不联网检索。", "repo": "https://github.com/SparkofSpike/Brain4Agent/tree/HEAD/integrations/skills/brain4agent", "install": ["npx skills add SparkofSpike/Brain4Agent --skill brain4agent"], "stars": 158, "pushed": "2026-11-13T04:27:09Z", "license": "Apache-2.0", "plat": "brain4agent", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/doc-drift", "name": "doc-drift", "kind": "skill", "official": false, "desc": "Use this skill when the user wants to audit the memory and documents Claude Code loads into context — CLAUDE.md (user global + project + nested), MEMORY.md, @imports, .claude/skills, .claude/agents, .claude/commands, installed plugins — and detect four kinds of issues: outdated claims, mutually contradictory statements, risky-or-ambiguous wording, and session-only context leaked into skills/agents/commands docs. Produces a prioritized improvement list at `.drift-reports/`. Zero config. Trigger p", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/doc-drift", "install": ["npx skills add AlexZio00/sovereign-skills --skill doc-drift"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/full-audit", "name": "full-audit", "kind": "skill", "official": false, "desc": "Exhaustive, denominator-driven audit of an entire area (codebase, docs, memory, skills, DB, config). Runs a 6-phase pipeline: scope agreement + prior-map diff -> deterministic sweep (counts/versions/paths/parsing plus cross-index reconciliation) -> parallel read-only content review (citations forced, rule dry-run) -> judgment (false-positive/UNCERTAIN triage) -> fix-vs-addition split, gated by execution mode (AUDIT_ONLY default = read-only, PROPOSE = list only, APPLY_APPROVED = apply approved it", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/full-audit", "install": ["npx skills add AlexZio00/sovereign-skills --skill full-audit"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.raullenchai/vnsh", "name": "io.github.raullenchai/vnsh", "kind": "mcp", "official": null, "desc": "Portable workspaces for AI agents: one encrypted link any agent can read and write", "repo": "https://github.com/raullenchai/vnsh", "install": ["npm:vnsh-mcp"], "stars": 158, "pushed": "2026-09-06T14:38:01Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/project-check", "name": "project-check", "kind": "skill", "official": false, "desc": "Existing project health scan — audits Infrastructure, Security, Quality, and Harness setup. Read-only. Use when: '/project-check', 'project health check', 'project audit', 'what\\\\'s missing', 'analyze my project', 'check setup'. Ends with /project-init and /setup recommendations. NOT for new projects (use /project-init); project-check = shallow health scan.", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/project-check", "install": ["npx skills add AlexZio00/sovereign-skills --skill project-check"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/project-init", "name": "project-init", "kind": "skill", "official": false, "desc": "Interview-based project setup — generates CLAUDE.md, ROADMAP, .gitignore, .env.example from scratch. Use when: user says '/project-init', 'new project', 'project creation', 'project setup', 'create project'. NOT for AI agent/harness configuration (use setup for that). Conversational, one question at a time.", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/project-init", "install": ["npx skills add AlexZio00/sovereign-skills --skill project-init"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/project-overview", "name": "project-overview", "kind": "skill", "official": false, "desc": "Use when the user wants a deterministic cross-project status map generated from registered projects' session handoffs. Triggers: '/project-overview', 'project map', 'overall status'. Reads ~/.claude/projects-registry.md (opt-in list), parses each project's memory/session-handoff-LATEST.md state-snapshot v1 block (ts+ctx only), and rewrites the AUTO:START/AUTO:END region of ~/.claude/OVERVIEW.md. Does not touch STATE.md. Does not scan directories automatically.", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/project-overview", "install": ["npx skills add AlexZio00/sovereign-skills --skill project-overview"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/session-checkpoint", "name": "session-checkpoint", "kind": "skill", "official": false, "desc": "Use when saving session state before context compaction, switching tasks, or ending a session. Runs 5 phases: context extraction → handoff write → memory save → preservation check → compact guidance (plus an optional attestation step).", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/session-checkpoint", "install": ["npx skills add AlexZio00/sovereign-skills --skill session-checkpoint"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/session-start", "name": "session-start", "kind": "skill", "official": false, "desc": "Load handoff on session start, review lessons, output readiness signal. Triggers: '/session-start', 'start session'. Skip if: user requests 'start fresh' or a standalone question unrelated to project context. A missing handoff (first session) skips only the handoff step.", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/session-start", "install": ["npx skills add AlexZio00/sovereign-skills --skill session-start"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/skill-ops", "name": "skill-ops", "kind": "skill", "official": false, "desc": "Skill ops hub with 4 modes: snapshot/rollback, usage health, invocation frequency, and an operational quality score.", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/skill-ops", "install": ["npx skills add AlexZio00/sovereign-skills --skill skill-ops"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:AlexZio00/sovereign-skills/ssot-audit", "name": "ssot-audit", "kind": "skill", "official": false, "desc": "Find where one fact, value or decision is duplicated or contradicted across files, name the single source of truth (read-only), then consolidate the copies after user approval.", "repo": "https://github.com/AlexZio00/sovereign-skills/tree/HEAD/ssot-audit", "install": ["npx skills add AlexZio00/sovereign-skills --skill ssot-audit"], "stars": 158, "pushed": "2026-11-07T04:21:53Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.byenzyme/enzyme", "name": "Enzyme", "kind": "mcp", "official": null, "desc": "Semantic search and pattern discovery for Obsidian and markdown vaults.", "repo": "https://github.com/byenzyme/enzyme", "install": ["mcpb:https://github.com/byenzyme/enzyme/releases/download/v0.13.4/enzyme-mcp-0.13.4-macos-arm64.mcpb", "mcpb:https://github.com/byenzyme/enzyme/releases/download/v0.13.4/enzyme-mcp-0.13.4-macos-x86_64.mcpb", "mcpb:https://github.com/byenzyme/enzyme/releases/download/v0.13.4/enzyme-mcp-0.13.4-linux-x86_64.mcpb", "mcpb:https://github.com/byenzyme/enzyme/releases/download/v0.13.4/enzyme-mcp-0.13.4-linux-arm64.mcpb"], "stars": 157, "pushed": "2026-11-11T19:45:45Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.dcostenco/prism-coder", "name": "io.github.dcostenco/prism-coder", "kind": "mcp", "official": null, "desc": "Session memory for coding agents: local-first recall, drift detection, on-device inference.", "repo": "https://github.com/dcostenco/prism-coder", "install": ["npm:prism-mcp-server"], "stars": 156, "pushed": "2026-11-08T01:20:54Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.sheawinkler/contextlattice", "name": "ContextLattice", "kind": "mcp", "official": null, "desc": "Private-by-default, local-first memory/context/task orchestrator for MCP apps and agents.", "repo": "https://github.com/sheawinkler/ContextLattice", "install": ["https://contextlattice.io/mcp"], "stars": 155, "pushed": "2026-11-13T09:09:04Z", "license": "Apache-2.0", "plat": "", "live": "Down · HTTP 405 (checked 2026-11-13)"}, {"id": "mcp:gh:aieducations/edumcp", "name": "edumcp", "kind": "mcp", "official": null, "desc": "EDUMCP is a protocol that integrates the Model Context Protocol (MCP) with applications in the education field, dedicated to achieving seamless interconnection and interoperability among different AI models, educational applications, smart hardware, and teaching AGENTs.", "repo": "https://github.com/aieducations/edumcp", "install": [], "stars": 155, "pushed": null, "license": null, "plat": "education", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mtwn105/decipher-research-agent", "name": "decipher-research-agent", "kind": "mcp", "official": null, "desc": "Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.", "repo": "https://github.com/mtwn105/decipher-research-agent", "install": [], "stars": 153, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Frappucc1no/recall-loom/skills/recallloom", "name": "recallloom", "kind": "skill", "official": false, "desc": "Use when a task involves continuing a project, restoring project context, maintaining file-based project memory, updating current-state summaries, or recording meaningful progress across sessions. Works best for long-horizon, file-based projects and supports research writing, product document collaboration, software project coordination, and broader cross-functional project continuity.", "repo": "https://github.com/Frappucc1no/recall-loom/tree/HEAD/skills/recallloom", "install": ["npx skills add Frappucc1no/recall-loom --skill recallloom"], "stars": 153, "pushed": "2026-08-06T12:07:34Z", "license": "Apache-2.0", "plat": "recallloom", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:egroup-labs/kept", "name": "kept", "kind": "mcp", "official": null, "desc": "Search, archive, and recall your AI conversations. ChatGPT, Claude, Gemini, Grok, Kimi. Local-first, MIT licensed.", "repo": "https://github.com/egroup-labs/kept", "install": [], "stars": 152, "pushed": null, "license": null, "plat": "chatgpt, claude, gemini, grok, kimi", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Aelios-project/Aelios", "name": "Aelios", "kind": "mcp", "official": null, "desc": "Long-term memory for your AI companion, on your own Cloudflare account. Captures instantly, extracts every 4 hours, consolidates nightly, with six memory layers and a visual curation panel. QQ group: 1091783659", "repo": "https://github.com/Aelios-project/Aelios", "install": [], "stars": 148, "pushed": null, "license": null, "plat": "cloudflare", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Avinash-jetwani/jevmem", "name": "jevmem", "kind": "mcp", "official": null, "desc": "Shared project rules and memory for AI coding agents: a JEVMEM.md in git, with a command guard.", "repo": "https://github.com/Avinash-jetwani/jevmem", "install": ["npm:jevmem"], "stars": 148, "pushed": "2026-11-12T11:05:46Z", "license": "MIT", "plat": "github", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Alegau03/CTX", "name": "CTX", "kind": "mcp", "official": null, "desc": "CTX - Context Runtime Engine for Coding Agents", "repo": "https://github.com/Alegau03/CTX", "install": [], "stars": 146, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Supercompress/supercompress", "name": "SuperCompress", "kind": "mcp", "official": null, "desc": "Compress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.", "repo": "https://github.com/Supercompress/Supercompress", "install": ["npm:supercompress-proxy", "https://api.supercompress.dev/api/mcp"], "stars": 146, "pushed": "2026-11-12T14:20:27Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:wuisabel-gif/MemWhale", "name": "MemWhale", "kind": "mcp", "official": null, "desc": "Persistent, local memory for developers and their coding agents. Records commands, output, errors, and the fixes that worked into SQLite and serves them over MCP.", "repo": "https://github.com/wuisabel-gif/MemWhale", "install": [], "stars": 145, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.iamtouchskyer/memex", "name": "io.github.iamtouchskyer/memex", "kind": "mcp", "official": null, "desc": "Zettelkasten-based agent memory system with bidirectional links", "repo": "https://github.com/iamtouchskyer/memex", "install": ["npm:@touchskyer/memex"], "stars": 144, "pushed": "2026-09-08T16:20:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ZSeven-W/dsh-noema", "name": "dsh-noema", "kind": "mcp", "official": null, "desc": "Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.", "repo": "https://github.com/ZSeven-W/dsh-noema", "install": [], "stars": 143, "pushed": null, "license": null, "plat": "other.misc", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:muhammadalicusit56-glitch/otto-cognitive-nudge", "name": "otto-cognitive-nudge", "kind": "mcp", "official": null, "desc": "Smart Promise Tracker AI 2026 – Commit Memory Engine", "repo": "https://github.com/muhammadalicusit56-glitch/otto-cognitive-nudge", "install": [], "stars": 142, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:com.membase/membase", "name": "com.membase/membase", "kind": "mcp", "official": null, "desc": "Long-term memory for you and your AIs: search memories, read the profile, add facts and documents.", "repo": "https://github.com/unibaseio/membase", "install": ["https://api.app.membase.com/mcp-http"], "stars": 141, "pushed": "2026-11-10T02:31:31Z", "license": "MIT", "plat": "membase", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "skill:techwolf-ai/ai-first-toolkit/plugins/session-tools/skills/handoff", "name": "handoff", "kind": "skill", "official": false, "desc": "Write a session handoff at the end of a session so the next session can start from where this one stopped without rereading the whole conversation. Use when user says \"handoff\", \"wrap up\", \"write a handoff\", \"end of session\", \"park this session\", \"save where we are\", or to RESUME with \"/handoff read\", \"pick up the handoff\", \"read the handoff\". Writes a tight resume note (HANDOFF.md) into the working directory, not a full transcript. Scope is the current project's resume note only, not searching ", "repo": "https://github.com/techwolf-ai/ai-first-toolkit/tree/HEAD/plugins/session-tools/skills/handoff", "install": ["npx skills add techwolf-ai/ai-first-toolkit --skill handoff"], "stars": 141, "pushed": "2026-09-29T14:43:16Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:techwolf-ai/ai-first-toolkit/plugins/session-tools/skills/session-search", "name": "session-search", "kind": "skill", "official": false, "desc": "Find context from past Claude Code (CLI) and Claude Cowork (desktop) sessions on this Mac. Use when the user wants to recall something they did before but can't find it , phrasings like \"where did I work on X\", \"find that session where I…\", \"when did I last do Y\", \"pull up the conversation about Z\", \"that time I built/tried/discussed …\". Searches by kind (code/cowork), time range, title, working directory, or free-text content across all transcripts.", "repo": "https://github.com/techwolf-ai/ai-first-toolkit/tree/HEAD/plugins/session-tools/skills/session-search", "install": ["npx skills add techwolf-ai/ai-first-toolkit --skill session-search"], "stars": 141, "pushed": "2026-09-29T14:43:16Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:techwolf-ai/ai-first-toolkit/plugins/ai-adoption/skills/task-profile", "name": "task-profile", "kind": "skill", "official": false, "desc": "Mine the user's Claude Code + Cowork session history into a structured task profile, what they do with AI, how often, how successfully where friction lives, then propose atomic skills that would reduce iteration. Use when the user asks to \"analyse my Claude use\", \"build a task profile\", \"what tasks do I do with Claude\", \"where am I spending tokens\", \"what skills would help me\", or mentions reviewing past sessions for patterns. Produces profile.csv (shareable), explorer.html (personal coaching vi", "repo": "https://github.com/techwolf-ai/ai-first-toolkit/tree/HEAD/plugins/ai-adoption/skills/task-profile", "install": ["npx skills add techwolf-ai/ai-first-toolkit --skill task-profile"], "stars": 141, "pushed": "2026-09-29T14:43:16Z", "license": "MIT", "plat": "claude code + cowork", "live": "Not checked (runs locally)"}, {"id": "skill:techwolf-ai/ai-first-toolkit/plugins/ai-adoption/skills/token-doctor", "name": "token-doctor", "kind": "skill", "official": false, "desc": "Personal diagnosis of where your Claude Code + Cowork spend goes. Reads local transcripts, prints your conversation length distribution, marathon share, cache rebuild costs, and per-project diagnosis (good projects and problem projects) right in the terminal. Then offers a deeper dive that fans out parallel Haiku subagents over your most expensive (and most efficient) sessions and writes a tight Markdown report. Use when the user asks \"why is my Claude spend so high\", \"where am I burning tokens\"", "repo": "https://github.com/techwolf-ai/ai-first-toolkit/tree/HEAD/plugins/ai-adoption/skills/token-doctor", "install": ["npx skills add techwolf-ai/ai-first-toolkit --skill token-doctor"], "stars": 141, "pushed": "2026-09-29T14:43:16Z", "license": "MIT", "plat": "claude code + cowork", "live": "Not checked (runs locally)"}, {"id": "skill:Mark393295827/third-brain-v7-skills/skills/context-manager", "name": "context-manager", "kind": "skill", "official": false, "desc": "Use when a long-running agent task needs context budgeting, checkpointing, compaction, retrieval, or capability-based model routing.", "repo": "https://github.com/Mark393295827/third-brain-v7-skills/tree/HEAD/skills/context-manager", "install": ["npx skills add Mark393295827/third-brain-v7-skills --skill context-manager"], "stars": 140, "pushed": "2026-09-19T09:08:54Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ArihantDeva/heimdall", "name": "heimdall", "kind": "mcp", "official": null, "desc": "A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.", "repo": "https://github.com/ArihantDeva/heimdall", "install": [], "stars": 140, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:frankchu91/mindbase-llm-wiki", "name": "mindbase-llm-wiki", "kind": "mcp", "official": null, "desc": "Karpathy's LLM Wiki idea as a product — an AI that builds and maintains a markdown wiki from your notes and sources. MCP server + web UI, runs on free local models (Ollama), no API key needed. MIT.", "repo": "https://github.com/frankchu91/mindbase-llm-wiki", "install": [], "stars": 137, "pushed": null, "license": null, "plat": "mindbase-llm-wiki", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:MystenLabs/walrus-memory", "name": "walrus-memory", "kind": "mcp", "official": null, "desc": "A portable memory layer that makes AI agents reliable across apps and sessions. Persistent, verifiable, and fully under your control.", "repo": "https://github.com/MystenLabs/walrus-memory", "install": [], "stars": 137, "pushed": null, "license": null, "plat": "walrus-memory", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:OriginTrail/dkg", "name": "dkg", "kind": "mcp", "official": null, "desc": "OriginTrail Decentralized Knowledge Graph (DKG) — Shared memory for AI agents. Give Hermes, OpenClaw, Claude Code, Codex, and Cursor a local knowledge-graph memory that several agents can share, with provenance, and verify on-chain when it matters. Open source, Apache-2.0.", "repo": "https://github.com/OriginTrail/dkg", "install": [], "stars": 136, "pushed": null, "license": null, "plat": "origintrail", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mkreyman/mcp-memory-keeper", "name": "mcp-memory-keeper", "kind": "mcp", "official": null, "desc": "MCP server for persistent context management in AI coding assistants", "repo": "https://github.com/mkreyman/mcp-memory-keeper", "install": [], "stars": 136, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Parcha-ai/parcha-skills/recall/skills/recall", "name": "recall", "kind": "skill", "official": false, "desc": "Find prior Claude Code and Codex sessions with an indexed local search engine, then continue the work, repeat it with fresh inputs, or distill it into a skill. Runs from Claude Code, Codex, or pi; the current index covers Claude Code and Codex transcripts. Use when the user names Recall, says \"find that conversation where…\", \"what did we do last time about…\", \"continue what we did yesterday on X\", \"what did codex do on this branch\", \"turn what we did about Y into a skill\", or \"remember when you…", "repo": "https://github.com/Parcha-ai/parcha-skills/tree/HEAD/recall/skills/recall", "install": ["npx skills add Parcha-ai/parcha-skills --skill recall"], "stars": 136, "pushed": "2026-10-22T22:55:35Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:Parcha-ai/parcha-skills/recap/skills/recap", "name": "recap", "kind": "skill", "official": false, "desc": "Reconstruct what a Claude Code or Codex agent actually did during one exact session, including goals, decisions, actions, file and git changes, tests, failures, recoveries, final state, and open work. Use when the user says \"/recap\", \"recap this session\", \"what did this agent do\", \"give me the full handoff\", or asks for an evidence-backed account of a long-running coding-agent session. Use Recall for prior-session discovery; use Recap after a session is identified. Never use it to expose hidden ", "repo": "https://github.com/Parcha-ai/parcha-skills/tree/HEAD/recap/skills/recap", "install": ["npx skills add Parcha-ai/parcha-skills --skill recap"], "stars": 136, "pushed": "2026-10-22T22:55:35Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:galiprandi/job-seeker/.agents/skills/memory", "name": "memory", "kind": "skill", "official": false, "desc": "Autonomous user preference detection, storage and injection. The agent detects preferences from conversation, saves them to Postgres, and loads active ones at the start of every flow.", "repo": "https://github.com/galiprandi/job-seeker/tree/HEAD/.agents/skills/memory", "install": ["npx skills add galiprandi/job-seeker --skill memory"], "stars": 135, "pushed": "2026-11-14T05:43:15Z", "license": "MIT", "plat": "postgresql", "live": "Not checked (runs locally)"}, {"id": "skill:agentscope-ai/skills/skills/nano-memory", "name": "nano-memory", "kind": "skill", "official": false, "desc": "Guidelines and workflows for the agent to maintain persistent memory using native file tools (read_file, write_file, edit_file) and standard OS commands for searching.", "repo": "https://github.com/agentscope-ai/skills/tree/HEAD/skills/nano-memory", "install": ["npx skills add agentscope-ai/skills --skill nano-memory"], "stars": 135, "pushed": "2026-09-10T06:33:51Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:istefox/obsidian-mcp-connector", "name": "obsidian-mcp-connector", "kind": "mcp", "official": null, "desc": "Your Obsidian vault, exposed to Claude, Codex, Cursor and any MCP client. Runs inside Obsidian, on-device semantic search, no cloud round-trip, no binary to download.", "repo": "https://github.com/istefox/obsidian-mcp-connector", "install": [], "stars": 135, "pushed": null, "license": null, "plat": "obsidian", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:madarco/ragrabbit", "name": "ragrabbit", "kind": "mcp", "official": null, "desc": "Open Source, Self-Hosted, AI Search and LLM.txt for your website", "repo": "https://github.com/madarco/ragrabbit", "install": [], "stars": 135, "pushed": null, "license": null, "plat": "website", "live": "Not checked (runs locally)"}, {"id": "mcp:dev.docmancer/docmancer", "name": "Docmancer", "kind": "mcp", "official": null, "desc": "Local-only MCP server for source-attributed Markdown memory and documentation retrieval.", "repo": "https://github.com/docmancer/docmancer", "install": ["pypi:docmancer"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer", "name": "docmancer", "kind": "skill", "official": false, "desc": "Work from the same local memory as every other coding agent on this machine. Recall prior decisions, preferences, instructions, and project conventions that Claude Code, Codex, Cursor, and other agents wrote here, with cited sources, fully local. Also searches a separate local technical-documentation index.", "repo": "https://github.com/docmancer/docmancer", "install": ["npx skills add docmancer/docmancer --skill docmancer"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "claude code, codex, cursor", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer/docmancer/distribution/codex-plugin/skills/docmancer-memory", "name": "docmancer-memory", "kind": "skill", "official": false, "desc": "Recall and write source-attributed local memory.", "repo": "https://github.com/docmancer/docmancer/tree/HEAD/docmancer/distribution/codex-plugin/skills/docmancer-memory", "install": ["npx skills add docmancer/docmancer --skill docmancer-memory"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "docmancer", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer/docmancer/distribution/skills/memory-writing", "name": "docmancer-memory-writing", "kind": "skill", "official": false, "desc": "Write deliberate source-attributed local memory.", "repo": "https://github.com/docmancer/docmancer/tree/HEAD/docmancer/distribution/skills/memory-writing", "install": ["npx skills add docmancer/docmancer --skill docmancer-memory-writing"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "docmancer", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer/docmancer/distribution/skills/onboarding", "name": "docmancer-onboarding", "kind": "skill", "official": false, "desc": "Set up machine-wide agent memory and open the local project workbench.", "repo": "https://github.com/docmancer/docmancer/tree/HEAD/docmancer/distribution/skills/onboarding", "install": ["npx skills add docmancer/docmancer --skill docmancer-onboarding"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "docmancer", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer/docmancer/distribution/skills/search-before-answer", "name": "docmancer-search-before-answer", "kind": "skill", "official": false, "desc": "Recall prior project decisions and supporting agent evidence before answering.", "repo": "https://github.com/docmancer/docmancer/tree/HEAD/docmancer/distribution/skills/search-before-answer", "install": ["npx skills add docmancer/docmancer --skill docmancer-search-before-answer"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "docmancer", "live": "Not checked (runs locally)"}, {"id": "skill:HelloRuru/claude-memory-engine/skill", "name": "memory-engine", "kind": "skill", "official": false, "desc": "Memory management system for Claude Code — Student Loop, Smart Context, Auto Learn, Session Handoff, Correction Cycle. Triggered by memory commands (/save, /reflect, /handoff, /check) or memory-related questions. Not for general programming tasks.", "repo": "https://github.com/HelloRuru/claude-memory-engine/tree/HEAD/skill", "install": ["npx skills add HelloRuru/claude-memory-engine --skill memory-engine"], "stars": 133, "pushed": "2026-05-11T14:11:24Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer/docmancer/distribution/claude-marketplace/plugins/docmancer/skills/onboarding", "name": "onboarding", "kind": "skill", "official": false, "desc": "Set up machine-wide memory and open the local project workbench.", "repo": "https://github.com/docmancer/docmancer/tree/HEAD/docmancer/distribution/claude-marketplace/plugins/docmancer/skills/onboarding", "install": ["npx skills add docmancer/docmancer --skill onboarding"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer/docmancer/distribution/claude-marketplace/plugins/docmancer/skills/recall", "name": "recall", "kind": "skill", "official": false, "desc": "Recall source-attributed local memory before work.", "repo": "https://github.com/docmancer/docmancer/tree/HEAD/docmancer/distribution/claude-marketplace/plugins/docmancer/skills/recall", "install": ["npx skills add docmancer/docmancer --skill recall"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer/docmancer/distribution/claude-marketplace/plugins/docmancer/skills/status", "name": "status", "kind": "skill", "official": false, "desc": "Inspect Docmancer tree, index, capture, and security health.", "repo": "https://github.com/docmancer/docmancer/tree/HEAD/docmancer/distribution/claude-marketplace/plugins/docmancer/skills/status", "install": ["npx skills add docmancer/docmancer --skill status"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "docmancer", "live": "Not checked (runs locally)"}, {"id": "skill:docmancer/docmancer/docmancer/distribution/claude-marketplace/plugins/docmancer/skills/write", "name": "write", "kind": "skill", "official": false, "desc": "Deliberately write or revise one complete curated memory file.", "repo": "https://github.com/docmancer/docmancer/tree/HEAD/docmancer/distribution/claude-marketplace/plugins/docmancer/skills/write", "install": ["npx skills add docmancer/docmancer --skill write"], "stars": 133, "pushed": "2026-08-13T15:35:57Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:62656456/ai-film-skills/skills/d-data-analysis-semantic-layer", "name": "d-data-analysis-semantic-layer", "kind": "skill", "official": false, "desc": "审核并版本化写入 D｜数据分析知识语义层，只用于用户在看到正式报告和候选内容后明确回复“同意吸纳”“写入D”“加入数据分析知识库”“确认进入知识库”或“批准更新D”的场景。用于验证候选结论、来源、有效期、复查日期、冲突和历史版本；不得因“调用D”“分析市场”或生成候选内容而触发写入。包内自带完整审核、版本和写入合同，不要求配套Skill。", "repo": "https://github.com/62656456/ai-film-skills/tree/HEAD/skills/d-data-analysis-semantic-layer", "install": ["npx skills add 62656456/ai-film-skills --skill d-data-analysis-semantic-layer"], "stars": 132, "pushed": "2026-11-06T01:31:28Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:lsaint/aikito", "name": "aikito", "kind": "mcp", "official": null, "desc": "Your durable workspace across AI agents.", "repo": "https://github.com/lsaint/aikito", "install": [], "stars": 130, "pushed": "2026-11-13T04:23:43Z", "license": "MIT", "plat": "aikito", "live": "Not checked (runs locally)"}, {"id": "skill:lsaint/aikito/src/aikito/templates/skills/aikito", "name": "aikito", "kind": "skill", "official": false, "desc": "Operate Aikito workspaces and resources, including reading inbox notes, managing memory, skills, projects, MCP servers, subagents, and synchronization.", "repo": "https://github.com/lsaint/aikito/tree/HEAD/src/aikito/templates/skills/aikito", "install": ["npx skills add lsaint/aikito --skill aikito"], "stars": 130, "pushed": "2026-11-13T04:23:43Z", "license": "MIT", "plat": "aikito", "live": "Not checked (runs locally)"}, {"id": "skill:lsaint/aikito/src/aikito/templates/skills/durable-memory", "name": "durable-memory", "kind": "skill", "official": false, "desc": "Git-versioned memory stored in the Aikito workspace, separate from any Agent's built-in memory. Use to search, retrieve, or persist cross-project and project-scoped durable knowledge, historical decisions, user preferences, or verified architecture constraints.", "repo": "https://github.com/lsaint/aikito/tree/HEAD/src/aikito/templates/skills/durable-memory", "install": ["npx skills add lsaint/aikito --skill durable-memory"], "stars": 130, "pushed": "2026-11-13T04:23:43Z", "license": "MIT", "plat": "aikito", "live": "Not checked (runs locally)"}, {"id": "skill:YiShu5/claude-skills/skills/self-improving-agent", "name": "self-improving-agent", "kind": "skill", "official": false, "desc": "Low-noise self-improvement skill. Captures learnings, errors, and corrections into a local `.learnings/` cache layer. Never auto-promotes to long-term memory files (SOUL.md, MEMORY.md, AGENTS.md, TOOLS.md). Promotion requires explicit user approval after repeated validation.", "repo": "https://github.com/YiShu5/claude-skills/tree/HEAD/skills/self-improving-agent", "install": ["npx skills add YiShu5/claude-skills --skill self-improving-agent"], "stars": 130, "pushed": "2026-10-29T09:19:25Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:awebai/aweb", "name": "aweb", "kind": "mcp", "official": null, "desc": "Communication for AI agents: stable identity, durable mail and chat, and wake-up events across sessions, runtimes, machines, and organizations. MIT, self-hostable.", "repo": "https://github.com/awebai/aweb", "install": [], "stars": 129, "pushed": null, "license": null, "plat": "aweb", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:radimsem/remindb", "name": "remindb", "kind": "mcp", "official": null, "desc": "An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.", "repo": "https://github.com/radimsem/remindb", "install": [], "stars": 128, "pushed": null, "license": null, "plat": "sqlite", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:yahorbarkouski/screencap", "name": "screencap", "kind": "mcp", "official": null, "desc": "A lightweight, macOS-native activity memory for you and your agents", "repo": "https://github.com/yahorbarkouski/screencap", "install": [], "stars": 128, "pushed": null, "license": null, "plat": "screencap", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.AppachiTech/suvadu", "name": "Suvadu", "kind": "mcp", "official": null, "desc": "Local shell history and AI agent sessions over MCP: search commands, failures, risk and git changes", "repo": "https://github.com/AppachiTech/suvadu", "install": ["cargo:suvadu"], "stars": 128, "pushed": "2026-11-11T05:13:51Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:roampal-ai/roampal", "name": "roampal", "kind": "mcp", "official": null, "desc": "Memory that learns what works.", "repo": "https://github.com/roampal-ai/roampal", "install": [], "stars": 126, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Glen-Web-App/best-memory-plugins", "name": "best-memory-plugins", "kind": "mcp", "official": null, "desc": "Best Memory Plugins for AI coding agents: Claude Code, Codex, Cursor, OpenCode, Cline and more. Glen, claude-mem, Supermemory, Hindsight, agentmemory, Mem0, Cognee, MemPalace and others ranked on automatic capture vs tool calls, local vs hosted, team sharing, privacy and install steps, plus built-in", "repo": "https://github.com/Glen-Web-App/best-memory-plugins", "install": [], "stars": 125, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:claudememory/claude-memory", "name": "claude-memory", "kind": "mcp", "official": null, "desc": "Claude memory: the top 10 ways to give Claude persistent, long-term memory, compared. Covers MCP memory servers, CLAUDE.md, memory plugins and tools for Claude Code, Claude Desktop and the Claude API. Setup, pros and cons, and which to pick for remembering context across sessions.", "repo": "https://github.com/claudememory/claude-memory", "install": [], "stars": 125, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Uranid/mnem", "name": "mnem", "kind": "mcp", "official": null, "desc": "Git for AI Agent Knowledge. A persistent, versioned memory layer for AI systems. Hybrid GraphRAG retrieval. Runs entirely offline.", "repo": "https://github.com/Uranid/mnem", "install": [], "stars": 125, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Thinklanceai/agentkeeper", "name": "agentkeeper", "kind": "mcp", "official": null, "desc": "Own your AI memory — import ChatGPT, Claude and Gemini exports, see what each AI knows about you. Checkpoint/restore and cross-model continuity for agents.", "repo": "https://github.com/Thinklanceai/agentkeeper", "install": [], "stars": 123, "pushed": null, "license": null, "plat": "agentkeeper", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:AyanbekDos/memoriki", "name": "memoriki", "kind": "mcp", "official": null, "desc": "Memoriki - LLM Wiki + MemPalace. Personal knowledge base with real memory.", "repo": "https://github.com/AyanbekDos/memoriki", "install": [], "stars": 123, "pushed": null, "license": null, "plat": "memoriki", "live": "Not checked (runs locally)"}, {"id": "skill:neo4j-contrib/neo4j-skills/neo4j-agent-memory-skill", "name": "neo4j-agent-memory-skill", "kind": "skill", "official": false, "desc": "Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, Llam", "repo": "https://github.com/neo4j-contrib/neo4j-skills/tree/HEAD/neo4j-agent-memory-skill", "install": ["npx skills add neo4j-contrib/neo4j-skills --skill neo4j-agent-memory-skill"], "stars": 122, "pushed": "2026-11-09T08:06:18Z", "license": "MIT", "plat": "neo4j", "live": "Not checked (runs locally)"}, {"id": "skill:joetawil7/first-pass/skills/habit-words", "name": "habit-words", "kind": "skill", "official": false, "desc": "Learns the words a user habitually writes to their coding agent that make its answers worse (\"be 100% sure\", \"don't assume\", \"full review\", \"are you sure?\", \"all fine, right?\"), from what they actually typed in their recent Claude Code sessions. Shows what each one does, what went wrong after it, and what to say instead, then writes the habit words block that maps each word to the checks it should trigger, so the checks run without the words. Use when asked to learn, read, refresh or review the ", "repo": "https://github.com/joetawil7/first-pass/tree/HEAD/skills/habit-words", "install": ["npx skills add joetawil7/first-pass --skill habit-words"], "stars": 121, "pushed": "2026-10-17T22:25:59Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/knowledge-graph", "name": "knowledge-graph", "kind": "skill", "official": false, "desc": "Build and maintain the project's knowledge graph — a tiered set of nodes under docs/graph/ that lets an agent load only the few facts a task needs instead of the whole codebase. Use when adopting a project, when a fact changes, when a node grows too large, or when a task should have matched a node's triggers and didn't. Enforces one home per fact (dedup), honest per-node budgets, cite-don't-fabricate, and a mechanical linter. The library wiki (docs/graph/libraries/) is a leaf tier of this graph,", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/knowledge-graph", "install": ["npx skills add llopresto87/Cypress --skill knowledge-graph"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/library-wiki", "name": "library-wiki", "kind": "skill", "official": false, "desc": "Maintain a project-local, version-pinned wiki of every external dependency. Use whenever a new library is being added, an existing one is being upgraded, an idiom for using a library is being adopted, a pitfall is being discovered, or a wiki page is missing for code that already uses a library. The wiki is the source of truth this project consults before writing code that touches a library; agent memory of library APIs is unreliable across versions, so always check or build the wiki first.", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/library-wiki", "install": ["npx skills add llopresto87/Cypress --skill library-wiki"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/source-index", "name": "source-index", "kind": "skill", "official": false, "desc": "Answers impact, affected-tests, anchors and symbols queries on a plant's code via docs/graph/source-index.py, without a model.", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/source-index", "install": ["npx skills add llopresto87/Cypress --skill source-index"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:llopresto87/Cypress/skills/validate-knowledge", "name": "validate-knowledge", "kind": "skill", "official": false, "desc": "Prove that a knowledge base actually works before trusting it — after building or adopting docs, a knowledge graph, or a wiki, verify it can orient a fresh agent and resist false premises. Use at the end of an adoption, after a large docs change, or before relying on the graph to route work. Two methods: clean-context test agents answering known-answer and adversarial questions, and enforcement tests that plant a violation and confirm the linter catches it. A smoke test proves code runs; this pr", "repo": "https://github.com/llopresto87/Cypress/tree/HEAD/skills/validate-knowledge", "install": ["npx skills add llopresto87/Cypress --skill validate-knowledge"], "stars": 121, "pushed": "2026-11-11T15:59:46Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:balabalabalading/huuuuuuho-skills/skills/logging-session", "name": "logging-session", "kind": "skill", "official": false, "desc": "Record and query AI conversation logs — what users asked, how it was solved, and the result. Use when users want to logging conversation, summarize recent work from sessions, or want daily/weekly project summaries from past conversations.", "repo": "https://github.com/balabalabalading/huuuuuuho-skills/tree/HEAD/skills/logging-session", "install": ["npx skills add balabalabalading/huuuuuuho-skills --skill logging-session"], "stars": 119, "pushed": "2026-09-26T07:32:12Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:supermemoryai/skills/supermemory", "name": "supermemory", "kind": "skill", "official": false, "desc": "Build with the Supermemory v5 API and SDKs (TypeScript `supermemory` 5.x, Python `supermemory` 5.x, `@supermemory/tools` 3.x). Use when an application needs persistent memory across sessions, per-user personalization, a maintained user profile, or semantic search over documents. Covers the namespace-scoped endpoints, exact SDK call shapes, search and ingestion options, typed filters, and the legacy names that must not be emitted.", "repo": "https://github.com/supermemoryai/skills/tree/HEAD/supermemory", "install": ["npx skills add supermemoryai/skills --skill supermemory"], "stars": 117, "pushed": "2026-10-14T22:02:08Z", "license": null, "plat": "supermemory", "live": "Not checked (runs locally)"}, {"id": "skill:supermemoryai/skills/supermemory-cli", "name": "supermemory-cli", "kind": "skill", "official": false, "desc": "Use the Supermemory CLI (`supermemory` 5.x on npm) from the terminal or from scripts and agents. Add content, search, read profiles, forget memories, manage documents, namespaces, connectors, API keys and team members, install coding-agent plugins, migrate a project to the v5 API, and run the local self-hosted server. Covers every command, subcommand, flag and the JSON output contract.", "repo": "https://github.com/supermemoryai/skills/tree/HEAD/supermemory-cli", "install": ["npx skills add supermemoryai/skills --skill supermemory-cli"], "stars": 117, "pushed": "2026-10-14T22:02:08Z", "license": null, "plat": "supermemory", "live": "Not checked (runs locally)"}, {"id": "skill:lokikill123/codex-token-skills/skills/memory", "name": "memory", "kind": "skill", "official": false, "desc": "Persistent global memory across conversations. Read memory file at start of every conversation, write important context during conversation so it survives context compression. Use ALWAYS. Triggered automatically.", "repo": "https://github.com/lokikill123/codex-token-skills/tree/HEAD/skills/memory", "install": ["npx skills add lokikill123/codex-token-skills --skill memory"], "stars": 116, "pushed": "2026-06-15T12:08:34Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:ogham-mcp/ogham-mcp", "name": "ogham-mcp", "kind": "mcp", "official": null, "desc": "Shared memory MCP server — persistent, searchable, cross-client Claude, Opencode, Codex", "repo": "https://github.com/ogham-mcp/ogham-mcp", "install": [], "stars": 116, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:techeer-sv/Career-Skills/skills/portfolio-build", "name": "portfolio-build", "kind": "skill", "official": false, "desc": "개발자 슬라이드 포트폴리오(자기완결형 HTML 덱)를 제작한다. references/의 디자인 레퍼런스를 하나 골라, 사용자 자료(기존 포폴 HTML·PDF, 이력서, 아키텍처·대시보드 이미지 폴더, GitHub 레포)에서 내용과 이미지를 추출해 채우고 근거 있는 슬라이드만 남긴다. \"포트폴리오 만들어줘/제작/리디자인해줘\", 이력서·PDF로 포폴 뽑아달라는 요청에 사용.", "repo": "https://github.com/techeer-sv/Career-Skills/tree/HEAD/skills/portfolio-build", "install": ["npx skills add techeer-sv/Career-Skills --skill portfolio-build"], "stars": 116, "pushed": "2026-11-13T13:27:33Z", "license": "MIT", "plat": "openclaw", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.deepmemteam/deepmem", "name": "DeepMem", "kind": "mcp", "official": null, "desc": "Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.", "repo": "https://github.com/deepmemteam/deepmem", "install": ["https://deepmem.dev/mcp"], "stars": 114, "pushed": "2026-08-17T08:58:23Z", "license": "MIT", "plat": "deepmem", "live": "Down · TimeoutError: The read operation timed out (checked 2026-11-13)"}, {"id": "mcp:gh:DrDroidLab/open-index", "name": "open-index", "kind": "mcp", "official": null, "desc": "Deterministic memory layer for your agents", "repo": "https://github.com/DrDroidLab/open-index", "install": [], "stars": 114, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:xzwwwwww/Enhanced-mathmodel-Codex-skills/skills/context-memory-keeper", "name": "context-memory-keeper", "kind": "skill", "official": false, "desc": "Manages persistent memory. Invoke to read active context or archive old tasks. Structure: Long-term Principles (Rules) + Short-term Workbench (Tasks).", "repo": "https://github.com/xzwwwwww/Enhanced-mathmodel-Codex-skills/tree/HEAD/skills/context-memory-keeper", "install": ["npx skills add xzwwwwww/Enhanced-mathmodel-Codex-skills --skill context-memory-keeper"], "stars": 113, "pushed": "2026-05-06T13:36:37Z", "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:Aryan-Pardeshi/CiteProof-AI-MCP", "name": "CiteProof-AI-MCP", "kind": "mcp", "official": null, "desc": "Open-source research assistant and MCP audit toolkit for systematic reviews: cited research reports, PRISMA tracking, evidence and claim checks, and reproducible exports with human oversight.", "repo": "https://github.com/Aryan-Pardeshi/CiteProof-AI-MCP", "install": [], "stars": 112, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:avivsinai/langfuse-mcp/skills/langfuse", "name": "langfuse", "kind": "skill", "official": false, "desc": "Investigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP. Use when the request names Langfuse or asks to diagnose recorded AI behavior.", "repo": "https://github.com/avivsinai/langfuse-mcp/tree/HEAD/skills/langfuse", "install": ["npx skills add avivsinai/langfuse-mcp --skill langfuse"], "stars": 112, "pushed": "2026-11-06T19:23:35Z", "license": "MIT", "plat": "langfuse", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:elvismdev/mem0-mcp-selfhosted", "name": "mem0-mcp-selfhosted", "kind": "mcp", "official": null, "desc": "Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.", "repo": "https://github.com/elvismdev/mem0-mcp-selfhosted", "install": [], "stars": 112, "pushed": null, "license": null, "plat": "qdrant, neo4j, ollama", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:linggen/linggen-memory", "name": "linggen-memory", "kind": "mcp", "official": null, "desc": "Local-first semantic memory for AI assistants — one store your preferences, decisions and gotchas follow you into, across Claude Code, Codex, Cursor and Zed.", "repo": "https://github.com/linggen/linggen-memory", "install": [], "stars": 111, "pushed": null, "license": null, "plat": "claude code, codex, cursor and zed", "live": "Not checked (runs locally)"}, {"id": "skill:carson2222/skills/opencode-memory", "name": "opencode-memory", "kind": "skill", "official": false, "desc": "Browse local OpenCode history: sessions, messages, plans, prompt history, and prior decisions. Use when the user says history, previous session, last time, remember, recall, plans, prior work, or when resuming/debugging repeated work where earlier OpenCode context may help. Do not use for fresh tasks or when current files/git already answer the question.", "repo": "https://github.com/carson2222/skills/tree/HEAD/opencode-memory", "install": ["npx skills add carson2222/skills --skill opencode-memory"], "stars": 111, "pushed": "2026-06-28T13:20:08Z", "license": "Apache-2.0", "plat": "opencode", "live": "Not checked (runs locally)"}, {"id": "skill:cigery-useio/useio-skills/knowledge-extractor", "name": "knowledge-extractor", "kind": "skill", "official": false, "desc": "UseIO 元技能，用于从当前对话内容中提取有价值的知识条目并保存到知识库。当用户要求\"提取知识\"\"保存为知识\"\"记录到知识库\"时触发，引导 agent 分析对话内容，调用 save_knowledge 工具完成结构化知识存储，支持用户指定分类或由 agent 自动判断。", "repo": "https://github.com/cigery-useio/useio-skills/tree/HEAD/knowledge-extractor", "install": ["npx skills add cigery-useio/useio-skills --skill knowledge-extractor"], "stars": 110, "pushed": "2026-09-23T17:09:12Z", "license": null, "plat": "knowledge", "live": "Not checked (runs locally)"}, {"id": "skill:TyrealQ/q-skills/skills/handoff", "name": "handoff", "kind": "skill", "official": false, "desc": "Capture session decisions, conventions, and lessons into plan files, auto-memory, and CLAUDE.md so a fresh session resumes cleanly. Use for \"hand off,\" \"wrap up,\" \"update docs for next session,\" or before /compact.", "repo": "https://github.com/TyrealQ/q-skills/tree/HEAD/skills/handoff", "install": ["npx skills add TyrealQ/q-skills --skill handoff"], "stars": 109, "pushed": "2026-09-23T19:44:36Z", "license": "MIT", "plat": "claude.md", "live": "Not checked (runs locally)"}, {"id": "skill:TyrealQ/q-skills/skills/learn", "name": "learn", "kind": "skill", "official": false, "desc": "Persist user preferences and styles across sessions. Use for remember this, save preference, learn this, always do X, never do Y, from now on, update CLAUDE.md, update CM, forget X, what do you remember, or after repeated corrections in a session.", "repo": "https://github.com/TyrealQ/q-skills/tree/HEAD/skills/learn", "install": ["npx skills add TyrealQ/q-skills --skill learn"], "stars": 109, "pushed": "2026-09-23T19:44:36Z", "license": "MIT", "plat": "claude.md", "live": "Not checked (runs locally)"}, {"id": "mcp:com.coachwatts/coach-watts", "name": "Coach Watts", "kind": "mcp", "official": null, "desc": "Remote MCP server for training, nutrition, wellness, and performance data with OAuth 2.0.", "repo": "https://github.com/hdkiller/coach", "install": ["https://coachwatts.com/mcp"], "stars": 108, "pushed": "2026-11-11T18:40:03Z", "license": "Apache-2.0", "plat": "coach watts", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:gh:JingxuanC/causal-memory", "name": "causal-memory", "kind": "mcp", "official": null, "desc": "Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.", "repo": "https://github.com/JingxuanC/causal-memory", "install": [], "stars": 107, "pushed": null, "license": null, "plat": "causal memory", "live": "Not checked (runs locally)"}, {"id": "skill:ilang-ai/autocode/skills/memory", "name": "memory", "kind": "skill", "official": false, "desc": "Cross-cutting: what AutoCode remembers and how every session starts. Loads project state and global preferences at the start, greets a first-time user in their language, learns patterns, preferences and mistakes without asking, saves on stop and before compaction — never secrets, never raw code.", "repo": "https://github.com/ilang-ai/autocode/tree/HEAD/skills/memory", "install": ["npx skills add ilang-ai/autocode --skill memory"], "stars": 107, "pushed": "2026-10-22T03:15:58Z", "license": "MIT", "plat": "autocode", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:mtrnix/metronix-memory", "name": "metronix-memory", "kind": "mcp", "official": null, "desc": "Self-hosted AI agent memory — MCP memory server with durable recall for agents", "repo": "https://github.com/mtrnix/metronix-memory", "install": [], "stars": 107, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:sulabhdubey/rta-smriti-brain", "name": "rta-smriti-brain", "kind": "mcp", "official": null, "desc": "Local-first, evidence-aware project memory for AI coding agents.", "repo": "https://github.com/sulabhdubey/rta-smriti-brain", "install": [], "stars": 107, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:HoangYell/markdy-com", "name": "markdy-com", "kind": "mcp", "official": null, "desc": "🎬 Open-source animated architecture diagrams as code. Diagram-native DSL, 17 layout engines, Web Animations API, and MCP server for AI agents.", "repo": "https://github.com/HoangYell/markdy-com", "install": [], "stars": 106, "pushed": null, "license": null, "plat": "heimdall", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Siddhant-K-code/agent-trace", "name": "agent-strace", "kind": "mcp", "official": null, "desc": "Query recorded AI agent sessions: events, summaries, diffs, health, skills, PR reviewability.", "repo": "https://github.com/Siddhant-K-code/agent-trace", "install": ["pypi:agent-strace"], "stars": 105, "pushed": "2026-11-12T06:08:33Z", "license": "MIT", "plat": "ai agent sessions", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:xcosmosbox/Cairn", "name": "Cairn", "kind": "mcp", "official": null, "desc": "Open-source GraphRAG domain knowledge layer: LLMs continuously distill scattered skill docs into a queryable, evolvable, human-editable two-layer knowledge graph — versioned, hot-swapped and rolled back via a GitOps pipeline like software releases, and served to AI agents over MCP. RAG, but with rel", "repo": "https://github.com/xcosmosbox/Cairn", "install": [], "stars": 105, "pushed": null, "license": null, "plat": "graphrag", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:lktiep/cortex-hub", "name": "cortex-hub", "kind": "mcp", "official": null, "desc": "Self-hosted AI Agent Memory + Code Intelligence Platform — one MCP endpoint for persistent memory, AST-aware code search, shared knowledge, and quality enforcement across all your AI coding agents.", "repo": "https://github.com/lktiep/cortex-hub", "install": [], "stars": 105, "pushed": null, "license": null, "plat": "cortex-hub", "live": "Not checked (runs locally)"}, {"id": "skill:skoowoo/hylo/skills/hylo-memory", "name": "hylo-memory", "kind": "skill", "official": false, "desc": "Keeps the user's personal memory under /_memory/: extracts it from recent notes, or records one fact they just told you. Use for 'update my memory', 'refresh my memory from my notes', or when they share something lasting about themselves and want it kept ('remember that I…', '记住我…').", "repo": "https://github.com/skoowoo/hylo/tree/HEAD/skills/hylo-memory", "install": ["npx skills add skoowoo/hylo --skill hylo-memory"], "stars": 105, "pushed": "2026-11-12T07:07:51Z", "license": "Apache-2.0", "plat": "hylo memory", "live": "Not checked (runs locally)"}, {"id": "skill:ilang-ai/Imprint/skills/imprint", "name": "imprint", "kind": "skill", "official": false, "desc": "Your habits, imprinted on AI. Learns how you work from conversation, builds a portable profile, and applies judgment that adapts to you: when to act, when to check with you, when to follow the project's rules over your own defaults. Use this skill whenever the user starts a new session, opens a project, writes or reviews code, debugs, plans, or writes commits. If .dna.md does not exist yet, start the onboarding conversation before doing anything else. Active in almost every working session.", "repo": "https://github.com/ilang-ai/Imprint/tree/HEAD/skills/imprint", "install": ["npx skills add ilang-ai/Imprint --skill imprint"], "stars": 104, "pushed": "2026-09-22T14:23:05Z", "license": "MIT", "plat": "imprint", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:okooo5km/memory-mcp-server", "name": "memory-mcp-server", "kind": "mcp", "official": null, "desc": "A Model Context Protocol server that provides knowledge graph management capabilities. ", "repo": "https://github.com/okooo5km/memory-mcp-server", "install": [], "stars": 104, "pushed": null, "license": null, "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:yahor-punko/mavericks-os/.claude/skills/session-start", "name": "session-start", "kind": "skill", "official": false, "desc": "Load current Mavericks operating state at the start of any session or after context is lost. Prints the live session brief; outputs and deletes ONBOARDING.md (fresh project) and HANDOFF.md when present.", "repo": "https://github.com/yahor-punko/mavericks-os/tree/HEAD/.claude/skills/session-start", "install": ["npx skills add yahor-punko/mavericks-os --skill session-start"], "stars": 104, "pushed": "2026-11-08T00:05:15Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:AIPMAndy/dna-memory", "name": "dna-memory", "kind": "mcp", "official": null, "desc": "Claude Code / Codex 共用的长期记忆 MCP：本地 Markdown/Obsidian 存储，跨工具记住你的项目与偏好｜Local-first shared memory MCP for Claude Code & Codex", "repo": "https://github.com/AIPMAndy/dna-memory", "install": [], "stars": 103, "pushed": null, "license": null, "plat": "claude code & codex", "live": "Not checked (runs locally)"}, {"id": "skill:NulightJens/ai-second-brain-skills/llm-wiki-setup", "name": "llm-wiki-setup", "kind": "skill", "official": false, "desc": "Initialize a Karpathy-style LLM wiki (personal knowledge base / AI second brain) in a folder. Creates a CLAUDE.md schema with routing table and naming conventions, AGENTS.md mirror, raw/wiki directory structure, and index.md/log.md scaffolding — a complete working vault in one pass. Use when the user asks to \"set up an LLM wiki\", \"create a second brain\", \"build a personal knowledge base\", \"install the Karpathy wiki pattern\", \"initialize a knowledge vault\", or points at an empty folder and wants ", "repo": "https://github.com/NulightJens/ai-second-brain-skills/tree/HEAD/llm-wiki-setup", "install": ["npx skills add NulightJens/ai-second-brain-skills --skill llm-wiki-setup"], "stars": 103, "pushed": "2026-04-12T04:31:36Z", "license": "MIT", "plat": "wiki", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:dodo-labs-ai/mem-forge", "name": "mem-forge", "kind": "mcp", "official": null, "desc": "Give every agent your team's brain on day one. The memory layer for AI agents. Everything your team knows. Cited, and always up to date.", "repo": "https://github.com/dodo-labs-ai/mem-forge", "install": [], "stars": 103, "pushed": null, "license": null, "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.cyberlife-coder/velesdb-memory", "name": "VelesDB Memory", "kind": "mcp", "official": null, "desc": "Offline agentic memory: remember/recall/relate/forget/why over a fused vector+graph+columnar engine", "repo": "https://github.com/cyberlife-coder/VelesDB", "install": ["mcpb:https://github.com/cyberlife-coder/VelesDB/releases/download/velesdb-memory-v0.17.1/velesdb-memory-0.17.1-aarch64-apple-darwin.mcpb", "mcpb:https://github.com/cyberlife-coder/VelesDB/releases/download/velesdb-memory-v0.17.1/velesdb-memory-0.17.1-aarch64-unknown-linux-gnu.mcpb", "mcpb:https://github.com/cyberlife-coder/VelesDB/releases/download/velesdb-memory-v0.17.1/velesdb-memory-0.17.1-x86_64-apple-darwin.mcpb", "mcpb:https://github.com/cyberlife-coder/VelesDB/releases/download/velesdb-memory-v0.17.1/velesdb-memory-0.17.1-x86_64-pc-windows-msvc.mcpb", "mcpb:https://github.com/cyberlife-coder/VelesDB/releases/download/velesdb-memory-v0.17.1/velesdb-memory-0.17.1-x86_64-unknown-linux-gnu.mcpb"], "stars": 103, "pushed": "2026-11-13T11:54:39Z", "license": "NOASSERTION", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:NulightJens/ai-second-brain-skills/wiki-self-heal", "name": "wiki-self-heal", "kind": "skill", "official": false, "desc": "Autonomously audit an LLM wiki (Karpathy pattern) for gaps, contradictions, orphans, and stale data, then research and fill high-priority gaps using quality-gated web research. Supports audit-only dry-run mode. Operates on a dedicated branch and commits changes for human review — never auto-merges. Use when the user asks to \"lint my wiki\", \"self-heal my knowledge base\", \"find gaps in my wiki\", \"update my second brain\", \"auto-research my wiki\", \"run a health check on my LLM wiki\", \"audit my wiki ", "repo": "https://github.com/NulightJens/ai-second-brain-skills/tree/HEAD/wiki-self-heal", "install": ["npx skills add NulightJens/ai-second-brain-skills --skill wiki-self-heal"], "stars": 103, "pushed": "2026-04-12T04:31:36Z", "license": "MIT", "plat": "wiki", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:klemensgc/modular-context-obsidian-plugin", "name": "modular-context-obsidian-plugin", "kind": "mcp", "official": null, "desc": "Modular Context | Karpathy LLM Knowledge Base + Gmail & G-Cal — multi-account MCP server for Claude Code, encrypted local-first", "repo": "https://github.com/klemensgc/modular-context-obsidian-plugin", "install": [], "stars": 102, "pushed": null, "license": null, "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:omergocmen/vibe-coder-kit/.agent/skills/knowledge-base-update", "name": "knowledge-base-update", "kind": "skill", "official": false, "desc": "Use this skill whenever you learn something important during a conversation: a key architectural decision, a project-specific convention, a bug root-cause, a 3rd-party API quirk, or any fact that would help a future agent avoid re-doing the same research. Writes structured entries to the project's knowledge base so that context persists across conversations and agents.", "repo": "https://github.com/omergocmen/vibe-coder-kit/tree/HEAD/.agent/skills/knowledge-base-update", "install": ["npx skills add omergocmen/vibe-coder-kit --skill knowledge-base-update"], "stars": 101, "pushed": "2026-06-04T11:47:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.IvenKooLab/loci", "name": "loci", "kind": "mcp", "official": null, "desc": "Cross-session memory and hybrid RAG over your notes and docs. Local-first, with cited answers.", "repo": "https://github.com/IvenKooLab/loci", "install": ["pypi:loci-rag"], "stars": 101, "pushed": "2026-11-10T11:16:01Z", "license": "MIT", "plat": "notes and documents", "live": "Not checked (runs locally)"}, {"id": "skill:omergocmen/vibe-coder-kit/.agent/skills/project-context-primer", "name": "project-context-primer", "kind": "skill", "official": false, "desc": "Run this skill at the very start of any new conversation or agent session before writing a single line of code. It loads the project's architectural decisions, conventions, known gotchas, and current task status so the agent operates with full context — not as a blank slate.", "repo": "https://github.com/omergocmen/vibe-coder-kit/tree/HEAD/.agent/skills/project-context-primer", "install": ["npx skills add omergocmen/vibe-coder-kit --skill project-context-primer"], "stars": 101, "pushed": "2026-06-04T11:47:09Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.yuvalsuede/memory-mcp", "name": "io.github.yuvalsuede/memory-mcp", "kind": "mcp", "official": null, "desc": "Persistent memory + git snapshots for Claude Code. Never lose context or code.", "repo": "https://github.com/yuvalsuede/memory-mcp", "install": ["npm:claude-code-memory"], "stars": 100, "pushed": "2026-01-29T15:46:21Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "skill:kayba-ai/Kyoko/kyoko/assets/skills/kyoko-instrument", "name": "kyoko-instrument", "kind": "skill", "official": false, "desc": "Wire an AI agent's telemetry into Kyoko and prove one real run shows up.", "repo": "https://github.com/kayba-ai/Kyoko/tree/HEAD/kyoko/assets/skills/kyoko-instrument", "install": ["npx skills add kayba-ai/Kyoko --skill kyoko-instrument"], "stars": 100, "pushed": "2026-06-12T06:37:29Z", "license": "Apache-2.0", "plat": "kyoko", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.major7apps/pensyve", "name": "Pensyve", "kind": "mcp", "official": null, "desc": "Universal memory runtime for AI agents — episodic, semantic, and procedural memory.", "repo": "https://github.com/major7apps/pensyve", "install": ["oci:ghcr.io/major7apps/pensyve-mcp:5.0.0"], "stars": 100, "pushed": "2026-11-12T12:55:02Z", "license": "NOASSERTION", "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "mcp:gh:2b3pro/roam-research-mcp", "name": "roam-research-mcp", "kind": "mcp", "official": null, "desc": "MCP Server and CLI tool for Roam Research Graph Integration", "repo": "https://github.com/2b3pro/roam-research-mcp", "install": [], "stars": 100, "pushed": null, "license": null, "plat": "roam research", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.kunwar-shah/claudex", "name": "io.github.kunwar-shah/claudex", "kind": "mcp", "official": null, "desc": "Persistent memory + FTS5 search MCP server for Claude Code conversation history.", "repo": "https://github.com/kunwar-shah/claudex", "install": ["npm:@kunwarshah/claudex"], "stars": 97, "pushed": "2026-06-20T20:02:44Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ahmedEid1/lumen", "name": "Lumen", "kind": "mcp", "official": null, "desc": "Self-hostable agentic-AI LMS: catalog, RAG tutor, FSRS reviews, AI authoring, ingest.", "repo": "https://github.com/ahmedEid1/lumen", "install": [], "stars": 93, "pushed": "2026-10-30T10:06:21Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ldclabs/KIP", "name": "io.github.ldclabs/KIP", "kind": "mcp", "official": null, "desc": "Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.", "repo": "https://github.com/ldclabs/KIP", "install": ["npm:@ldclabs/kip-mcp-server"], "stars": 91, "pushed": "2026-11-12T10:35:37Z", "license": "MIT", "plat": "knowledge graphs", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.tenequm/pond", "name": "pond", "kind": "mcp", "official": null, "desc": "Lossless archive and search for AI agent sessions across clients, exposed to agents over MCP.", "repo": "https://github.com/tenequm/pond", "install": ["cargo:pond-db"], "stars": 91, "pushed": "2026-11-09T22:59:00Z", "license": "Apache-2.0", "plat": "ai agent sessions", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.adelinamart/robrain", "name": "io.github.adelinamart/robrain", "kind": "mcp", "official": null, "desc": "Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.", "repo": "https://github.com/adelinamart/robrain", "install": ["npm:robrain"], "stars": 90, "pushed": "2026-11-13T01:06:49Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Vortx-AI/emem", "name": "emem, the verifiable memory protocol for the physical world", "kind": "mcp", "official": null, "desc": "Shared, verifiable memory for machines and AI. Encode where data lives; decode with any AI.", "repo": "https://github.com/Vortx-AI/emem", "install": ["oci:ghcr.io/vortx-ai/emem:latest", "https://emem.dev/mcp"], "stars": 89, "pushed": "2026-11-13T00:13:55Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.cognicore-dev/cognicore-env", "name": "CogniCore", "kind": "mcp", "official": null, "desc": "Memory, reflection and safety for AI agents. Hosted or local, no vector database.", "repo": "https://github.com/cognicore-dev/cognicore-env", "install": ["https://mcp.cognicoree.tech/mcp/stream"], "stars": 83, "pushed": "2026-11-12T16:19:23Z", "license": "Apache-2.0", "plat": "ai agents", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:io.github.mordechaipotash/brain-mcp", "name": "brain — the recorder", "kind": "mcp", "official": null, "desc": "Records your Claude Code, Codex and Pi history before deletion. Cited-or-abstain recall.", "repo": "https://github.com/mordechaipotash/brain-mcp", "install": ["pypi:brain-mcp"], "stars": 81, "pushed": "2026-10-26T18:23:56Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:ai.maximem/synap", "name": "Synap Memory", "kind": "mcp", "official": null, "desc": "Persistent memory for AI agents — log and recall conversation context over MCP.", "repo": "https://github.com/maximem-ai/maximem_synap_sdk", "install": ["https://synap-mcp.maximem.ai/mcp"], "stars": 80, "pushed": "2026-11-05T10:32:13Z", "license": "Apache-2.0", "plat": "synap memory", "live": "Live · 1313 ms · 4 tools · `list_recent_memories` asked for an API key (checked 2026-11-13)"}, {"id": "mcp:io.github.cdeust/hypermnesia-mcp", "name": "io.github.cdeust/hypermnesia-mcp", "kind": "mcp", "official": null, "desc": "Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.", "repo": "https://github.com/cdeust/Cortex", "install": ["pypi:hypermnesia-mcp"], "stars": 76, "pushed": "2026-11-13T05:40:19Z", "license": "MIT", "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.vbcherepanov/total-agent-memory", "name": "Total Agent Memory", "kind": "mcp", "official": null, "desc": "Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall", "repo": "https://github.com/vbcherepanov/total-agent-memory", "install": ["pypi:total-agent-memory"], "stars": 76, "pushed": "2026-11-07T21:00:41Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.HiAi-gg/docsmint", "name": "DocsMint", "kind": "mcp", "official": null, "desc": "Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.", "repo": "https://github.com/HiAi-gg/docsmint", "install": ["npm:@hiai-gg/docsmint", "https://docsmint.com/mcp"], "stars": 74, "pushed": "2026-11-11T23:09:42Z", "license": "Apache-2.0", "plat": "ai agents", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.danilokhury/synabun", "name": "SynaBun", "kind": "mcp", "official": null, "desc": "Persistent memory MCP server for Claude Code, Codex and OpenCode, stored locally in SQLite", "repo": "https://github.com/danilokhury/Synabun", "install": ["npm:synabun"], "stars": 73, "pushed": "2026-11-06T00:56:32Z", "license": "Apache-2.0", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.clarilayer/clarilayer", "name": "ClariLayer", "kind": "mcp", "official": null, "desc": "Individual-analyst context layer: recall, remember, and reconcile your data and engineering context.", "repo": "https://github.com/clarilayer/clarilayer", "install": ["https://clarilayer.com/api/mcp/mcp"], "stars": 71, "pushed": "2026-09-17T17:13:03Z", "license": "NOASSERTION", "plat": "", "live": "Responds, sign-in needed (checked 2026-11-13)"}, {"id": "mcp:ai.knowall/reverie", "name": "Reverie", "kind": "mcp", "official": null, "desc": "Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search", "repo": "https://github.com/knowall-ai/mcp-reverie", "install": ["npm:@knowall-ai/reverie"], "stars": 67, "pushed": "2026-11-06T18:27:59Z", "license": "MIT", "plat": "neo4j", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.rolandpg/zettelforge", "name": "ZettelForge", "kind": "mcp", "official": null, "desc": "Agentic memory for cyber threat intelligence. STIX graphs, actor aliasing, offline RAG, Sigma/YARA.", "repo": "https://github.com/rolandpg/zettelforge", "install": ["pypi:zettelforge"], "stars": 67, "pushed": "2026-11-13T02:59:35Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.HiveForensics-AI/knolo", "name": "Knolo", "kind": "mcp", "official": null, "desc": "Verified, local-first retrieval over pinned Knolo Knowledge Images.", "repo": "https://github.com/HiveForensics-AI/knolo-core", "install": ["npm:@knolo/mcp"], "stars": 66, "pushed": "2026-11-12T13:54:29Z", "license": "Apache-2.0", "plat": "knowledge retrieval", "live": "Not checked (runs locally)"}, {"id": "skill:HiveForensics-AI/knolo-core/plugins/knolo/skills/knolo", "name": "knolo", "kind": "skill", "official": false, "desc": "Use verified Knolo Knowledge Images when a question depends on approved organizational knowledge.", "repo": "https://github.com/HiveForensics-AI/knolo-core/tree/HEAD/plugins/knolo/skills/knolo", "install": ["npx skills add HiveForensics-AI/knolo-core --skill knolo"], "stars": 66, "pushed": "2026-11-12T13:54:29Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:HiveForensics-AI/knolo-core/plugins/knolo-box/skills/knolo-box", "name": "knolo-box", "kind": "skill", "official": false, "desc": "Retrieve pinned notes, skills, memory, and session text from the local Knolo box images before answering from model memory. Use when the question is about this computer's Grok notes, skills, memory topics, or past sessions.", "repo": "https://github.com/HiveForensics-AI/knolo-core/tree/HEAD/plugins/knolo-box/skills/knolo-box", "install": ["npx skills add HiveForensics-AI/knolo-core --skill knolo-box"], "stars": 66, "pushed": "2026-11-12T13:54:29Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "skill:HiveForensics-AI/knolo-core/packages/openclaw/skills/knolo-grounding", "name": "knolo-grounding", "kind": "skill", "official": false, "desc": "Use verified Knolo Knowledge Images when a question depends on approved organizational knowledge.", "repo": "https://github.com/HiveForensics-AI/knolo-core/tree/HEAD/packages/openclaw/skills/knolo-grounding", "install": ["npx skills add HiveForensics-AI/knolo-core --skill knolo-grounding"], "stars": 66, "pushed": "2026-11-12T13:54:29Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.verygoodplugins/mcp-automem", "name": "MCP AutoMem", "kind": "mcp", "official": null, "desc": "Graph-vector memory for AI assistants using FalkorDB and Qdrant", "repo": "https://github.com/verygoodplugins/mcp-automem", "install": ["npm:@verygoodplugins/mcp-automem", "https://{endpoint}/mcp", "https://{endpoint}/mcp/sse"], "stars": 66, "pushed": "2026-11-13T00:43:43Z", "license": "MIT", "plat": "falkordb, qdrant", "live": "Not checked (runs locally)"}, {"id": "skill:HiveForensics-AI/knolo-core/examples/skills/research-and-cite", "name": "research-and-cite", "kind": "skill", "official": false, "desc": "Search a pinned Knowledge Image, cite the receipt, and package the findings.", "repo": "https://github.com/HiveForensics-AI/knolo-core/tree/HEAD/examples/skills/research-and-cite", "install": ["npx skills add HiveForensics-AI/knolo-core --skill research-and-cite"], "stars": 66, "pushed": "2026-11-12T13:54:29Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.oscardvs/zoteus", "name": "Zoteus", "kind": "mcp", "official": null, "desc": "Zotero MCP server for Claude and ChatGPT: search, citations, safe writes, PDF passages and pages.", "repo": "https://github.com/oscardvs/zoteus", "install": ["npm:@oscardvs/zoteus", "https://mcp.zoteus.com/mcp"], "stars": 65, "pushed": "2026-11-11T14:37:29Z", "license": "MIT", "plat": "zotero", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.Filippo-Venturini/ctxvault", "name": "CtxVault", "kind": "mcp", "official": null, "desc": "Local memory for AI agents: semantic, skill and episodic vaults as plain folders on disk.", "repo": "https://github.com/Filippo-Venturini/ctxvault", "install": ["pypi:ctxvault"], "stars": 63, "pushed": "2026-11-10T10:29:37Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.398894496-arch/krouter", "name": "KRouter", "kind": "mcp", "official": null, "desc": "Plain-Markdown memory for your AI: every answer cites its page, and it says when it does not know.", "repo": "https://github.com/398894496-arch/KRouter", "install": ["mcpb:https://github.com/398894496-arch/KRouter/releases/download/v2.1.2/KRouter.mcpb"], "stars": 63, "pushed": "2026-11-13T12:31:48Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.ZengLiangYi/chatcrystal", "name": "ChatCrystal", "kind": "mcp", "official": null, "desc": "Local-first AI PKM memory for coding conversations.", "repo": "https://github.com/ZengLiangYi/ChatCrystal", "install": ["npm:chatcrystal"], "stars": 62, "pushed": "2026-11-12T08:32:39Z", "license": "Apache-2.0", "plat": "", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.amanhij/zikkaron", "name": "Zikkaron", "kind": "mcp", "official": null, "desc": "Biologically-inspired persistent memory engine for Claude Code MCP agents", "repo": "https://github.com/amanhij/Zikkaron", "install": ["pypi:zikkaron"], "stars": 61, "pushed": "2026-04-01T17:06:01Z", "license": "MIT", "plat": "anthropic", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.JinyangWang27/people-context", "name": "io.github.JinyangWang27/people-context", "kind": "mcp", "official": null, "desc": "Local-first MCP server giving AI agents contextual knowledge about the people in your life", "repo": "https://github.com/JinyangWang27/people-context", "install": ["pypi:people-context"], "stars": 60, "pushed": "2026-11-13T05:17:17Z", "license": "MIT", "plat": "people", "live": "Not checked (runs locally)"}, {"id": "mcp:io.github.sfrangulov/minirag-mcp", "name": "io.github.sfrangulov/minirag-mcp", "kind": "mcp", "official": null, "desc": "Local-first RAG MCP server: hybrid search over a folder of your own documents", "repo": "https://github.com/sfrangulov/minirag-mcp", "install": ["pypi:minirag-mcp"], "stars": 60, "pushed": "2026-11-06T04:12:42Z", "license": "MIT", "plat": "", "live": "Not checked (runs locally)"}, {"id": 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