SKILL.md packages that extend Claude Code, Cursor, Copilot, and other AI agents.
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cryptoskills
TypeScript framework and character system for building autonomous, multi-platform AI agents with onchain (Solana) integrations and RAG memory.

opengauss
Use DSPy to build declarative, modular LM pipelines, optimize prompts automatically, and assemble reliable RAG/agent systems with structured signatures and opti

cognee
A lightweight knowledge engine for agent memory: build searchable knowledge graphs from documents and use graph-aware search to give agents persistent, temporal

claude-mpm-skills
Techniques and patterns to compress multi-turn AI conversations (summaries, RAG, hierarchical summarization) to reduce token costs and preserve key information.

graphmemory
Embedded GraphRAG: DuckDB-backed hybrid graph + vector store for extracting, storing, deduping, and querying entity/relationship graphs with BM25, HNSW vectors,

claude-code-toolkit
Practical guide to building production Retrieval-Augmented Generation (RAG) systems: vector DB selection, chunking strategies, embedding model choices, retrieva

synalinks-skills
Keras-inspired framework for building structured, neuro-symbolic LLM programs with DataModel schemas, modular Programs, and training/optimization tools.

research-hub
Operate Zotero, Obsidian and NotebookLM research workflows via CLI, MCP, and dashboard to collect, organize, and produce literature reviews and AI briefs.

agent-skills
Comprehensive guidance for building, configuring, troubleshooting, and deploying Microsoft Foundry Classic agents and integrations.

skills
Local GraphRAG knowledge base backed by SQLite + MNN embeddings; provides CLI tools to build, note, query, and check status for an on-device RAG KB.

openviking
Provides automatic long-term memory capture and recall for OpenClaw agents: auto-capture, auto-recall, and memory management tools for more context-aware conver

claude-skill-registry
Agent orchestration library for conversational AI — coordinates LLM completions, memory, tool execution, and multi-turn flows; useful for building chat agents a

refly-skills
Perform semantic (meaning-based) search over documents or collections to find similar content and neural search results.

code-abyss
Reference guide for designing single- and multi-agent LLM systems, RAG pipelines, security hardening, and prompt engineering for production agents.

maestro
A knowledge gateway that routes coding questions to a focused skill search; call search_skills first to retrieve precise expertise from an indexed skill library

agent-skills-library
A comprehensive workflow bundle for designing, building, and operating LLM applications, RAG systems, AI agents, and ML pipelines.

awesome-omni-skills
Guides building and operating agent memory systems (semantic, episodic, procedural) with practical patterns for chunking, embeddings, retrieval, and decay.

claude-dev-suite
Comprehensive patterns for Retrieval-Augmented Generation, including chunking, hybrid search, re-ranking, and evaluation strategies.

awesome-skills-cn
Implement hybrid search by combining vector similarity and keyword-based retrieval for higher RAG recall.

feast
Comprehensive guide for managing AI/ML feature stores, including entity definition, feature retrieval, and RAG pipelines.

universal-examprep-skill
A structured, anti-hallucination study coach that transforms course materials into a Wiki and quiz bank for rapid exam preparation.

nebutra
AI-Native parser for PDF, Office and image files into clean Markdown with LaTeX and OCR.

brave-search-skills
High-performance web search and RAG grounding tool optimized for AI agents with token-budgeted content and custom ranking.

knowledge-pipline
Multimodal knowledge ingestion system that converts documents into a structured wiki with contradiction detection and knowledge graph visualization.

power-ranger-toolkit
Framework for designing and orchestrating multi-agent AI systems with lifecycle management and ChromaDB-backed knowledge harvesting.

engram-memory
Persistent semantic memory for AI agents using Qdrant and FastEmbed to store, search, and recall context across sessions.

Awesome Omni Skill
Framework for building RAG and document-centric LLM applications: ingestion connectors, vector indices, query engines and agent integrations for document Q&A an