SKILL.md packages that extend Claude Code, Cursor, Copilot, and other AI agents.
Tags
opengauss
Use DSPy to build declarative, modular LM pipelines, optimize prompts automatically, and assemble reliable RAG/agent systems with structured signatures and opti
cryptoskills
TypeScript framework and character system for building autonomous, multi-platform AI agents with onchain (Solana) integrations and RAG memory.
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-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.
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
graphmemory
Embedded GraphRAG: DuckDB-backed hybrid graph + vector store for extracting, storing, deduping, and querying entity/relationship graphs with BM25, HNSW vectors,
refly-skills
Perform semantic (meaning-based) search over documents or collections to find similar content and neural search results.
research-hub
Operate Zotero, Obsidian and NotebookLM research workflows via CLI, MCP, and dashboard to collect, organize, and produce literature reviews and AI briefs.
claude-mpm-skills
Techniques and patterns to compress multi-turn AI conversations (summaries, RAG, hierarchical summarization) to reduce token costs and preserve key information.
