ai-llm-skills-guide
Guide for AI Agents and LLM development skills including RAG, multi-agent systems, prompt engineering, memory systems, and context engineering.
npx skills add majiayu000/claude-skill-registry --skill ai-llm-skills-gmh5225-awesome-skills-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Agents & LLM Development Skills ## Scope Use this skill when: - Finding or adding AI/LLM related skills - Understanding agent architecture patterns - Working with RAG, embeddings, or vector databases - Implementing multi-agent systems ## Key Skill Categories ### Agent Frameworks | Framework | Description | |-----------|-------------| | LangGraph | Stateful, multi-actor AI applications | | CrewAI | Role-based multi-agent orchestration | | AutoGen | Microsoft's multi-agent framework | ### RAG (Retrieval-Augmented Generation) | Component | Skills | |-----------|--------| | Embeddings | Text embedding models, chunking strategies | | Vector DBs | Pinecone, Weaviate, Chroma, Qdrant | | Retrieval | Hybrid search, reranking, context optimization | ### Observability & Tracing | Tool | Purpose | |------|---------| | Langfuse | Open-source LLM observability | | LangSmith | LangChain tracing and debugging | | Weights & Biases | ML experiment tracking | ### Memory Systems | Type | Description | |------|-------------| | Short-term | Conversation buffer, sliding window | | Long-term | Vector store persistence, entity memory | | Episodic | Experience-based memory recall | ## Context Engineeri
- Scope
- Key Skill Categories
- Agent Frameworks
- RAG (Retrieval-Augmented Generation)
- Observability & Tracing
- Memory Systems
- Context Engineering Skills
- Core Concepts
- Multi-Agent Patterns
- Where to Add in README
- Key Repositories
- Best Practices
- Full Resource List
What does the ai-llm-skills-guide skill do?
Guide for AI Agents and LLM development skills including RAG, multi-agent systems, prompt engineering, memory systems, and context engineering.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ai-llm-skills-gmh5225-awesome-skills-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.