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LangChain — LLM Application Framework
An expert-level skill for building LLM-powered applications with LangChain — the most widely adopted LLM orchestration framework. LCEL chains, RAG pipelines, agents, LangSmith observability, and LangServe deployment.
Why Install This Skill
When your agent loads this skill, it becomes a LangChain expert who can:
- Build chains with LCEL —
prompt | model | parsercomposition with the Runnable interface - Create agents —
create_agentwith tools (not legacy AgentExecutor) - Implement RAG pipelines — document loading, splitting, embedding, retrieval, generation
- Add observability — LangSmith tracing for production debugging
- Deploy with LangServe — REST API deployment for production
What You Get
| Directory | Purpose |
|---|---|
SKILL.md |
Core principles, pipeline modes, where-to-start table, quick reference |
references/ |
LCEL reference, RAG strategies, agent patterns, LangSmith, LangServe, framework comparisons |
Framework Comparison
LangChain is the broadest LLM framework with 1000+ integrations. Its agents now run on LangGraph underneath. Use LangChain for rapid prototyping and broad integration support; drop to LangGraph when you need full state-machine control.
Requirements
Python 3.8+ with langchain, langchain-community, and provider-specific packages.
Quick Start
Start with the setup and first workflow in SKILL.md, then use the linked resources for the specific task you need to complete.
Triggers
Use this skill for the task types and keywords described in its SKILL.md description.