Development

langchain

Helps build and compare LangChain-based LLM applications, including LCEL chains, RAG pipelines, tool-using agents, framework integrations, deployment, and observability.

★ 88 GitHub Stars
94 Quality score
17 Files

About this Skill

Build LLM applications with LangChain. Use when working with LangChain or comparing LLM application frameworks. Do not use this skill for unrelated requests; route to the nearest named specialist.

Use cases

  • Build LCEL chains
  • Implement RAG pipelines
  • Create tool-using agents
  • Migrate from AgentExecutor to create_agent
  • Deploy and observe LLM applications

Features

  • LangChain v1 architecture guidance
  • LCEL, RAG, and agent pattern references
  • Python templates for chains, RAG, agents, and deployment
  • Integration and troubleshooting guidance
  • Setup verification script

Requirements

  • Python
  • LangChain

Supported Agents

Not specified

Skill files

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