📝 Langchain Docs
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
npx playbooks add skill jokejason/local-context7 --skill langchain-docs
About Langchain Docs
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
The 26-word prompt provides structured documentation guidance — covering detailed methodology and consistent output formats. Install it in one command.
Use Cases
- Writing API references and README files
- Generating inline code comments and docstrings
- Creating architecture decision records (ADRs)
- Keeping docs in sync with code changes
Example Prompts
System Prompt (26 words)
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
Frequently Asked Questions
What is Langchain Docs?
Langchain Docs is a free documentation skill for AI coding agents. Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.. It provides a specialized system prompt that configures your agent with documentation expertise.
How do I use Langchain Docs with Claude Code?
Run npx playbooks add skill jokejason/local-context7 --skill langchain-docs in your terminal to install Langchain Docs into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Langchain Docs?
Langchain Docs is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Langchain Docs free to use?
Yes, Langchain Docs is completely free and open source. The full source is available on GitHub at https://github.com/jokejason/local-context7/tree/main/dotfiles/opencode/skills/langchain-docs. You only need a subscription to the AI agent you use it with.
