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langgraph-docs

langgraph-docs

github.com/langchain-aiAgent workflows30.7k4.5k installsUpdated today
Repository

About langgraph-docs

langgraph-docs is a documentation research skill for answering questions about LangGraph. It finds relevant guides, concepts, tutorials, or API references in LangChain’s documentation index, then fetches selected pages to inform a response.

Key features

  1. 01Fetches the documentation index
  2. 02Selects relevant documentation pages
  3. 03Fetches guides, tutorials, and references
  4. 04Retries failed page fetches once

Use cases

  1. 01Finding LangGraph implementation guidance
  2. 02Answering questions about LangGraph concepts
  3. 03Looking up LangGraph API details

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/langchain-ai/deepagents --skill langgraph-docs

After installing, type/langgraph-docsin Claude Code to confirm it loaded.

Details

From the project README

langgraph-docs

Workflow

1. Fetch the Documentation Index

Use fetch_url to read: https://docs.langchain.com/llms.txt

This returns a structured list of all available documentation with descriptions.

2. Select Relevant Documentation

Identify 2-4 most relevant URLs from the index. Prioritize:

  • Implementation questions — specific how-to guides
  • Conceptual questions — core concept pages
  • End-to-end examples — tutorials
  • API details — reference docs
3. Fetch and Apply

Use fetch_url on the selected URLs, then complete the user's request using the documentation content.

If fetch_url fails or returns empty content, retry once. If it fails again, inform the user and suggest checking https://langchain-ai.github.io/langgraph/ directly.

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