About langgraph-docs
A documentation-guidance skill for LangGraph Python questions. It directs the workflow to find relevant pages in the documentation index, fetch them, and use them to provide implementation or conceptual guidance.
Key features
- 01Fetches the LangGraph documentation index
- 02Selects relevant pages by question
- 03Prioritizes guides, concepts, tutorials, and references
- 04Uses fetched documentation to guide responses
Use cases
- 01Answer LangGraph implementation questions
- 02Explain LangGraph concepts from documentation
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/langgraph-docsin Claude Code to confirm it loaded.
Details
From the project READMElanggraph-docs
Overview
This skill explains how to access LangGraph Python documentation to help answer questions and guide implementation.
Instructions
1. Fetch the Documentation Index
Use the fetch_url tool to read the following URL: https://docs.langchain.com/llms.txt
This provides a structured list of all available documentation with descriptions.
2. Select Relevant Documentation
Based on the question, identify 2-4 most relevant documentation URLs from the index. Prioritize:
- Specific how-to guides for implementation questions
- Core concept pages for understanding questions
- Tutorials for end-to-end examples
- Reference docs for API details
3. Fetch Selected Documentation
Use the fetch_url tool to read the selected documentation URLs.
4. Provide Accurate Guidance
After reading the documentation, complete the users request.