langgraph-docs
Originally fromlangchain-ai/deepagents
SKILL.md
langgraph-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.
Weekly Installs
33
Repository
langchain-ai/de…agentsjsGitHub Stars
790
First Seen
Jan 25, 2026
Security Audits
Installed on
gemini-cli33
opencode32
codex31
kimi-cli30
amp29
github-copilot29