# Langgraph Docs

> Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.

- Skill: `langchain-ai/langgraph-docs` (Agent Skill)
- Install (CLI): `npx skillmds@latest add langchain-ai/langgraph-docs`
- Raw SKILL.md: https://api.skillmd.com/api/skills/langchain-ai/langgraph-docs/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: langchain-ai (https://skillmd.com/u/langchain-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/langchain-ai/langgraph-docs

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# 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.