# Langgraph Docs > Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance. - Skill: `tomevault-io/langgraph-docs-4` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/langgraph-docs-4` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/langgraph-docs-4/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Docs & Writing - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/langgraph-docs-4 --- # 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. --- > Source: [HyunjunJeon/Deepagent-research-context-engineering](https://github.com/HyunjunJeon/Deepagent-research-context-engineering) — distributed by [TomeVault](https://tomevault.io).