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

Install Skill

Shared

Installs to .agents/skills, used by Codex, Amp, Warp, Cursor, OpenCode, and more.

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Personal

Available across projects.

$npx skills-installer add @langchain-samples/deepagent-coder/langgraph-docs --client shared
Project

Writes to .agents/skills.

$npx skills-installer add @langchain-samples/deepagent-coder/langgraph-docs -p --client shared
Note: Review the skill instructions before using it.

SKILL.md

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

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.