langgraph-docs

Fetch and reference LangGraph Python documentation for building stateful agents.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/coinvest518/deepagents-LANGCLAW --skill langgraph-docs-coinvest518
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langgraph-docs
Source: https://github.com/coinvest518/deepagents-LANGCLAW/tree/main/libs/cli/examples/skills/langgraph-docs
Command: npx skills add https://github.com/coinvest518/deepagents-LANGCLAW --skill langgraph-docs-coinvest518

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LangGraph documentation is scattered across sources; langgraph-docs curates and references the LangGraph Python docs to help build stateful agents, multi-agent workflows, and human-in-the-loop patterns.

Core Features & Use Cases

  • Fetches the LangGraph documentation index, enabling quick access to relevant guides.
  • Selects 2-4 most relevant URLs (implementation guides, conceptual pages, end-to-end tutorials, API references).
  • Fetches and applies the selected docs to answer user questions, with retry guidance on failures.

Quick Start

Use the langgraph-docs skill to fetch and reference LangGraph documentation to guide your LangGraph questions.

Frequently Asked Questions about langgraph-docs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find relevant LangGraph documentation for building stateful agents?

Fetch the LangGraph documentation index to locate 2-4 relevant URLs covering implementation guides, conceptual pages, and API references, then apply the selected docs to build stateful agents.

What is the best way to reference LangGraph API docs for multi-agent orchestration?

Fetch the LangGraph documentation index, select relevant API references and end-to-end tutorials for multi-agent orchestration, then apply the retrieved content to resolve your orchestration questions.

Can I use LangGraph documentation to implement human-in-the-loop patterns?

Yes, LangGraph documentation includes guides for human-in-the-loop patterns. Fetch the documentation index, select relevant conceptual and implementation pages, then apply the content to build your state machine workflow.

Does the langgraph-docs skill work for questions about state machines and graph agents?

Yes, it applies to questions about state machines, graph agents, and agent orchestration by fetching and referencing LangGraph Python documentation to guide stateful agent workflow development.

What should I do if fetching LangGraph documentation fails during my workflow?

If fetching LangGraph documentation fails, use the built-in retry guidance to re-fetch the selected documentation URLs and apply the relevant guides to resolve your query.

Why do I need to fetch the LangGraph documentation index before selecting guides?

Fetching the documentation index first enables quick access to relevant guides, allowing you to select 2-4 most relevant URLs for implementation guides and API references tailored to your agent workflow.