What is the LangGraph Docs skill?

It is a specialized capability for Claude Code that allows it to fetch and read the latest LangGraph documentation to help you build and debug AI agents.

How does this skill find information?

The skill accesses the structured llms.txt index on the LangChain documentation site to identify and fetch the most relevant pages for your specific query.

Can it help with specific API errors?

Yes, by fetching the latest API reference docs, it can provide precise syntax, parameter details, and troubleshooting advice for LangGraph implementation.

Is the information always up to date?

Yes, the skill fetches documentation directly from the live source during your session, ensuring it uses the most recent version of the LangGraph library.

LangGraph Documentation Assistant

Name: LangGraph Documentation Assistant
Author: Microck

byMicrock

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학습 및 문서화

Retrieves and parses real-time LangGraph documentation to provide accurate implementation guidance and troubleshooting for AI agents.

소개

This skill empowers developers to build sophisticated AI agents by providing Claude with direct access to the latest LangGraph Python documentation. It automates the process of searching through documentation indexes, identifying relevant how-to guides or API references, and fetching specific content to ensure that Claude's responses are based on the most up-to-date best practices and architectural patterns within the LangChain ecosystem. Whether you are building stateful multi-agent systems or debugging complex graph logic, this skill ensures your AI assistant has the context needed for production-grade development.

주요 기능

Targeted fetching of API reference materials
Contextual filtering of documentation to minimize token usage
Automated retrieval of core LangGraph concepts and tutorials
Support for identifying complex implementation patterns
81 GitHub stars
Real-time documentation indexing via llms.txt

사용 사례

Building stateful multi-agent systems with complex node logic
Debugging specific LangGraph nodes, edges, or state management issues
Implementing persistence and human-in-the-loop workflows

소개

주요 기능

Targeted fetching of API reference materials
Contextual filtering of documentation to minimize token usage
Automated retrieval of core LangGraph concepts and tutorials
Support for identifying complex implementation patterns
81 GitHub stars
Real-time documentation indexing via llms.txt

사용 사례

Building stateful multi-agent systems with complex node logic
Debugging specific LangGraph nodes, edges, or state management issues
Implementing persistence and human-in-the-loop workflows