Does it require any external API keys?

No, it uses the standard fetch_url tool to access public documentation without requiring additional credentials.

Does this work for both Python and JS versions of LangGraph?

This specific skill is optimized for the LangGraph Python documentation index to provide the most accurate implementation details for Python developers.

Can it help with multi-agent orchestration?

Yes, it is specifically designed to retrieve LangGraph patterns for managing state, nodes, and edges in complex agentic workflows.

How does this skill stay up to date?

It fetches the live documentation index (llms.txt) directly from LangChain's servers every time a query is made, ensuring the information is never stale.

LangGraph Documentation Assistant

Name: LangGraph Documentation Assistant
Author: Microck

byMicrock

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学習とドキュメンテーション

Accesses real-time LangGraph documentation to provide accurate guidance on building stateful, multi-agent AI applications.

概要

The langgraph-docs skill enables Claude to act as a specialized expert on the LangGraph framework by dynamically fetching and analyzing the latest documentation directly from the source. Instead of relying on static training data, it retrieves a structured documentation index to locate specific how-to guides, core concepts, and API references. This ensures that users receive implementation advice, architectural patterns, and code snippets that are consistent with the most current version of LangGraph for complex agentic workflows.

主な機能

Intelligent selection of relevant tutorials and how-to guides
Automated retrieval of the LangChain/LangGraph llms.txt index
Live API reference fetching for precise implementation detail
Support for complex multi-agent orchestration patterns
Context-aware documentation mapping based on user queries
81 GitHub stars

ユースケース

Onboarding developers to LangGraph patterns via live tutorial retrieval
Troubleshooting specific LangGraph errors using the latest official documentation
Architecting stateful LLM applications with nodes, edges, and conditional routing

概要

主な機能

Intelligent selection of relevant tutorials and how-to guides
Automated retrieval of the LangChain/LangGraph llms.txt index
Live API reference fetching for precise implementation detail
Support for complex multi-agent orchestration patterns
Context-aware documentation mapping based on user queries
81 GitHub stars

ユースケース

Onboarding developers to LangGraph patterns via live tutorial retrieval
Troubleshooting specific LangGraph errors using the latest official documentation
Architecting stateful LLM applications with nodes, edges, and conditional routing