langgraph-docs

作者： langchain-ai

访问LangGraph文档，构建有状态代理和多代理工作流。获取官方LangGraph Python文档，涵盖状态机、基于图的代理设计以及人机协同模式。根据查询类型优先提供相关文档：实现指南解答操作问题，概念页面讲解理论，教程提供端到端示例，API参考提供技术细节。自动选择2–4个最相关的文档URL并检索其内容以回答...

npx skills add https://github.com/langchain-ai/deepagents --skill langgraph-docs

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langgraph-docs

Workflow

1. Fetch the Documentation Index

Use fetch_url to read: https://docs.langchain.com/llms.txt

This returns a structured list of all available documentation with descriptions.

2. Select Relevant Documentation

Identify 2-4 most relevant URLs from the index. Prioritize:

Implementation questions — specific how-to guides
Conceptual questions — core concept pages
End-to-end examples — tutorials
API details — reference docs

3. Fetch and Apply

Use fetch_url on the selected URLs, then complete the user's request using the documentation content.

If fetch_url fails or returns empty content, retry once. If it fails again, inform the user and suggest checking https://langchain-ai.github.io/langgraph/ directly.