langgraph-docs
作者: langchain-ai
存取 LangGraph 文件以建構具狀態代理與多代理工作流程。擷取官方 LangGraph Python 文件,涵蓋狀態機、基於圖形的代理設計及人機協作模式。根據查詢類型優先提供相關文件:實作指南用於操作問題、概念頁面用於理論、教學用於端到端範例、API 參考用於技術細節。自動選取 2 至 4 個最相關的文件 URL 並擷取內容以回答...
npx skills add https://github.com/langchain-ai/deepagents --skill langgraph-docslanggraph-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.