langgraph-docs
Fetches and references LangGraph Python documentation to build stateful agents
by langchain-aiFree
Description
langgraph-docs is an agent skill from the langchain-ai deepagents project, listed on skills.sh. It fetches and refers to the LangGraph Python documentation, so an agent can build stateful agents, multi-agent workflows and human-in-the-loop patterns from the current docs. The workflow has three steps. The agent first reads the documentation index from the LangChain docs site, which lists every page with a short description. It then picks two to four of the most relevant pages, favouring how-to guides for implementation questions, core concept pages for conceptual questions, tutorials for end-to-end examples and reference pages for API details. Finally it fetches those pages and applies what they say. The approach means the agent works from the documentation as it is now, rather than from what it remembers about an older version of the library. It suits developers building agents with LangGraph in Python who want accurate, current guidance for each question.…
Highlights
- Reads the LangGraph documentation index
- Selects two to four relevant pages
- Covers multi-agent and human-in-the-loop
- Works from the current documentation
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langgraph-docs FAQ
What does the langgraph-docs skill do?
It fetches the LangGraph Python documentation and applies the relevant pages to the task.
How do I install it?
Run: npx skills add https://github.com/langchain-ai/deepagents --skill langgraph-docs
Where does it get the docs?
From the LangChain docs index at docs.langchain.com/llms.txt, which lists the available pages.
How many pages does it read?
The skill selects two to four of the most relevant pages for each question.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best langgraph-docs alternatives?
Popular alternatives to langgraph-docs include langchain-architecture, chief-of-staff and claude-handoff. See all langgraph-docs alternatives