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Langgraph · Agent Development · Documentation / AGENT SKILL
langgraph-docs
0
Retrieve LangGraph Python documentation for stateful agents, orchestration, and human-in-the-loop workflows.
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
Understand the trade-offs.
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Original instructions from the publisher’s SKILL.md
# 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.