langgraph-docs
We need to translate the given text from English to French. The text describes an agent skill for accessing LangGraph documentation. We must preserve the name "langgraph-docs" but it's not in the text, so we don't include it. We translate the text inside <text>. No extra labels, no markdown, just the translation. The text: "Access LangGraph documentation to build stateful agents and multi-agent workflows. Fetches official LangGraph Python docs covering state machines, graph-based agent design, and human-in-the-loop patterns Prioritizes relevant documentation by query type: implementation guides for how-to questions, concept pages for theory, tutorials for end-to-end examples, and API references for technical details Automatically selects 2–4 most relevant documentation URLs and retrieves their content to answer..." We need to translate accurately, preserving technical terms like "LangGraph", "state machines", "graph-based agent design", "human-in-the-loop", "API references", etc. Also preserve numbers like "2–4". The ellipsis at the end should be kept. Let
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.