Fetch and reference LangGraph Python documentation for building stateful agents.
npx skills add https://github.com/dotlab-hq/torque --skill langgraph-docs-dotlab-hq
Please help me install this Agent Skill. Skill: langgraph-docs Source: https://github.com/dotlab-hq/torque/tree/main/.agents/skills/langgraph-docs Command: npx skills add https://github.com/dotlab-hq/torque --skill langgraph-docs-dotlab-hq
LangGraph documentation can be scattered; langgraph-docs helps fetch and reference LangGraph Python docs 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.
Ask me to fetch LangGraph docs, select relevant pages, and apply guidance to your LangGraph workflow.
High-intent search queries and answers about installing and using this skill.
To build stateful agents with LangGraph, fetch the documentation index, select 2-4 relevant implementation URLs, and apply the guidance to structure your state machines. This Skill retrieves those specific Python docs to support your workflow setup.
Implementing multi-agent workflows in LangGraph requires referencing specific orchestration patterns. This Skill fetches end-to-end tutorials and core concept docs, selecting the most relevant pages to guide your agent orchestration architecture step by step.
To find LangGraph API details for agent orchestration, the Skill reads the documentation index and pulls targeted API URLs. It filters for orchestration specifics, fetches the content, and applies the reference directly to your implementation query.
Yes, you can get implementation guidance for human-in-the-loop patterns. The Skill fetches LangGraph documentation focusing on core concepts and tutorials, selecting relevant pages to help you configure state machines that pause for human input.
If fetching LangGraph documentation fails, the Skill applies retry logic to attempt the URL fetch again. This ensures you reliably retrieve the necessary Python docs to support building your stateful agents and multi-agent workflows.
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