mastering-langgraph-agent-skill

Build stateful AI agents and agentic workflows with LangGraph in Python. Use when asked to "build a LangGraph agent", "create a stateful workflow", "add persistence to an agent", "implement human-in-the-loop approval", "debug a LangGraph application", or "create a multi-agent system". Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, HITL oversight, and production monitoring. Includes StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling patterns.

// tip: Run this command in your terminal to install the skill