LangGraph helps you build AI agents that can remember information and work with multiple actors. It is used by big companies like LinkedIn and Uber for real world applications.
With LangGraph you create graphs that show exactly how your agent thinks and acts. You can add state management, loops, and human-in-the-loop checks. This makes your agent reliable and easy to debug.
The skill covers everything from basic graph setup to advanced patterns like the ReAct agent pattern. You will learn how to use tools, handle persistence, and manage errors.
Global
mkdir -p ~/.claude/skills/langgraphProject
mkdir -p .claude/skills/langgraphSource Repository
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