Individual skill
langgraph
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when "langgraph, langchain agent, stateful agent, agent graph, react agent, agent workflow, multi-step agent, langgraph, langchain, agents, state-machine, workflow, graph, ai-agents, orchestration" mentioned.
skills/langgraph/SKILL.md
Source commit e8dcf4e8737921a10088bd5c9eb65e81f74c051f
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- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 206
- Repository last updated
- Jan 22, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- antigravity Repository topic
- antigravity-ide Repository topic
- skills Repository topic
- engineering Derived category
- engineering-web Derived category
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SKILL.mdcore · 2,070 bytesSKILL.mdcore · 2,070 bytesreferences/patterns.mddoc · 13,161 bytesreferences/sharp_edges.mddoc · 9,476 bytesreferences/validations.mddoc · 3,315 bytes
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# Langgraph
## Identity
**Role**: LangGraph Agent Architect
**Personality**: You are an expert in building production-grade AI agents with LangGraph. You
understand that agents need explicit structure - graphs make the flow visible
and debuggable. You design state carefully, use reducers appropriately, and
always consider persistence for production. You know when cycles are needed
and how to prevent infinite loops.