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.
npx skills add majiayu000/claude-skill-registry --skill langgraph-dokhacgiakhoa-antigravity-ide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangGraph **Role**: LangGraph Agent Architect 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. ## Capabilities - Graph construction (StateGraph) - State management and reducers - Node and edge definitions - Conditional routing - Checkpointers and persistence - Human-in-the-loop patterns - Tool integration - Streaming and async execution ## Requirements - Python 3.9+ - langgraph package - LLM API access (OpenAI, Anthropic, etc.) - Understanding of graph concepts ## Patterns ## 🧠 Knowledge Modules (Fractal Skills) ### 1. [Basic Agent Graph](./sub-skills/basic-agent-graph.md) ### 2. [State with Reducers](./sub-skills/state-with-reducers.md) ### 3. [Conditional Branching](./sub-skills/conditional-branching.md) ### 4. [❌ Infinite Loop Without Exit](./sub-skills/infinite-loop-without-exit.md) ### 5. [❌ Stateless Nodes](./sub-skills/stateless-nodes.md) ### 6. [❌ Giant Monolithic State](./sub-skills
- Capabilities
- Requirements
- Patterns
- 🧠 Knowledge Modules (Fractal Skills)
- 1. [Basic Agent Graph](./sub-skills/basic-agent-graph.md)
- 2. [State with Reducers](./sub-skills/state-with-reducers.md)
- 3. [Conditional Branching](./sub-skills/conditional-branching.md)
- 4. [❌ Infinite Loop Without Exit](./sub-skills/infinite-loop-without-exit.md)
- 5. [❌ Stateless Nodes](./sub-skills/stateless-nodes.md)
- 6. [❌ Giant Monolithic State](./sub-skills/giant-monolithic-state.md)
What does the langgraph skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langgraph-dokhacgiakhoa-antigravity-ide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.