Agent skill · software engineering · sickn33
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.
Why this skill is useful
Adds executable patterns and frameworks for building complex AI applications that the AI cannot generate on its own.
What it needs
Requires langgraph, python installed locally. Requires anthropic, openai account access. About 1k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
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. 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. Expertise Graph topology design State schema patterns Conditional branching Persistence strategies Human-in-the-loop Tool integration Error handling and recovery Detailed Guide Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely. Prerequisites 0: Python proficiency 1: LLM API basics 2: Async programming concepts 3: Graph theory fundamentals Required skills: Python 3.9+, langgraph package, LLM API access (OpenAI, Anthropic, etc.), Understanding of graph concepts When to Use User mentions or implies: langgraph User mentions or implies: langchain agent User mentions or implies: stateful agent User mentions or implies: agent graph User mentions or implies: react agent User mentions or implies: agent workflow User mentions or implies: multi-step agent Limitations Use this skill only when the task clearly matches the scope described above. Do not treat the output as a substitute for environment-specific validation, testing, or expert review. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/langgraph--f68441