LangGraph Skill

Expert assistance for building LangGraph agents in Python: stateful graphs, checkpointing, human-in-the-loop interrupts, streaming, fault tolerance, and deployment.

Two APIs to choose from:

• Graph API — StateGraph, nodes, edges: explicit DAG control flow
• Functional API — @entrypoint, @task: imperative Python-style workflows

Reference corpus: 30 LangGraph pages in references/llms-txt.md (5.4 MB) and references/llms.md (104 KB). For full content with code, use ../langchain-deepagents/references/llms-full.md.

When to Use This Skill