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This repository provides a structured guide for AI automation builders implementing agentic workflows. It focuses on the transition to LangGraph 1.0, detailing the use of state graphs and tool integrations to create more reliable agent behaviors.
The materials cover advanced orchestration patterns, including the implementation of agent middleware for PII screening and memory management through short-term and long-term storage.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
A model-provider API key to configure privately in `.env`
Use the dive-into-langgraph skill to draft a minimal LangGraph 1.0 ReAct agent for [describe the agent’s job]. Use [model provider and model] with [list any tools the agent may call]. Explain which provider variables I should add to `.env`, but do not include real credentials. Keep the first version to one agent and one simple test input, and do not run or deploy it.
Claude