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langgraph-professional

Implement, refactor, and review LangGraph v1.x StateGraph workflows with typed state and safe persistence.

Updated Apr 26, 2026
Search Tags:#code review#refactoring#python#agent orchestration#langgraph#stategraph#checkpointer
One-click install
npx skills add https://github.com/Jin9/skillify-foundation --skill langgraph-professional-jin9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langgraph-professional
Source: https://github.com/Jin9/skillify-foundation/tree/main/treasury/langgraph-professional
Command: npx skills add https://github.com/Jin9/skillify-foundation --skill langgraph-professional-jin9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Building LangGraph v1.x workflows often leads to tangled orchestration, unsafe state mutation, deprecated API usage, and checkpoint compatibility risks. This Skill guides agents to implement, refactor, or review LangGraph code with clean state contracts, explicit graph wiring, and safe persistence practices. ## Core Features & Use Cases - Implementation Guidance: Design typed state with TypedDict or dataclasses, explicit reducers like add_messages, and single-purpose nodes that return partial state updates. - Refactoring & Review: Audit existing LangGraph repos for deprecated v0 APIs, in-place state mutation, provider coupling, and checkpointer safety, with prioritized findings. - Use Case: You inherit a repo using deprecated langgraph.prebuilt.create_react_agent with mutable shared state. Use this Skill to refactor it into a StateGraph with typed state, deterministic routing, and checkpoint-compatible node naming. ## Quick Start Refactor this LangGraph repo to follow LangGraph v1.x best practices and clean orchestration design.

Frequently Asked Questions about langgraph-professional

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement a LangGraph v1.x workflow with StateGraph?▼

Define typed state with TypedDict or dataclasses, add reducers like add_messages for accumulating channels, then build single-purpose nodes that return partial state updates. Wire nodes explicitly with START and END, compile the graph, and keep imports credential-free.

Should I use StateGraph or create_agent in LangGraph v1?▼

Use StateGraph when the workflow needs branching, durable state, interrupts, or multiple nodes. Use langchain.agents.create_agent for standard ReAct tool-calling loops. Avoid the deprecated langgraph.prebuilt.create_react_agent for new v1.x work.

Is LangGraph v1 backwards compatible with v0 code?▼

LangGraph v1 is largely backwards compatible but deprecates langgraph.prebuilt.create_react_agent in favor of langchain.agents.create_agent, and MessageGraph in favor of StateGraph with a messages key. Migration notes are in the official v1 guide.

Why do LangGraph checkpoints break after renaming nodes?▼

Checkpoints persist state per graph step keyed by node names and state keys. Renaming nodes or removing state keys can break replay, pending tasks, and state history for existing threads, so treat them as compatibility-sensitive surfaces.

What should not be stored in LangGraph state?▼

Do not store rendered prompts, secrets, API keys, live clients, closures, or filesystem handles in graph state. Keep state serializable and durable: facts, messages, decisions, identifiers, and small outputs only.

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