What is the primary benefit of the LangGraph Master skill?

It provides a structured, expert-level framework for designing and implementing complex AI agents using LangGraph's graph-based approach, ensuring reliable state management and architectural best practices.

Does this skill support multi-agent orchestration?

Yes, it includes specific patterns for Orchestrator-Worker, Evaluator-Optimizer, and subgraphs, enabling the creation of highly sophisticated multi-agent systems.

How does the 'langgraph-engineer' subagent help development?

The langgraph-engineer is a specialized subagent that implements specific functional modules (2-5 nodes) in parallel, significantly accelerating the development of large-scale agentic applications.

Can I implement human-in-the-loop workflows with this skill?

Absolutely. The skill includes comprehensive guides and implementation patterns for approval flows, streaming, and state persistence required for human-in-the-loop interactions.

LangGraph Master Agent Builder

Name: LangGraph Master Agent Builder
Author: hiroshi75

byhiroshi75

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数据科学与机器学习

Facilitates the end-to-end development of sophisticated AI agents and stateful workflows using the LangGraph framework.

LangGraph Master is a comprehensive toolkit for building complex, multi-agent AI systems with LangGraph. It provides structured guidance on state management, graph-based architecture patterns like orchestrator-worker and evaluator-optimizer, and advanced features such as human-in-the-loop approvals and long-term memory persistence. This skill streamlines the entire development lifecycle, from initial architecture planning to the implementation of functional modules via a specialized subagent, ensuring best practices and efficient agent orchestration for enterprise-grade AI applications.

主要功能

011 GitHub stars

02Advanced graph architecture patterns including Orchestrator-Worker and Evaluator-Optimizer

03Comprehensive memory management with checkpointers and long-term state persistence

04Human-in-the-loop integration for manual approval flows and intervention

05Specialized langgraph-engineer subagent for modular, parallel module implementation

06Curated reference for LLM model IDs across Google Gemini, Anthropic, and OpenAI

使用场景

01Building complex RAG systems with multi-step retrieval and reranking nodes

02Implementing reliable enterprise workflows requiring human approval and state recovery

03Developing autonomous multi-agent systems with hierarchical control and subgraphs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hiroshi75/ccplugins langgraph-master

For use in Claude.ai and ChatGPT

Download Skill