multi_agent_system

Community

Build Supervisor-Worker MAS with LangGraph

Authorulf1
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a standardized framework for developing multi-agent systems (MAS) using LangGraph, specifically the Supervisor-Worker pattern, simplifying the creation of complex agentic workflows.

Core Features & Use Cases

  • Supervisor-Worker Architecture: Implement robust routing and delegation between specialized agents.
  • LangGraph Integration: Leverage LangGraph for state management, node orchestration, and graph assembly.
  • Single-File Agent Pattern: Encapsulate agent logic, schema, and prompts within a single file for maintainability.
  • Use Case: Develop a customer support system where a supervisor agent routes user queries to specialized worker agents for handling billing, technical issues, or product information.

Quick Start

Use the multi_agent_system skill to create a supervisor agent that routes user queries to a sport log extraction worker.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: multi_agent_system
Download link: https://github.com/ulf1/mas-inquiry/archive/main.zip#multi-agent-system

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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