Agent Designer - Multi-Agent System Architecture Toolkit

Design multi-agent system architectures and generate tool schemas.

1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/mcauduro0/Macro_Trading --skill agent-designer-multi-agent-system-architecture-toolkit-mcauduro0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Agent Designer - Multi-Agent System Architecture Toolkit
Source: https://github.com/mcauduro0/Macro_Trading/tree/main/.claude/skills/alireza-agent-designer
Command: npx skills add https://github.com/mcauduro0/Macro_Trading --skill agent-designer-multi-agent-system-architecture-toolkit-mcauduro0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agent_planner.py, agent_evaluator.py, tool_schema_generator.py, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the complexity of designing, building, and optimizing multi-agent systems by providing a structured toolkit for architecture, tool integration, and performance evaluation.

Core Features & Use Cases

  • Architecture Design: Automatically generates multi-agent system architectures based on requirements.
  • Tool Schema Generation: Creates structured schemas for AI tools compatible with major LLM platforms.
  • Performance Evaluation: Analyzes agent execution logs to identify bottlenecks and suggest optimizations.
  • Use Case: A team needs to build a complex AI system with multiple interacting agents. This Skill helps them define the optimal architecture, generate the necessary tool interfaces, and establish a framework for performance monitoring and improvement.

Quick Start

Use the Agent Designer skill to design a multi-agent system architecture based on the provided system requirements.

Frequently Asked Questions about Agent Designer - Multi-Agent System Architecture Toolkit

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

FAQPage Schema
How do I design architecture for a multi-agent system?

Design multi-agent system architecture by generating structured patterns for agent communication, tool integration, and orchestration directly from your system requirements to establish optimal agent interactions.

What is the best way to generate tool schemas for AI agents?

Generate AI tool schemas by creating structured definitions compatible with major LLM platforms, ensuring your multi-agent systems have standardized tool interfaces for reliable execution and evaluation.

How does agent evaluation work for multi-agent orchestration?

Agent evaluation works by analyzing execution logs to identify orchestration bottlenecks, measure multi-agent system performance, and suggest targeted optimizations for your architecture.

Can I use this toolkit to plan communication strategies for AI agents?

Yes, you can plan communication strategies by leveraging the agent planner to define structured architecture patterns, ensuring effective coordination and tool design across your multi-agent system.

What do I need to evaluate bottlenecks in multi-agent systems?

To evaluate multi-agent system bottlenecks, you need agent execution logs and defined tool schemas, which the evaluation framework analyzes to suggest performance optimizations and architecture improvements.