agent-design

Guide AI agent architecture design with tool design and multi-agent coordination.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/fauzanazz/claude-skills --skill agent-design-fauzanazz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-design
Source: https://github.com/fauzanazz/claude-skills/tree/main/agent-design
Command: npx skills add https://github.com/fauzanazz/claude-skills --skill agent-design-fauzanazz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill offers practical guidance for designing and evaluating AI agent architectures, streamlining the process of creating robust and efficient agents.

Core Features & Use Cases

  • Design Review: Provides a framework for analyzing and improving existing agent architectures.
  • New Agent Creation: Helps create new agents with an emphasis on model-fit and tool design.
  • Multi-Agent Coordination: Offers strategies for efficient multi-agent collaboration.

Quick Start

To start designing an agent, use the skill 'agent-design' with the prompt "How do I design an AI agent for the task of X?".

Frequently Asked Questions about agent-design

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

FAQPage Schema
How do I design an AI agent architecture for a specific task using the Claude API?

To design an AI agent architecture, you need a framework for model-fit, tool design, and progressive disclosure. This Skill provides guidelines to analyze requirements and create robust agents optimized for the Claude API.

What is progressive disclosure in AI agent design?

Progressive disclosure in AI agent design is a technique to manage context and tool complexity by revealing information only as needed. This Skill provides guidelines to implement it for optimizing agent behavior.

What's the best way to coordinate multiple AI agents efficiently?

The best way to coordinate multiple AI agents is using structured strategies for collaboration. This Skill offers specific techniques for multi-agent coordination to ensure efficient task delegation and execution.

Can I use this to review and improve my existing agent architectures?

Yes, you can review existing agent architectures. This Skill provides a design review framework to analyze your current agent setup and offers techniques to improve tool design and model-fit.

Does this guidance work for agents not built on the Claude API?

While the guidelines focus on Claude API agents, the core principles of tool design, progressive disclosure, and multi-agent coordination are broadly applicable to evaluating and optimizing AI agent behavior across different platforms.

What are the limitations of using progressive disclosure for agent tool design?

A limitation of progressive disclosure in tool design is the potential for context fragmentation if not managed carefully. This Skill provides guidelines to balance information availability with agent reasoning limits.