Is this suitable for production-grade AI applications?

Absolutely. It focuses on production-ready principles such as horizontal scaling, fault tolerance, idempotency, and circuit breakers to prevent cascading failures.

Can this skill help with agent safety and compliance?

Yes, it includes detailed guidelines for implementing input/output validation, content filtering, rate limiting, and human-in-the-loop guardrails to ensure safe AI operations.

What architecture patterns does Agent Designer support?

It supports various patterns including Single Agent, Supervisor, Swarm, Hierarchical, and Pipeline architectures to suit different task complexities and organizational needs.

How does it help in evaluating agent performance?

It provides structured frameworks for measuring task completion rates, output quality, token consumption costs, and latency distribution across complex agent workflows.

Agent Designer

Name: Agent Designer
Author: alirezarezvani

byalirezarezvani

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5,225

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数据科学与机器学习

Architects and evaluates robust multi-agent systems using industry-standard patterns and sophisticated orchestration strategies.

Agent Designer provides a comprehensive framework for building sophisticated multi-agent systems, covering everything from architectural patterns like Supervisor and Swarm to tool design principles and safety guardrails. It enables developers to define clear agent roles, implement reliable communication protocols, and establish rigorous evaluation metrics for AI-driven workflows. Whether you're building a simple sequential pipeline or a complex hierarchical swarm, this skill offers the structural guidance needed to ensure scalability, observability, and performance in production AI environments.

主要功能

01Comprehensive evaluation frameworks for performance, quality, and cost

02Structured communication patterns for shared state and messaging

035,225 GitHub stars

04Tool design principles for robust error handling and idempotency

05Detailed agent role specification and archetype definition framework

06Multi-agent architecture patterns including Supervisor, Swarm, and Pipeline

使用场景

01Designing a hierarchical AI system for complex enterprise task automation

02Implementing a peer-to-peer agent swarm for distributed problem solving

03Establishing safety guardrails and human-in-the-loop workflows for AI agents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add alirezarezvani/claude-skills agent-designer

For use in Claude.ai and ChatGPT

Download Skill