agent-designer

Design multi-agent system architectures with patterns, roles, and guardrails.

Updated Nov 28, 2025

Search Tags:#architecture #scalability #agent #patterns #multi-agent #orchestration #design-principles

Ready to run

npx skills add https://github.com/moshesham/Economic-Dashboard-API --skill agent-designer-moshesham

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-designer
Source: https://github.com/moshesham/Economic-Dashboard-API/tree/main/.github/skills/agent-designer
Command: npx skills add https://github.com/moshesham/Economic-Dashboard-API --skill agent-designer-moshesham

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agent design and orchestration for complex multi-agent systems, providing structured patterns, roles, and guardrails to accelerate robust architecture.

Core Features & Use Cases

Agent Architecture Patterns (Single Agent, Supervisor, Swarm, Hierarchical, Pipeline)
Role Definition Framework (Coordinator, Specialist, Interface, Monitor)
Guardrails, Safety, and Evaluation (Validation, logging, auditability)
Use Cases: prototyping, production deployments, research experiments

Quick Start

Provide an initial agent architecture for a given task and generate a starter implementation plan.

Frequently Asked Questions about agent-designer

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

FAQPage Schema

What are the main multi-agent architecture patterns for scalable AI systems?▼

Multi-agent architecture patterns include Single Agent, Supervisor, Swarm, Hierarchical, and Pipeline models. These patterns provide structured approaches for agent role specification, communication protocols, and orchestration to build scalable multi-agent systems across prototypes and production environments.

How do I design agent roles and communication protocols for a multi-agent system?▼

Design agent roles using a Role Definition Framework that specifies Coordinator, Specialist, Interface, and Monitor functions. Communication protocols are established alongside these roles to ensure structured interaction, safety guardrails, and orchestration across the multi-agent architecture.

When should I use a supervisor pattern versus a swarm pattern for agent orchestration?▼

Use a supervisor pattern for hierarchical task delegation with centralized control, or a swarm pattern for decentralized, self-organizing agent coordination. Pattern selection depends on scalability needs, task complexity, and the required level of safety guardrails and evaluation planning.

Can I apply these multi-agent design principles to both research experiments and production deployments?▼

Yes, these multi-agent design principles apply to software engineers, researchers, and product teams building scalable AI agent ecosystems. The architecture patterns, role definitions, and guardrails support both rapid prototyping research experiments and robust production deployments.

How do I implement safety guardrails and evaluation planning for multi-agent orchestration?▼

Implement safety guardrails through validation rules, logging, and auditability mechanisms integrated into the multi-agent architecture. Evaluation planning ensures monitoring and performance assessment across agent roles, communication protocols, and orchestration patterns during execution.

What is the best way to start building a multi-agent system architecture for a new task?▼

Provide an initial task description to generate a baseline agent architecture and starter implementation plan. This quick start approach applies architecture pattern selection, agent role specification, and tool design principles to establish the multi-agent system foundation.