recipe-agent-team-architecture-design

Generate architecture design artifacts for agent-team implementation workflows.

2|Updated May 10, 2026
One-click install
npx skills add https://github.com/tae2089/agent-team --skill recipe-agent-team-architecture-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: recipe-agent-team-architecture-design
Source: https://github.com/tae2089/agent-team/tree/main/skills/recipe-agent-team-architecture-design
Command: npx skills add https://github.com/tae2089/agent-team --skill recipe-agent-team-architecture-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Produces structured architecture design artifacts before coding to align teams, clarify interfaces, and bound implementation tasks in agent-team workflows.

Core Features & Use Cases

  • Candidate discovery: identify and compare architecture directions (A, B, C) and capture tradeoffs.
  • Technical design: convert chosen candidate into a coding-ready design with module interfaces, data contracts, and migration plan.
  • Artifact delivery: generate design outputs such as architecture-candidates.md, technical-design.md, and implementation-tasks.json for downstream agents.

Quick Start

Run the architecture design recipe to generate a complete set of artifacts for your project.

Frequently Asked Questions about recipe-agent-team-architecture-design

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

FAQPage Schema
How do I plan agent-team architecture before coding?

Planning agent-team architecture upfront requires producing design artifacts such as architecture-candidates.md and technical-design.md to define module boundaries, task contracts, and interfaces before coding starts.

What is the best way to compare architecture design directions for multi-agent systems?

You compare architecture directions through candidate discovery, identifying options like A, B, and C, then capturing their tradeoffs in an architecture-candidates.md artifact to evaluate each design path.

How do I generate implementation tasks from a technical design?

You generate implementation tasks by converting the chosen architecture candidate into a coding-ready design, which outputs an implementation-tasks.json file containing bounded development actions with clear data contracts.

When do I need architecture design artifacts for agent workflows?

You need architecture design artifacts when planning module boundaries, interfaces, and task contracts in agent-team workflows to ensure aligned implementation and clarify downstream development scope.

Does architecture design for agent teams capture risks and open questions?

Yes, architecture design for agent teams captures risks and questions in dedicated artifacts alongside technical-design.md and implementation-tasks.json outputs to ensure comprehensive upfront planning.

Can I use this approach for any multi-agent workflow planning?

This approach applies to any agent-team workflow planning involving module boundaries, interfaces, task contracts, and candidate evaluation across design directions, regardless of the specific implementation platform.