design

Coordinate architect and AI-engineer collaboration to define cloud-architecture patterns.

21|1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/unicorn-plugins/npd --skill design-unicorn-plugins
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design
Source: https://github.com/unicorn-plugins/npd/tree/main/skills/design
Command: npx skills add https://github.com/unicorn-plugins/npd --skill design-unicorn-plugins

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Architect and AI-engineer collaboration is often fragmented across steps, tools, and stakeholders, leading to misaligned decisions and slow delivery. This skill provides a structured, repeatable workflow that coordinates design activities, ensures traceability, and surfaces high-level architecture decisions for multi-service MVPs.

Core Features & Use Cases

  • Collaborative design: Jointly selects architecture patterns and defines logical/physical design with AI-assisted input.
  • End-to-end design outputs: Generates Mermaid diagrams, PlantUML, OpenAPI specs, and accompanying rationale for architecture decisions.
  • Stepwise workflow: Guides from Step 0 (planning) through Step 9 (AI service design) with configurable progression modes and review points.
  • Auditability & traceability: Records decisions and design rationale to CLAUDE.md for future reference and compliance.

Quick Start

Activate the design skill to begin Step 0 and configure project naming, cloud choice, and progression mode, then move to Step 1.

Frequently Asked Questions about design

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

FAQPage Schema
How do I generate OpenAPI specs and PlantUML diagrams for cloud architecture design?

You can generate OpenAPI specs and PlantUML diagrams for cloud architecture design by activating this skill, which orchestrates a stepwise workflow from pattern selection through sequence and API design to produce traceable design outputs.

What is the best way to coordinate architect and AI-engineer collaboration for system design?

Coordinating architect and AI-engineer collaboration for system design requires a structured workflow that applies deterministic prompts and standardized guides to jointly define cloud-architecture patterns across multiple services.

Can I use this workflow to design an end-to-end multi-service MVP architecture?

Yes, you can design an end-to-end multi-service MVP architecture using this workflow, which guides you from Step 0 planning through Step 9 AI service design with configurable progression modes and review points.

How does the design skill ensure traceability for architecture decisions?

Traceability for architecture decisions is ensured by recording design rationale and stepwise decisions into CLAUDE.md, providing auditability and compliance for future reference throughout the multi-service workflow.

Does the architecture workflow support Mermaid diagrams for sequence and data design?

Yes, the architecture workflow supports Mermaid diagrams for sequence and data design, generating them alongside OpenAPI specs and rationale to fully document end-to-end architecture decisions across multiple services.