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.