Breakthrough Method for Agile Ai Driven Development
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Mårten Angner 47600dfb27 Spacing as first-class objects: tokens, patterns, and the gap is alive
Spacing gets the same treatment as typography — named tokens, a baseline
(space-md), and optical adjustments using token math. But the real shift:
spacing between objects is now a first-class object with its own ID in
page specs, organized in a Patterns section in the design system.

Key additions:
- Spacing Scale: 9 tokens (space-3xs to space-3xl), bring-your-own supported
- Type Scale: 9 tokens (text-3xs to text-3xl), semantic/visual separation
- Optical adjustments: token math (space-lg - space-3xs) with annotations
- Spacing objects in page specs: ↕ `id` — token, including space-zero
- Patterns section: organized by spacing value, context added on violation
- Agent reflection behavior: observe and reflect, don't interrogate
- Design loop: pattern recognition emerges from real design decisions

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 23:46:42 +01:00
.github/workflows Fix publish workflow: rename to .yaml, fix empty mapping 2026-02-22 15:19:44 +01:00
_wds/docs/design-system Add IDE selection and optional learning material 2026-02-24 11:59:36 +01:00
docs Remove Mimir orchestrator — three agents remain (Saga, Freya, Idunn) 2026-02-26 08:30:01 +01:00
src Spacing as first-class objects: tokens, patterns, and the gap is alive 2026-02-26 23:46:42 +01:00
test Updating to match the official BMad repo 2026-01-23 13:10:39 +01:00
tools Rename learn-wds to learn, update for workshop refactor 2026-02-26 08:19:12 +01:00
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README.md

Whiteport Design Studio (WDS)

npx whiteport-design-studio install

Strategic design methodology for creating products users love, powered by AI agents.

npm version License: MIT


What is WDS?

WDS is a structured design methodology that uses AI agents to guide you through product design, from initial strategy to developer-ready specifications.

  • Strategic foundation - Connect every design decision to business goals and user psychology
  • Complete specifications - Generate developer-ready page specs with all details defined
  • AI-powered workflow - Three specialized agents guide you through each phase
  • IDE-native - Works inside your AI coding tool (Claude Code, Cursor, Windsurf, and 16 more)

Agents

WDS uses three specialized AI agents (the Norse Pantheon):

Agent Role What they do
Saga (Analyst) Business & Product Analyst Product Brief (Phase 1), Trigger Mapping (Phase 2). Start here.
Freya (Designer) UX/UI Designer UX Scenarios (Phase 3), UX Design (Phase 4), Agentic Development (Phase 5), Asset Generation (Phase 6), Design System (Phase 7)
Idunn (Product Manager) Technical Coordinator Platform Requirements (Phase 1), Design Handover (Phase 4), Product Evolution (Phase 8)

Activating an agent

Tell your AI IDE:

Read and activate _wds/agents/saga-analyst.md

Saga will greet you by name and guide you through creating your Product Brief.


Design Phases

Phase Focus Agent Output folder
0. Alignment & Signoff Stakeholder alignment before starting Saga
1. Product Brief Vision, positioning, success criteria Saga A-Product-Brief/
2. Trigger Mapping User psychology, business goals Saga B-Trigger-Map/
3. UX Scenarios Scenario outlines via 8-question dialog Freya C-UX-Scenarios/
4. UX Design Page specifications, interactions Freya D-UX-Design/
5. Agentic Development AI-assisted development & testing Freya G-Product-Development/
6. Asset Generation Visual and text assets from specs Freya
7. Design System Component library, design tokens Freya D-Design-System/
8. Product Evolution Brownfield improvements Idunn

Output folders are created inside your configured design artifacts directory (default: design-artifacts/).


The 8-Question Scenario Dialog

Phase 3 uses a structured conversation to define each scenario. The agent walks through 8 strategic questions — one at a time — building a complete scenario outline:

  1. What transaction do we need to get really right?
  2. Which business goal does it serve?
  3. Which user, and in what real-life situation?
  4. What do they want and fear going into this?
  5. What device are they on?
  6. What's the natural starting point?
  7. What's the best possible outcome — for both sides?
  8. What's the shortest path through the site?

A transaction is any meaningful user journey — purchasing, booking, researching content page-by-page, comparing options, or any interaction where the user moves through the site with intent.

Two modes: Conversation (agent asks, you answer) or Suggest (agent proposes all 8, you review).


Project Structure

After installation, your project will have:

your-project/
├── _wds/                    # WDS system files
│   ├── agents/              # Compiled agent files (.md)
│   ├── workflows/           # Phase workflows
│   ├── data/                # Standards, frameworks, agent guides
│   ├── gems/                # Reusable prompt components
│   ├── templates/           # Document templates
│   ├── config.yaml          # Your project configuration
│   └── module.yaml          # Module definition
├── _wds-learn/              # Learning material (optional, safe to delete)
│   ├── getting-started/
│   ├── learn/
│   ├── method/
│   ├── models/
│   └── tools/
├── design-artifacts/        # Design output (created by agents)
│   ├── A-Product-Brief/
│   ├── B-Trigger-Map/
│   ├── C-UX-Scenarios/
│   ├── D-Design-System/
│   ├── E-PRD/
│   ├── F-Testing/
│   └── G-Product-Development/
└── .claude/instructions.md  # IDE configuration (varies by IDE)

Getting Started

  1. Install WDS in your project directory:

    npx whiteport-design-studio install
    
  2. Open your project in your AI IDE (Claude Code, Cursor, Windsurf, etc.)

  3. Activate Saga — tell the AI:

    Read and activate _wds/agents/saga-analyst.md
    
  4. Follow Saga's guidance — Saga will greet you by name and walk you through creating your Product Brief. When you're ready for design work, switch to Freya.


Supported IDEs

WDS works with any AI-powered IDE or coding tool:

Atlassian Rovo Dev, Auggie CLI, Claude Code, Cline, Codex, Crush, Cursor, Gemini CLI, GitHub Copilot, Google Antigravity, iFlow CLI, Kilo Code, Kiro CLI, OpenCode, Qwen Code, Roo Code, Trae, VS Code, Windsurf

The installer configures your selected IDE(s) automatically.


Tools Integration

WDS integrates with design and prototyping tools:

  • Figma MCP - Bidirectional sync between AI-generated designs and Figma
  • html.to.design - Import HTML prototypes into Figma
  • NanoBanana/Eira - AI-powered image generation for brand exploration
  • Excalidraw - Sketch analysis and wireframing

Learning Material

The installer can optionally include learning and reference material in _wds-learn/. This includes:

  • Getting Started - Quick onboarding guides
  • Course modules - Complete 12-module training course (Module 00-13)
  • Method guides - Deep-dive into each design phase
  • Models - Strategic frameworks (Golden Circle, Customer Awareness, etc.)
  • Tool guides - Integration guides for Figma, Git, and more

You can safely delete _wds-learn/ at any time without affecting the agents or workflows.


Contributing

See CONTRIBUTING.md for guidelines.

License

MIT - see LICENSE for details.


Built by Whiteport Collective