Design system workflow

Skill ai-enhanced-engineer/aiee-skills/skills/design-system-workflow

Human-in-loop design system workflow using AI generation (Gemini) for brand identity exploration, dual-format token output (CSS + Swift), and WCAG contrast validation. Use when establishing a brand identity for a new product, generating design tokens for web and iOS, or validating a color palette against WCAG contrast requirements.From its SKILL.md

Install

npx -y skills add ai-enhanced-engineer/aiee-skills --skill design-system-workflow

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.9 KB, as published. Nobody here has run it

Design System Workflow

Human-in-loop workflow for AI-assisted brand identity exploration and design token generation.

When to Use

Creating brand identity for a new product
Exploring visual directions with AI generation (Gemini)
Producing design tokens for cross-platform projects (web + iOS)
Validating color palettes against WCAG accessibility requirements

For CSS-only design systems, see frontend-design-systems. For SwiftUI color/font patterns, see swift-swiftui (Asset Management section).

Three-Phase Workflow

AI-Assisted Direction Exploration — Batch Gemini prompts across multiple directions using natural language color descriptions. Sequential prompt-per-artifact generation with founder review between each.
Founder Selection — Consolidated HTML review page with annotations and decision boxes. Generation of next phase gates on approval.
Dual-Format Token Production — Single design direction produces CSS custom properties (web) and Asset Catalog + Swift extensions (iOS/watchOS). The design direction is the source of truth; each format is a translation.

WCAG Contrast Validation

Specifying WCAG contrast ratios as explicit acceptance criteria (4.5:1 body text AA, 3:1 large text/UI AA) catches failures before merge. ~25% of AI-generated colors typically fail on first pass. A complete brand identity exploration typically requires ~15 crafted prompts (logo, palette, screens, app icon, watchOS).

Strategic Pivot Copy Audit

When product positioning pivots, stale claims often persist in invisible locations — meta tags, OG descriptions, JSON-LD structured data, alt text, and app store descriptions. Auditing all copy (not just visible text) after a pivot prevents search engines and social previews from showing outdated messaging.

See reference.md for the pivot copy audit checklist.

Anti-Patterns

Anti-Pattern	Pattern
CSS tokens as sole output for iOS/SwiftUI apps	Dual-format: CSS for web + Asset Catalog + Swift extensions for native
Hex codes in Gemini/Imagen prompts	Natural language only ("sage green", "deep navy") — hex renders as literal text
Batch generation without founder gates	Sequential prompt-per-artifact with review between each
Skipping dark mode variants	Dark variants needed when any app context forces dark mode
Updating visible copy but leaving meta/OG/JSON-LD stale	Include meta tags, OG tags, and structured data in copy audit scope

See reference.md for detailed phase descriptions, pre-implementation validation patterns, and SVG hand-coding guidance.