gpt-taste
gpt taste
mockup-to-code
Use when converting UI mockups, screenshots, Figma/Sketch designs, wireframes, or building component libraries from design systems into production-ready code
Full skill instructions
Convert UI mockups, screenshots, and designs into production-ready code.
Analyze this UI mockup and extract:
1. LAYOUT STRUCTURE
- Grid system (columns, gutters, margins)
- Component hierarchy
- Container widths
2. VISUAL SPECIFICATIONS
- Colors (hex values)
- Typography (sizes, weights)
- Spacing (padding, margins, gaps)
- Border radius, shadows
3. COMPONENTS IDENTIFIED
- List each distinct component
- Note variations
- Identify reusable patterns
4. RESPONSIVE CONSIDERATIONS
- How might this adapt to mobile?
- Collapsible sections
- Priority content
Output as structured JSON.
## Component: [Name]
**Priority:** High/Medium/Low
**Complexity:** Simple/Medium/Complex
**Reusability:** One-off/Reusable/Design System
**Props Interface:**
- variant: 'primary' | 'secondary'
- size: 'sm' | 'md' | 'lg'
- disabled?: boolean
**Accessibility:**
- Keyboard navigation
- ARIA labels
- Focus management
Implement with comparison loop:
Compare mockup vs implementation:
1. What differences do you see?
2. What's missing?
3. Spacing/sizing adjustments needed?
4. Color accuracy?
5. Typography match?
Prioritize fixes by visual impact.
Convert to React with Tailwind CSS.
Requirements:
- Functional components with TypeScript
- Tailwind utility classes
- Extract repeated patterns
- Semantic HTML
- Responsive classes (sm:, md:, lg:)
Convert to Vue 3 component.
Requirements:
- Composition API with <script setup>
- Scoped styles
- Props with TypeScript
Convert to semantic HTML and CSS.
Requirements:
- Semantic HTML5 elements
- CSS Grid/Flexbox layout
- CSS custom properties
Save implementations to .opencode/memory/design/implementations/
| Need | Skill |
|---|---|
| Aesthetic quality | frontend-design |
| Accessibility | accessibility-audit |
| Design tokens | design-system-audit |
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