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design-dna-extractor

Extract and apply visual design identity as machine-readable Design DNA JSON (tokens, style, effects) from reference UIs

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Quellinformationen

Repository
reason-machines/design-skills
Letzte Quellaktivität
17. Mai 2026 um 08:44
Erkannte Sprache von SKILL.md
Englisch
Sterne
4
Forks
0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
design-dna-extractor
description
Extract and apply visual design identity as machine-readable Design DNA JSON (tokens, style, effects) from reference UIs
triggers
["extract design DNA from this screenshot","analyze the visual design system of this website","generate UI matching this design DNA","create design tokens from these references","turn this design into structured JSON","apply this design DNA to my content","analyze design style and effects from images","structure this UI's design system"]
# design-dna-extractor > Skill by [ara.so](https://ara.so) — Design Skills collection. An agent skill for extracting, structuring, and applying visual design identity as machine-readable "Design DNA" across three dimensions: **design tokens**, **qualitative style**, and **visual effects**. ## What It Does **design-dna** turns reference UIs (screenshots, images, URLs) into a complete, quantified JSON specification covering: | Dimension | Coverage | |-----------|----------| | **Design System** | Colors, typography, spacing, layout, shapes, elevation, motion, components | | **Design Style** | Mood, visual language, composition, imagery, interaction feel, brand voice | | **Visual Effects** | Canvas, WebGL, 3D, particles, shaders, scroll effects, cursor interactions, SVG animation | The skill drives a **three-phase workflow**: 1. **Structure** — Surface the full schema and field meanings 2. **Analyze** — From references, produce complete DNA JSON (every field filled) 3. **Generate** — Given DNA JSON + content, implement the design ## Installation ### Quick Install (Recommended) ```bash npx skills add zanwei/design-dna ``` ### Install to Specific Agent ```bash # Cursor only npx skills add zanwei/design-dna -a cursor -g -y # Claude Code only npx skills add zanwei/design-dna -a claude-code -g -y ``` ### Install from Local Clone ```bash git clone https://github.com/zanwei/design-dna.git npx skills add ./design-dna -y ``` ### List Available Skills ```bash npx skills add zanwei/design-dna --list ``` ## Three-Phase Workflow ### Phase 1: Structure **When to use:** Before analyzing references, to understand the complete schema. **User request:** > "Show me the Design DNA schema structure" **Agent action:** - Read `references/schema.md` - Surface all available fields across design-system, design-style, and visual-effects - Explain what each field captures **Output:** Full field inventory with descriptions, helping you understand what will be extracted. --- ### Phase 2: Analyze **When to use:** You have reference designs (screenshots, images, URLs) to extract DNA from. **User request:** > "Analyze the design DNA from this screenshot" > "Extract design tokens from https://example.com" **Agent action:** - Inspect all visual properties across the three dimensions - Fill **every field** in the DNA JSON (no empty fields) - Note conflicts or variants across multiple references - Output complete, quantified Design DNA JSON **Example output structure:** ```json { "design-system": { "color": { "palette": { "primary": ["#1a1a1a", "#333333"], "secondary": ["#0066cc", "#0052a3"], "accent": ["#ff6b35"], "neutral": ["#f5f5f5", "#e0e0e0", "#cccccc"], "semantic": { "success": "#10b981", "warning": "#f59e0b", "error": "#ef4444", "info": "#3b82f6" } }, "roles": { "background": "#ffffff", "surface": "#f5f5f5", "text-primary": "#1a1a1a", "text-secondary": "#666666", "border": "#e0e0e0" } }, "typography": { "font-families": { "primary": "Inter, system-ui, sans-serif", "secondary": "Georgia, serif", "monospace": "JetBrains Mono, monospace" }, "scale": { "xs": "0.75rem", "sm": "0.875rem", "base": "1rem", "lg": "1.125rem", "xl": "1.25rem", "2xl": "1.5rem", "3xl": "1.875rem", "4xl": "2.25rem" }, "weights": [400, 500, 600, 700], "line-heights": { "tight": 1.25, "normal": 1.5, "relaxed": 1.75 }, "letter-spacing": { "tight": "-0.025em", "normal": "0", "wide": "0.025em" } }, "spacing": { "scale": [0, 4, 8, 12, 16, 24, 32, 48, 64, 96, 128], "unit": "px", "layout-grid": 8 }, "layout": { "grid": { "columns": 12, "gutter": 24, "margin": 16 }, "containers": { "sm": 640, "md": 768, "lg": 1024, "xl": 1280, "2xl": 1536 }, "breakpoints": { "mobile": 640, "tablet": 768, "desktop": 1024, "wide": 1280 } }, "shape": { "border-radius": { "none": 0, "sm": 4, "md": 8, "lg": 12, "xl": 16, "full": 9999 }, "border-width": [1, 2, 4], "border-style": "solid" }, "elevation": { "shadows": { "sm": "0 1px 2px 0 rgba(0,0,0,0.05)", "md": "0 4px 6px -1px rgba(0,0,0,0.1)", "lg": "0 10px 15px -3px rgba(0,0,0,0.1)", "xl": "0 20px 25px -5px rgba(0,0,0,0.1)" }, "z-index": { "dropdown": 1000, "modal": 2000, "tooltip": 3000 } }, "motion": { "durations": { "fast": 150, "normal": 250, "slow": 350 }, "easings": { "default": "cubic-bezier(0.4, 0, 0.2, 1)", "in": "cubic-bezier(0.4, 0, 1, 1)", "out": "cubic-bezier(0, 0, 0.2, 1)" } } }, "design-style": { "mood": { "primary-adjectives": ["minimal", "clean", "modern"], "energy-level": "calm", "formality": "professional", "playfulness": "subtle" }, "visual-language": { "aesthetic": "modernist", "ornamentation": "minimal", "symmetry": "asymmetric-balanced", "density": "spacious" }, "composition": { "hierarchy-method": "scale-and-weight", "layout-pattern": "grid-based", "whitespace-philosophy": "generous", "alignment-preference": "left-aligned" }, "imagery": { "photography-style": "clean-product-shots", "illustration-style": "none", "iconography": "outline-icons", "image-treatment": "subtle-border" }, "interaction-feel": { "responsiveness": "immediate", "feedback-style": "subtle-animation", "hover-behavior": "color-shift", "transition-character": "smooth" }, "brand-voice": { "tone": "confident", "personality": "authoritative", "copywriting-style": "concise", "messaging-approach": "benefit-focused" } }, "visual-effects": { "canvas-webgl": { "used": false, "techniques": [] }, "particles": { "used": false }, "shaders": { "used": false }, "scroll-effects": { "parallax": true, "reveal-animations": true, "progress-indicators": false }, "cursor-effects": { "custom-cursor": false, "hover-effects": "scale-and-shadow" }, "svg-animation": { "used": true, "techniques": ["line-drawing", "morph"] }, "glassmorphism": { "used": false }, "gradients": { "types": ["linear"], "complexity": "simple" } } } ``` **Key principles:** - **Complete coverage** — Every field is filled; no blanks or TODOs - **Quantified values** — Specific numbers, hex codes, font names - **Conflict documentation** — If multiple references disagree, note variants - **Cross-reference schema** — Use `references/schema.md` to understand field semantics --- ### Phase 3: Generate **When to use:** You have Design DNA JSON and want to implement matching UI with your own content. **User request:** > "Generate a landing page using this Design DNA and my product copy" > "Apply this design DNA to create a dashboard" **Agent action:** - Read `references/generation-guide.md` for implementation principles - Apply all DNA fields (design-system, design-style, visual-effects) to your content - Default output: self-contained HTML/CSS/JS - Follow semantic HTML, responsive patterns, accessibility **Example prompt:** ``` Generate a product landing page using this Design DNA: [paste DNA JSON] Content: - Hero headline: "Ship faster with AI-powered code reviews" - Subheadline: "Catch bugs before deployment" - CTA: "Start free trial" - Features: Speed, Accuracy, Integration ``` **Agent generates:** ```html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Product Landing</title> <style> /* Design System: Color */ :root { --primary-100: #1a1a1a; --primary-200: #333333; --secondary-100: #0066cc; --accent-100: #ff6b35; --neutral-100: #f5f5f5; --text-primary: #1a1a1a; --text-secondary: #666666; /* Typography */ --font-primary: Inter, system-ui, sans-serif; --font-secondary: Georgia, serif; /* Spacing */ --space-4: 16px; --space-6: 24px; --space-8: 32px; --space-12: 48px; /* Shape */ --radius-md: 8px; --radius-lg: 12px; /* Motion */ --duration-normal: 250ms; --easing-default: cubic-bezier(0.4, 0, 0.2, 1); } * { margin: 0; padding: 0; box-sizing: border-box; } body { font-family: var(--font-primary); color: var(--text-primary); background: #ffffff; line-height: 1.5; } /* Design Style: Spacious composition, generous whitespace */ .container { max-width: 1280px; margin: 0 auto; padding: 0 var(--space-4); } .hero { min-height: 80vh; display: flex; flex-direction: column; justify-content: center; padding: var(--space-12) 0;
Auf GitHub ansehen
Diese SKILL.md ist sehr gross, daher zeigt SkillsMP hier nur den ersten Abschnitt. Auf GitHub ansehen