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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.
demo.mp4
cyber.mp4
classic.mp4
- Node.js environment installed
- Ability to run
npxcommands
npx skills add zanwei/design-dna# Cursor only, non-interactive, global install
npx skills add zanwei/design-dna -a cursor -g -y
# Claude Code only
npx skills add zanwei/design-dna -a claude-code -g -ygit clone https://github.com/zanwei/design-dna.git
npx skills add ./design-dna -ynpx skills add zanwei/design-dna --list| Dimension | Role |
|---|---|
| Design System | Measurable tokens: color, typography, spacing, layout, shape, elevation, motion, components |
| Design Style | Qualitative perception: mood, visual language, composition, imagery, interaction feel, brand voice |
| Visual Effects | Beyond plain CSS: Canvas, WebGL, 3D, particles, shaders, scroll-driven motion, cursor effects, SVG animation, glassmorphism, etc. |
The skill drives a three-phase workflow:
- Structure — Surface the full schema and field meanings (see
references/schema.md). - Analyze — From screenshots, images, or URLs, produce a complete JSON profile (every field filled; conflicts noted).
- Generate — Given DNA JSON plus content, implement the design (default: self-contained HTML/CSS/JS), following
references/generation-guide.md.
Phases can be used alone or chained (e.g. Analyze → Generate).
Pipeline at a glance (Mermaid renders on GitHub):
flowchart LR
A["Reference designs<br/>Screenshots · URLs · images<br/><br/>Any design you admire"]
B["Design DNA JSON<br/>Quantified spec<br/><br/>Structured profile"]
C["Final output<br/>Faithful implementation<br/><br/>Production-ready UI"]
A -->|"Analyze — extract every visual property"| B
B -->|"Generate — apply DNA to your content"| C
B -.-> D["Save · reuse · version control"]
Step 1 — Curate references. Collect screenshots, images, or live URLs of designs whose visual identity you want to capture. Multiple references can be combined; the skill identifies dominant patterns and notes variants.
Step 2 — Extract DNA. Feed the references to the agent. It inspects every visual property across all three dimensions and outputs a complete, quantified Design DNA JSON — no empty fields, no guesswork. This JSON becomes a portable, reusable design specification.
Step 3 — Generate from DNA. Provide the DNA JSON together with your own content. The agent produces implementations that faithfully reproduce the original design language while adapting to your material.
The DNA JSON is the key artifact. Once extracted, it can be committed to version control, shared across teams, reused across projects, and iteratively refined — turning subjective "make it look like that site" into a precise, reproducible specification that any agent can consume.
Tip
Refining visual richness. If the first pass still feels visually thin or under-detailed next to your references, run a deliberate polish iteration: re-attach the same URLs or screenshots. This narrows the gap between a workable draft and a reference-faithful, visually rich result without starting over.
Prompt: Against the reference, audit hierarchy, ornamentation, typographic rhythm, motion, materiality, and overall UI—then merge your conclusions back into the current implementation.
Follows the Agent Skills specification. Installable via skills CLI to all supported agents including Cursor, Claude Code, Codex, GitHub Copilot, and 39 more.
Issues and pull requests are welcome. For substantive behavior changes, update SKILL.md and any affected files under references/ so the skill stays internally consistent.
MIT