Image To Code Agent Skill

Turn a reference image, screenshot, or mockup into token-driven, accessible code — infer the design system from the reference (palette, type scale, spacing, radius, layout archetype), map it to the 3-tier tokens, rebuild it, then verify with the kit's gates. Use when the user provides a design/screenshot and wants matching UI code.

676 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

482

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/plugin87/ux-ui-agent-skills --skill image-to-code

The instruction itself

3 sections, as written by the author

Skill: Image to Code

Reconstruct a design from a visual reference as a real design system, not a one-off copy. Match the *system* (color/type/spacing language), never lift copyrighted imagery or brand assets.

Steps

Read the reference like a designer. Infer and write down:
Palette — 1 dominant surface family, text colors, 1 primary action + at most 1 accent (sample the hues; don't guess random hex).
Type — family feel (geometric/grotesk/serif), the scale jumps, display vs. body contrast, weights.
Spacing & density — base unit, section rhythm, card padding; airy vs. compact.
Radius & depth — radius language (sharp/soft/pill), shadow vs. hairline separation.
Layout archetype + sequence — full-bleed hero / asymmetric split / bento / editorial stack (taste/design-taste.md → Variance Mandate).
Anchor to a known system if it's close — browse taste/aesthetic-systems.md / python3 scripts/design_systems.py search <term> and adopt that recipe to stabilize decisions.
Build the token theme from the inferred values → 3-tier DTCG (design-tokens skill); generate a single theme.css. Verify every color pair with scripts/contrast.py / scripts/validate_contrast.py (light + dark) — a sampled brand color that fails AA gets adjusted; taste never overrides POUR.
Rebuild layout + components token-driven via frameworks/adapter-protocol.md + components/*: one shared primitive layer, all 8 states, a11y wired, no emoji (lucide), single theme. Apply taste (design-taste.md) so it doesn't regress to generic.
Verify against the reference — render and screenshot it, compare side-by-side to the reference; run node scripts/measure_render.mjs, lint_hardcodes.py, taste_audit.mjs, and npm run verify.

Verification (definition of done)

npm run verify is 100% (tokens resolve, contrast AA light+dark, no hardcodes/emoji, real-render WCAG).
The rebuilt UI uses ONE inferred token theme — no per-section palettes.
A screenshot of the result visibly matches the reference's design language.

> Honest limit: this matches the design system, not a pixel-perfect copy. Do not reproduce the reference's photographs, logos, or copyrighted copy — substitute your own or generic placeholders.

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How to use it

Copy the folder

Take plugin87/image-to-code from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.