How do I install the Image To Code skill?

Run npx skillmds@latest add majiayu000/image-to-code in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Image To Code safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Image To Code?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Image To Code free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Image To Code?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Image To Code by majiayu000 — Agent Skill

Name: Image To Code
Rating: 4.2 (5 reviews)
Author: majiayu000

Image To Code

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.

majiayu000 Updated Sep 9, 2026 567 repo stars

File contents

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.

---name: image-to-codedescription: 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.--- # 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 1. **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). 2. **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. 3. **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. 4. **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. 5. **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.

Frequently asked questions