Individual skill

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.

skills-imported/image-to-code/SKILL.md

Read pinned source

Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 8, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
54
Repository last updated
Oct 10, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# 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.