token-build
Set up or run the token build pipeline — transform the DTCG tokens/*.json (source of truth) into platform artifacts (CSS variables, Tailwind @theme, JS/TS, iOS Asset Catalog, Android, Compose) with Style Dictionary / Tokens Studio / W3C DTCG export. Use when the user wants to gen
Install
npx skills add https://github.com/plugin87/ux-ui-agent-skills/tree/main/.claude/skills/token-build
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install plugin87-ux-ui-agent-skills@llmmart
git clone https://github.com/plugin87/ux-ui-agent-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole plugin87/ux-ui-agent-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Skill: Token Build
Turn the DTCG token source of truth into platform-ready outputs. Tokens are authored once; every platform output is generated.
Steps
- Read
workflows/token-build.md(architecture, tool options, resolution rules, output targets, CI). - Pick the tool: Style Dictionary (multi-platform, the default), Tokens Studio (Figma-owned tokens — pairs with
figma-integration), W3C DTCG export, or a small custom script (model onscripts/validate_tokens.py). - Honor the resolution rules: resolve aliases to final values per platform; expose semantic + component tokens (primitives stay internal); emit base + dark/brand/density overrides (
tokens/theming.json) as deltas only; format by$type. - Generate the requested target(s): CSS
:rootvars, Tailwind v4@theme, typed JS/TS, iOS Asset Catalog +Color.DS/Spacing, Androidcolors.xml/Compose theme. - Wire CI: on
tokens/*.jsonchange, runscripts/validate_tokens.py, regenerate, fail if committed artifacts are stale; gate colors withscripts/contrast.py.
Verification (definition of done)
python3 scripts/validate_tokens.pypasses (no unresolved aliases).- Regenerating produces no diff vs. committed artifacts.
- Dark/brand/density outputs contain only deltas, not full duplicates.
Files (ux-ui-agent-skills)
-
SKILL.md 1.7 KB
--- name: token-build description: Set up or run the token build pipeline — transform the DTCG tokens/*.json (source of truth) into platform artifacts (CSS variables, Tailwind @theme, JS/TS, iOS Asset Catalog, Android, Compose) with Style Dictionary / Tokens Studio / W3C DTCG export. Use when the user wants to generate platform theme files from tokens, wire token CI, or multi-platform token output. invocation: model --- # Skill: Token Build Turn the DTCG token source of truth into platform-ready outputs. Tokens are authored once; every platform output is generated. ## Steps 1. Read `workflows/token-build.md` (architecture, tool options, resolution rules, output targets, CI). 2. Pick the tool: **Style Dictionary** (multi-platform, the default), **Tokens Studio** (Figma-owned tokens — pairs with `figma-integration`), W3C DTCG export, or a small custom script (model on `scripts/validate_tokens.py`). 3. Honor the resolution rules: resolve aliases to final values per platform; expose semantic + component tokens (primitives stay internal); emit base + dark/brand/density overrides (`tokens/theming.json`) as deltas only; format by `$type`. 4. Generate the requested target(s): CSS `:root` vars, Tailwind v4 `@theme`, typed JS/TS, iOS Asset Catalog + `Color.DS`/`Spacing`, Android `colors.xml`/Compose theme. 5. Wire CI: on `tokens/*.json` change, run `scripts/validate_tokens.py`, regenerate, fail if committed artifacts are stale; gate colors with `scripts/contrast.py`. ## Verification (definition of done) - `python3 scripts/validate_tokens.py` passes (no unresolved aliases). - Regenerating produces no diff vs. committed artifacts. - Dark/brand/density outputs contain only deltas, not full duplicates.
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