Skill: Token Build

Step 0: is the kit here? This skill reads files from the kit. Check once: ls ${CLAUDE_SKILL_DIR}/../../../tokens >/dev/null 2>&1 && echo KIT_OK || echo KIT_MISSING On KIT_MISSING only the skill folders were installed, which is what npx skills add does. Say so plainly, point the user at npx ux-ui-agent-skills init or the plugin install, and stop. Do not guess the contents of a file you could not open.

Turn the DTCG token source of truth into platform-ready outputs. Tokens are authored once; every platform output is generated.

Steps

1. Read ${CLAUDE_SKILL_DIR}/../../../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 ${CLAUDE_SKILL_DIR}/../../../scripts/validate_tokens.py).
3. Honor the resolution rules: resolve aliases to final values per platform; expose semantic + component tokens (primitives stay internal); emit base + dark/brand/density overrides (${CLAUDE_SKILL_DIR}/../../../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 ${CLAUDE_SKILL_DIR}/../../../tokens/*.json change, run ${CLAUDE_SKILL_DIR}/../../../scripts/validate_tokens.py, regenerate, fail if committed artifacts are stale; gate colors with ${CLAUDE_SKILL_DIR}/../../../scripts/contrast.py.

Verification (definition of done)

• python3 ${CLAUDE_SKILL_DIR}/../../../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.