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Design tokens

Skill plugin87/ux-ui-agent-skills/.claude/skills/design-tokens

Generate, extend, or audit design tokens in DTCG format with the 3-tier architecture (primitive → semantic → component). Use when the user wants a color palette, type scale, spacing/shadow/radius/motion tokens, multi-brand theming, or wants to validate token files. Covers colors, typography, spacing, shadows, borders, breakpoints, motion, gradients, opacity, blur, sizing, states, theming.From its SKILL.md

Install
npx -y skills add plugin87/ux-ui-agent-skills --skill design-tokens

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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SKILL.md

1.5 KB, 300 tokens by cl100k_base, as published. Nobody here has run it

Skill: Design Tokens

Produce and maintain DTCG ($type/$value) tokens following the project's 3-tier system.

Steps

  1. Read CLAUDE.md → "Token System" + "Color/Typography/Spacing Guidelines" for the rules (4px base, Major Third scale, OKLCH palette generation, dark-mode-at-semantic-layer).
  2. Read the relevant existing files in tokens/ to match structure: colors.json, typography.json, spacing.json, shadows.json, borders.json, breakpoints.json, motion.json, gradients.json, opacity.json, blur.json, sizing.json, states.json, theming.json.
  3. Generate/extend tokens:
    • Primitives = raw values (never used directly). Semantic = purpose aliases. Component = component-scoped.
    • New palettes: generate 11 OKLCH shades; verify 500 ≥ 4.5:1 on white (text), 600 ≥ 3:1 (UI) using the a11y-audit skill / scripts/contrast.py.
    • Multi-brand/density → theming.json.
  4. Validate: run python3 scripts/validate_tokens.py (JSON validity + alias resolution).

Output

DTCG JSON. Preserve $description on every token. Reference, never hardcode.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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