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loulanyueloulanyue/awesome-claude-notes/skills/design-system/SKILL.md

design-system

Skill272 starsChanged 7 months agoMITView on GitHub

Analyzes your codebase and generates a cohesive design system: Output: DESIGN.md + design-tokens.json + design-preview.html Scores your UI across 10 dimensions (0-10 each): Each dimension gets a score, specific examples, and a fix with exact file:line. Identifies generic AI-generated design patterns: Generate for a SaaS app: Audit existing UI: Check for AI slop:

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 165 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before a redesign — understand what you have

    line 7
  2. Distinctive:

    When the UI looks "off" but you can't pinpoint why

    line 8

“Common” is measured: kept by at least 6 in 10 of the 165 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Design System — Generate & Audit Visual Systems

When to Use

  • Starting a new project that needs a design system
  • Auditing an existing codebase for visual consistency
  • Before a redesign — understand what you have
  • When the UI looks "off" but you can't pinpoint why
  • Reviewing PRs that touch styling

How It Works

Mode 1: Generate Design System

Analyzes your codebase and generates a cohesive design system:

1. Scan CSS/Tailwind/styled-components for existing patterns
2. Extract: colors, typography, spacing, border-radius, shadows, breakpoints
3. Research 3 competitor sites for inspiration (via browser MCP)
4. Propose a design token set (JSON + CSS custom properties)
5. Generate DESIGN.md with rationale for each decision
6. Create an interactive HTML preview page (self-contained, no deps)

Output: DESIGN.md + design-tokens.json + design-preview.html

Mode 2: Visual Audit

Scores your UI across 10 dimensions (0-10 each):

1. Color consistency — are you using your palette or random hex values?
2. Typography hierarchy — clear h1 > h2 > h3 > body > caption?
3. Spacing rhythm — consistent scale (4px/8px/16px) or arbitrary?
4. Component consistency — do similar elements look similar?
5. Responsive behavior — fluid or broken at breakpoints?
6. Dark mode — complete or half-done?
7. Animation — purposeful or gratuitous?
8. Accessibility — contrast ratios, focus states, touch targets
9. Information density — cluttered or clean?
10. Polish — hover states, transitions, loading states, empty states

Each dimension gets a score, specific examples, and a fix with exact file:line.

Mode 3: AI Slop Detection

Identifies generic AI-generated design patterns:

- Gratuitous gradients on everything
- Purple-to-blue defaults
- "Glass morphism" cards with no purpose
- Rounded corners on things that shouldn't be rounded
- Excessive animations on scroll
- Generic hero with centered text over stock gradient
- Sans-serif font stack with no personality

Examples

Generate for a SaaS app:

/design-system generate --style minimal --palette earth-tones

Audit existing UI:

/design-system audit --url http://localhost:3000 --pages / /pricing /docs

Check for AI slop:

/design-system slop-check

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

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