/design-system
- 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
$ npx -y skills add loulanyue/awesome-claude-notes --skill design-system --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/design-system
Context preview
The summary Claude sees to decide when to auto-load this skill.
- 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
SKILL.md
design-system.SKILL.mdDesign 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
Read more
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
Community-maintained distribution of reusable AI coding agents, commands, skills, hooks, and cross-harness workflows.
Repo: loulanyue/awesome-claude-notes
Other skills on awesome-claude-notes.
- /agent-eval
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Open skill - /agent-harness-construction
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
Open skill - /agentic-engineering
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Open skill - /ai-first-engineering
Engineering operating model for teams where AI agents generate a large share of implementation output.
Open skill - /ai-regression-testing
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
Open skill - /android-clean-architecture
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
Open skill

