Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Create distinctive, production-grade web interfaces with intentional aesthetic direction. Avoids generic AI aesthetics (centered layouts, Inter/Arial, purple gradients, uniform corners). Use for UI components, dashboards, landing pages, React/HTML/CSS layouts where design quality matters.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
"Every design should feel specifically crafted for its context, never cookie-cutter."
This skill enables creation of distinctive, production-grade frontend interfaces that avoid the generic AI-generated aesthetic that has become ubiquitous. The goal is intentional design that reflects the specific context, brand, and purpose of the interface.
Generic AI-generated interfaces share predictable patterns that signal laziness:
Overused patterns to AVOID:
What to do instead:
/* High contrast, raw, confident */
:root {
--bg: #ffffff;
--text: #000000;
--accent: #ff0000;
--border: 2px solid #000000;
--radius: 0px;
}
.card {
border: var(--border);
padding: 2rem;
background: var(--bg);
}
Typography: Bold grotesques (Neue Haas Grotesk, Aktiv Grotesk, GT America) Motion: Sharp, instant transitions — no easing Layout: Rigid grid, full bleed, stark whitespace
/* Rich, layered, expressive */
:root {
--bg: #0a0a0f;
--text: #e8e3d9;
--accent: #c9a84c;
--accent-2: #7b5ea7;
}
.hero {
position: relative;
overflow: hidden;
background: radial-gradient(ellipse at 30% 50%, #1a0a2e, transparent);
}
Typography: Serif headlines (Playfair Display, Canela, GT Sectra) + tight monospace for data Motion: Cinematic reveals, staggered content entry, parallax depth Layout: Overlapping elements, diagonal breaks, generous negative space
/* Organic, crafted, human */
:root {
--bg: #faf8f4;
--text: #2c2416;
--accent: #c17b4a;
--accent-muted: #e8d5c0;
}
.surface {
background: var(--bg);
border: 1px solid rgba(0, 0, 0, 0.08);
box-shadow:
0 1px 3px rgba(0, 0, 0, 0.06),
0 4px 16px rgba(0, 0, 0, 0.04);
}
Typography: Humanist serifs (Lora, Freight Text) + friendly sans (Sora, Plus Jakarta Sans) Motion: Gentle, spring-based animations Layout: Asymmetric columns, hand-crafted feel
/* Dense, precise, functional */
:root {
--bg: #0d1117;
--text: #c9d1d9;
--accent: #58a6ff;
--grid: rgba(255, 255, 255, 0.04);
--mono: 'JetBrains Mono', 'Fira Code', monospace;
}
.data-panel {
background: rgba(13, 17, 23, 0.95);
border: 1px solid rgba(48, 54, 61, 0.8);
font-family: var(--mono);
}
Typography: Monospace throughout, tight line height, numerical data in tabular figures Motion: Real-time updates, pulsing activity indicators Layout: Dense grids, information hierarchy via size/weight/color
Don't reach for Inter, Arial, or system-ui. Choose fonts that carry meaning:
| Intention | Good Choices | Avoid |
|---|---|---|
| Premium / Editorial | Canela, GT Sectra, Freight Text | Georgia |
| Technical / Precise | JetBrains Mono, IBM Plex Mono | Courier |
| Modern / Professional | GT America, Neue Haas Grotesk | Inter, Helvetica |
| Warm / Approachable | Sora, Plus Jakarta Sans, Nunito | Roboto, Open Sans |
| Bold / Display | Clash Display, Cabinet Grotesk | Futura |
Use a clear hierarchy:
/* Display: hero headlines */
.text-display {
font-size: clamp(3rem, 8vw, 7rem);
font-weight: 900;
line-height: 0.95;
}
/* Heading: section titles */
.text-h1 {
font-size: clamp(2rem, 4vw, 3.5rem);
font-weight: 700;
line-height: 1.1;
}
/* Body: readable text */
.text-body {
font-size: 1rem;
line-height: 1.65;
letter-spacing: 0.01em;
}
/* Caption: secondary info */
.text-caption {
font-size: 0.8125rem;
line-height: 1.4;
letter-spacing: 0.04em;
text-transform: uppercase;
}
:root {
/* Dominant: 60% of UI */
--color-base: #f7f4ef;
--color-surface: #ffffff;
/* Secondary: 30% of UI */
--color-text: #1a1510;
--color-text-muted: #6b5e4e;
/* Accent: 10% of UI */
--color-accent: #c17b4a; /* primary actions */
--color-accent-sharp: #e05a2b; /* hover/active states */
}
The 60/30/10 rule prevents overwhelming accent usage.
High-impact reveals on page load (not scattered micro-interactions):
/* Staggered content entry */
@keyframes slideUp {
from {
opacity: 0;
transform: translateY(24px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
.hero-heading {
animation: slideUp 0.6s cubic-bezier(0.22, 1, 0.36, 1) both;
}
.hero-sub {
animation: slideUp 0.6s cubic-bezier(0.22, 1, 0.36, 1) 0.1s both;
}
.hero-cta {
animation: slideUp 0.6s cubic-bezier(0.22, 1, 0.36, 1) 0.2s both;
}
/* State transitions: fast and responsive */
.button {
transition:
background-color 150ms ease,
transform 100ms ease;
}
.button:hover {
transform: translateY(-1px);
}
.button:active {
transform: translateY(0);
}
/* Panel reveals: deliberate */
.modal {
transition:
opacity 250ms ease,
transform 250ms cubic-bezier(0.34, 1.56, 0.64, 1);
}
For complex sequences:
Don't constrain everything to a uniform container:
/* Full-bleed accent with contained content */
.section-dark {
background: #0d1117;
/* No max-width here */
}
.section-dark .content {
max-width: 1200px;
margin: 0 auto;
padding: 0 2rem;
}
/* Let elements breathe */
.hero {
padding: 12rem 0 8rem;
}
.section {
padding: 8rem 0;
}
.card {
padding: 2.5rem;
}
/* 60/40 split instead of 50/50 */
.two-column {
display: grid;
grid-template-columns: 3fr 2fr;
gap: 4rem;
}
Before declaring a component done:
Before designing interfaces:
cat .claude/context/memory/learnings.md | grep -i "design\|ui\|frontend\|css"
After completing design work, record patterns:
.claude/context/memory/learnings.md.claude/context/memory/decisions.mdweb-artifacts-builder — Build React + Tailwind + shadcn/ui artifactsreact-expert — React component patternsstyling-expert — Tailwind CSS, CSS-in-JS patternsshadcn-ui — shadcn/ui component customizationenhance-prompt — Transform vague UI requests into design specs아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
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LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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