with one click
ui-ux-pro-max
// [Frontend] Use when designing beautiful or aesthetic interfaces with curated UI styles, palettes, fonts, charts, and stacks.
// [Frontend] Use when designing beautiful or aesthetic interfaces with curated UI styles, palettes, fonts, charts, and stacks.
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | ui-ux-pro-max |
| version | 1.0.0 |
| description | [Frontend] Use when designing beautiful or aesthetic interfaces with curated UI styles, palettes, fonts, charts, and stacks. |
Goal: Provide searchable UI/UX design intelligence -- 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks.
Workflow:
search.py across domains: product, style, typography, color, landing, chart, UXKey Rules:
cursor-pointer and hover feedbackPre-read (project design system): When the project has a design system, load designSystem.canonicalDoc + tokenFiles from docs/project-config.json and prefer project tokens/components over the generic style intelligence database.
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
Searchable database of UI styles, color palettes, font pairings, chart types, product recommendations, UX guidelines, and stack-specific best practices.
Check if Python is installed:
python3 --version || python --version
If Python is not installed, install it based on user's OS:
macOS:
brew install python3
Ubuntu/Debian:
sudo apt update && sudo apt install python3
Windows:
winget install Python.Python.3.12
When user requests UI/UX work (design, build, create, implement, review, fix, improve), follow this workflow:
Extract key information from user request:
html-tailwindUse search.py multiple times to gather comprehensive information. Search until you have enough context.
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "<keyword>" --domain <domain> [-n <max_results>]
Recommended search order:
If user doesn't specify a stack, default to html-tailwind.
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "<keyword>" --stack html-tailwind
Available stacks: html-tailwind, react, nextjs, vue, svelte, swiftui, react-native, flutter
| Domain | Use For | Example Keywords |
|---|---|---|
product | Product type recommendations | SaaS, e-commerce, portfolio, healthcare, beauty, service |
style | UI styles, colors, effects | glassmorphism, minimalism, dark mode, brutalism |
typography | Font pairings, Google Fonts | elegant, playful, professional, modern |
color | Color palettes by product type | saas, ecommerce, healthcare, beauty, fintech, service |
landing | Page structure, CTA strategies | hero, hero-centric, testimonial, pricing, social-proof |
chart | Chart types, library recommendations | trend, comparison, timeline, funnel, pie |
ux | Best practices, anti-patterns | animation, accessibility, z-index, loading |
prompt | AI prompts, CSS keywords | (style name) |
| Stack | Focus |
|---|---|
html-tailwind | Tailwind utilities, responsive, a11y (DEFAULT) |
react | State, hooks, performance, patterns |
nextjs | SSR, routing, images, API routes |
vue | Composition API, Pinia, Vue Router |
svelte | Runes, stores, SvelteKit |
swiftui | Views, State, Navigation, Animation |
react-native | Components, Navigation, Lists |
flutter | Widgets, State, Layout, Theming |
User request: "Làm landing page cho dịch vụ chăm sóc da chuyên nghiệp"
AI should:
# 1. Search product type
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "beauty spa wellness service" --domain product
# 2. Search style (based on industry: beauty, elegant)
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "elegant minimal soft" --domain style
# 3. Search typography
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "elegant luxury" --domain typography
# 4. Search color palette
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "beauty spa wellness" --domain color
# 5. Search landing page structure
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "hero-centric social-proof" --domain landing
# 6. Search UX guidelines
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "animation" --domain ux
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "accessibility" --domain ux
# 7. Search stack guidelines (default: html-tailwind)
python3 .claude/skills/ui-ux-pro-max/scripts/search.py "layout responsive" --stack html-tailwind
Then: Synthesize all search results and implement the design.
These are frequently overlooked issues that make UI look unprofessional:
| Rule | Do | Don't |
|---|---|---|
| No emoji icons | Use SVG icons (Heroicons, Lucide, Simple Icons) | Use emojis like 🎨 🚀 ⚙️ as UI icons |
| Stable hover states | Use color/opacity transitions on hover | Use scale transforms that shift layout |
| Correct brand logos | Research official SVG from Simple Icons | Guess or use incorrect logo paths |
| Consistent icon sizing | Use fixed viewBox (24x24) with w-6 h-6 | Mix different icon sizes randomly |
| Rule | Do | Don't |
|---|---|---|
| Cursor pointer | Add cursor-pointer to all clickable/hoverable cards | Leave default cursor on interactive elements |
| Hover feedback | Provide visual feedback (color, shadow, border) | No indication element is interactive |
| Smooth transitions | Use transition-colors duration-200 | Instant state changes or too slow (>500ms) |
| Rule | Do | Don't |
|---|---|---|
| Glass card light mode | Use bg-white/80 or higher opacity | Use bg-white/10 (too transparent) |
| Text contrast light | Use #0F172A (slate-900) for text | Use #94A3B8 (slate-400) for body text |
| Muted text light | Use #475569 (slate-600) minimum | Use gray-400 or lighter |
| Border visibility | Use border-gray-200 in light mode | Use border-white/10 (invisible) |
| Rule | Do | Don't |
|---|---|---|
| Floating navbar | Add top-4 left-4 right-4 spacing | Stick navbar to top-0 left-0 right-0 |
| Content padding | Account for fixed navbar height | Let content hide behind fixed elements |
| Consistent max-width | Use same max-w-6xl or max-w-7xl | Mix different container widths |
Before delivering UI code, verify these items:
cursor-pointerprefers-reduced-motion respectedfrontend-designinterface-design — Product UIs (dashboards, admin panels, SaaS apps)shadcn-tailwindux-designer[IMPORTANT] Use
TaskCreateto break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
AI Mistake Prevention — Failure modes to avoid on every task: Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.