ui-ux-pro-max

name	ui-ux-pro-max
description	Industry-specific design intelligence — 161 reasoning rules, 99 UX guidelines, 161 color palettes, 57 font pairings, 49 UI styles. Use when building professional UI, need industry-specific design, generating design systems, choosing colors or typography.
domain	content
tags	["ui","ux","design","design-system","color-palette","typography","accessibility"]

Overview

UI/UX Pro Max: comprehensive design intelligence for AI coding assistants. 161 industry-specific reasoning rules, 99 UX guidelines, 161 color palettes, 57 font pairings, and 49 UI styles — all searchable and template-ready.

Source: nextlevelbuilder/ui-ux-pro-max-skill

Capabilities

• Apply industry-specific design rules across 8 sectors
• Generate complete design systems from requirements
• Search color palettes by mood, industry, or brand
• Match font pairings for different contexts
• Apply 99 UX guidelines systematically
• Build UI component templates from style definitions

When to Use

Trigger phrases:

• "ui ux pro max"

• "Building professional UI for a specific industry"

• "Need color palette or font pairing recommendations"

• "Creating or auditing a design system"

• Building professional UI for a specific industry

• Need color palette or font pairing recommendations

• Creating or auditing a design system

• Translating business requirements into visual design

• Ensuring UX best practices in implementation

Supported Platforms

Claude, Cursor, Copilot, Windsurf — works as a skill in any AI coding assistant.

Industry Categories (161 Rules)

Industry	Focus Areas
Tech/SaaS	Dashboards, pricing pages, onboarding flows, data density
Finance	Trust signals, data tables, compliance UI, security indicators
Healthcare	Accessibility-first, clear hierarchy, calm palettes, HIPAA-aware
E-commerce	Product cards, checkout flow, urgency cues, mobile-first
Services	Booking flows, testimonials, CTAs, trust badges
Creative	Portfolio layouts, bold typography, immersive visuals
Lifestyle	Social proof, aspirational imagery, engagement loops
Emerging Tech	AI/ML dashboards, blockchain explorers, IoT panels

UX Guidelines (99 Items)

Organized by category:

• Navigation (12): Menu patterns, breadcrumbs, search, mobile nav
• Forms (15): Input validation, error states, multi-step, autocomplete
• Content (11): Typography hierarchy, whitespace, reading patterns
• Interaction (13): Feedback, loading states, animations, gestures
• Accessibility (14): WCAG compliance, screen readers, contrast, focus
• Mobile (12): Touch targets, gestures, responsive breakpoints
• Conversion (10): CTAs, social proof, urgency, A/B patterns
• Data Display (12): Tables, charts, dashboards, empty states

Color Palettes (161)

Searchable by mood, industry, or brand archetype:

• Professional/Corporate (blue-gray, navy, slate)
• Energetic/Creative (coral, violet, teal)
• Calm/Healthcare (sage, sky, lavender)
• Luxury/Premium (gold, charcoal, cream)
• Tech/Modern (electric blue, neon green, dark mode)

Font Pairings (57)

Matched for context:

• SaaS/Dashboard: Inter + JetBrains Mono
• Editorial: Playfair Display + Source Sans Pro
• E-commerce: DM Sans + Space Grotesk
• Creative: Clash Display + Satoshi
• Enterprise: IBM Plex Sans + IBM Plex Mono

Usage

User: "Design a healthcare dashboard"
Agent: Applies healthcare industry rules, selects calm palette, pairs IBM Plex Sans, follows data display UX guidelines

User: "What colors for a fintech app?"
Agent: Searches finance palettes, recommends trust-building blues with accent greens for positive metrics

How to Use

1. Define content goal (traffic, engagement, conversion, brand awareness)
2. Research target audience pain points and search intent
3. Generate content using appropriate AI tools
4. Edit and humanize output for authenticity
5. Optimize for target platform (SEO, hashtags, format)
6. Schedule and distribute across channels
7. Measure performance and iterate

When NOT to Use

• Task is about content strategy, not creation (use strategy skills)
• Task is about content distribution (use distribution skills)
• You need to analyze content performance (use analytics skills)
• Task is about content moderation (use moderation tools)
• You don't have content guidelines
• Task requires domain expertise (consult experts)

Red Flags

• AI-generated content sounds robotic: Always run through humanizer before publishing
• Engagement dropping week-over-week: Content fatigue or algorithm change — vary formats
• Duplicate content across platforms: Adapt content per platform, don't just cross-post
• No content calendar: Sporadic posting kills audience retention
• Ignoring analytics: Content without measurement is just publishing, not marketing

Verification

• Skill output matches expected behavior

Process

1. Analyze the task requirements
2. Apply domain expertise
3. Verify output quality

Anti-Rationalization

Rationalization	Reality
"Good enough content works"	Quality content drives engagement. Mediocre content gets ignored.
"I will optimize later"	SEO and distribution need optimization from the start.
"Templates are good enough"	Templates are a starting point. Custom content outperforms generic.