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ux-audit skill

/skills/tommygeoco/ux-audit

This skill conducts automated UX evaluations against core principles to boost interface clarity, accessibility, and navigation decisions.

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SKILL.md
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---
name: ux-audit
description: "AI skill for automated design audits. Evaluate interfaces against proven UX principles for visual hierarchy, accessibility, cognitive load, navigation, and more. Based on Making UX Decisions by Tommy Geoco."
author: Tommy Geoco
homepage: https://audit.uxtools.co
logo: logo-light.png
logoDark: logo-dark.png
---

# Design Audit Skill

Evaluate interfaces against proven UX principles. Based on [Making UX Decisions](https://uxdecisions.com) by Tommy Geoco.

## When to Use This Skill

- Making UI/UX design decisions under time pressure
- Evaluating design trade-offs with business context
- Choosing appropriate UI patterns for specific problems
- Reviewing designs for completeness and quality
- Structuring design thinking for new interfaces

## Core Philosophy

**Speed ≠ Recklessness.** Designing quickly is not automatically reckless. Recklessly designing quickly is reckless. The difference is intentionality.

## The 3 Pillars of Warp-Speed Decisioning

1. **Scaffolding** — Rules you use to automate recurring decisions
2. **Decisioning** — Process you use for making new decisions  
3. **Crafting** — Checklists you use for executing decisions

## Quick Reference Structure

### Foundational Frameworks
- `references/00-core-framework.md` — 3 pillars, decisioning workflow, macro bets
- `references/01-anchors.md` — 7 foundational mindsets for design resilience
- `references/02-information-scaffold.md` — Psychology, economics, accessibility, defaults

### Checklists (Execution)
- `references/10-checklist-new-interfaces.md` — 6-step process for designing new interfaces
- `references/11-checklist-fidelity.md` — Component states, interactions, scalability, feedback
- `references/12-checklist-visual-style.md` — Spacing, color, elevation, typography, motion
- `references/13-checklist-innovation.md` — 5 levels of originality spectrum

### Patterns (Reusable Solutions)
- `references/20-patterns-chunking.md` — Cards, tabs, accordions, pagination, carousels
- `references/21-patterns-progressive-disclosure.md` — Tooltips, popovers, drawers, modals
- `references/22-patterns-cognitive-load.md` — Steppers, wizards, minimalist nav, simplified forms
- `references/23-patterns-visual-hierarchy.md` — Typography, color, whitespace, size, proximity
- `references/24-patterns-social-proof.md` — Testimonials, UGC, badges, social integration
- `references/25-patterns-feedback.md` — Progress bars, notifications, validation, contextual help
- `references/26-patterns-error-handling.md` — Form validation, undo/redo, dialogs, autosave
- `references/27-patterns-accessibility.md` — Keyboard nav, ARIA, alt text, contrast, zoom
- `references/28-patterns-personalization.md` — Dashboards, adaptive content, preferences, l10n
- `references/29-patterns-onboarding.md` — Tours, contextual tips, tutorials, checklists
- `references/30-patterns-information.md` — Breadcrumbs, sitemaps, tagging, faceted search
- `references/31-patterns-navigation.md` — Priority nav, off-canvas, sticky, bottom nav

## Usage Instructions

### For Design Decisions
1. Read `00-core-framework.md` for the decisioning workflow
2. Identify if this is a recurring decision (use scaffold) or new decision (use process)
3. Apply the 3-step weighing: institutional knowledge → user familiarity → research

### For New Interfaces
1. Follow the 6-step checklist in `10-checklist-new-interfaces.md`
2. Reference relevant pattern files for specific UI components
3. Use fidelity and visual style checklists to enhance quality

### For Pattern Selection
1. Identify the core problem (chunking, disclosure, cognitive load, etc.)
2. Load the relevant pattern reference
3. Evaluate benefits, use cases, psychological principles, and implementation guidelines

## Decision Workflow Summary

When facing a UI decision:

```
1. WEIGH INFORMATION
   ├─ What does institutional knowledge say? (existing patterns, brand, tech constraints)
   ├─ What are users familiar with? (conventions, competitor patterns)
   └─ What does research say? (user testing, analytics, studies)

2. NARROW OPTIONS
   ├─ Eliminate what conflicts with constraints
   ├─ Prioritize what aligns with macro bets
   └─ Choose based on JTBD support

3. EXECUTE
   └─ Apply relevant checklist + patterns
```

## Macro Bet Categories

Companies win through one or more of:

| Bet | Description | Design Implication |
|-----|-------------|-------------------|
| **Velocity** | Features to market faster | Reuse patterns, find metaphors in other markets |
| **Efficiency** | Manage waste better | Design systems, reduce WIP |
| **Accuracy** | Be right more often | Stronger research, instrumentation |
| **Innovation** | Discover untapped potential | Novel patterns, cross-domain inspiration |

Always align micro design bets with company macro bets.

## Key Principle: Good Design Decisions Are Relative

A design decision is "good" when it:
- Supports the product's jobs-to-be-done
- Aligns with company macro bets
- Respects constraints (time, tech, team)
- Balances user familiarity with differentiation needs

There is no universally correct UI solution—only contextually appropriate ones.

---

## Generating Audit Reports

When asked to audit a design, generate a comprehensive report. Always include these sections:

### Required Sections (always include)
1. **Visual Hierarchy** — Headings, CTAs, grouping, reading flow, type scale, color hierarchy, whitespace
2. **Visual Style** — Spacing consistency, color usage, elevation/depth, typography, motion/animation
3. **Accessibility** — Keyboard navigation, focus states, contrast ratios, screen reader support, touch targets

### Contextual Sections (include when relevant)
4. **Navigation** — For multi-page apps: wayfinding, breadcrumbs, menu structure, information architecture
5. **Usability** — For interactive flows: discoverability, feedback, error handling, cognitive load
6. **Onboarding** — For new user experiences: first-run, tutorials, progressive disclosure
7. **Social Proof** — For landing/marketing pages: testimonials, trust signals, social integration
8. **Forms** — For data entry: labels, validation, error messages, field types

### Audit Output Format

```json
{
  "title": "Design Name — Screen/Flow",
  "project": "Project Name",
  "date": "YYYY-MM-DD",
  "figma_url": "optional",
  "screenshot_url": "optional - URL to screenshot",
  
  "macro_bets": [
    { "category": "velocity|efficiency|accuracy|innovation", "description": "...", "alignment": "strong|moderate|weak" }
  ],
  
  "jtbd": [
    { "user": "User Type", "situation": "context without 'When'", "motivation": "goal without 'I want to'", "outcome": "benefit without 'so I can'" }
  ],
  
  "visual_hierarchy": {
    "title": "Visual Hierarchy",
    "checks": [
      { "label": "Check name", "status": "pass|warn|fail|na", "notes": "Details" }
    ]
  },
  "visual_style": { ... },
  "accessibility": { ... },
  
  "priority_fixes": [
    { "rank": 1, "title": "Fix title", "description": "What and why", "framework_reference": "XX-filename.md → Section Name" }
  ],
  
  "notes": "Optional overall observations"
}
```

### Checks Per Section (aim for 6-10 each)

**Visual Hierarchy**: heading distinction, primary action clarity, grouping/proximity, reading flow, type scale, color hierarchy, whitespace usage, visual weight balance

**Visual Style**: spacing consistency, color palette adherence, elevation/shadows, typography system, border/radius consistency, icon style, motion principles

**Accessibility**: keyboard operability, visible focus, color contrast (4.5:1), touch targets (44px), alt text, semantic markup, reduced motion support

**Navigation**: clear current location, predictable menu behavior, breadcrumb presence, search accessibility, mobile navigation pattern

**Usability**: feature discoverability, feedback on actions, error prevention, recovery options, cognitive load management, loading states

Overview

This skill automates design audits using proven UX principles from Making UX Decisions by Tommy Geoco. It inspects interfaces for visual hierarchy, accessibility, cognitive load, navigation, and execution quality. The skill produces structured JSON audit reports with prioritized fixes and references to checklists and patterns.

How this skill works

The skill analyzes screenshots, descriptions, or links and maps interface elements against a checklist of visual hierarchy, visual style, and accessibility checks. It weights findings against product context by suggesting macro bets and JTBD alignment, then outputs a machine- and human-readable audit JSON with priority fixes. Use patterns and checklists to convert findings into actionable recommendations.

When to use it

  • Rapidly evaluate a UI under time pressure
  • Validate design trade-offs against business goals
  • Select UI patterns for a specific interaction or component
  • Review completeness and accessibility before release
  • Structure decision-making for new interfaces

Best practices

  • Start audits with the core decision workflow: institutional knowledge → user familiarity → research
  • Always include visual hierarchy, visual style, and accessibility sections in the report
  • Prioritize fixes by product macro bets (velocity, efficiency, accuracy, innovation)
  • Reference relevant pattern files for specific UI problems (chunking, disclosure, navigation)
  • Use the 6-step new-interface checklist to validate implementation readiness

Example use cases

  • Generate a pre-release accessibility audit for a multi-page app
  • Compare two competing layouts and recommend the option aligned with JTBD
  • Create prioritized fix lists with framework references for designers and engineers
  • Audit onboarding flows and recommend progressive disclosure and tutorial patterns
  • Evaluate marketing pages for trust signals and visual hierarchy

FAQ

What output format does the skill produce?

It generates a structured JSON audit with sections for macro bets, JTBD, visual hierarchy, visual style, accessibility, priority fixes, and optional metadata (title, project, date, URLs).

How are priorities determined?

Priorities are set by weighing constraints, alignment with macro bets, user familiarity, and research evidence; recommendations include framework references to the relevant checklist or pattern file.