ux-audit

skill
Security Audit
Fail
Health Warn
  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Fail
  • rm -rf — Recursive force deletion command in install.sh
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This is a design-focused prompt engineering skill that teaches AI coding assistants how to generate better UI/UX. It provides a library of principles, documentation, and component checklists to improve the accessibility and design of AI-generated code.

Security Assessment
Overall Risk: Medium. The tool itself is fundamentally just a collection of reference documents (HTML/Markdown) for AI context, and it does not request dangerous permissions, execute background network requests, or contain hardcoded secrets. However, the automated installation script includes a `rm -rf` recursive force deletion command. While this is likely just intended to clear out old versions, it is a risky shell operation that requires manual verification before running.

Quality Assessment
The project has a solid foundation for trust. It is built using safe web languages (HTML), uses a highly permissive standard license (Apache 2.0), and is actively maintained, with its most recent code push happening today. The only notable drawback is its exceptionally low visibility. With only 5 GitHub stars, the tool has not yet undergone significant peer review or widespread community testing.

Verdict
Use with caution: the reference materials are safe, but you should manually inspect the `install.sh` script before executing it to ensure the `rm -rf` command only targets intended directories.
SUMMARY

Give your AI coding assistant a design eye. 12 principles, 13 reference docs, 7 component checklists. Works with Claude Code, Cursor, Codex, and Windsurf.

README.md

UX Audit banner

Release License Stars Works with

UX Audit

Give your AI coding assistant a design eye.

A skill that teaches Claude Code, Cursor, Codex, and Windsurf how to think about UI/UX — so the interfaces they generate aren't just functional, but well-designed.

12 design principles. 13 reference docs. 7 component checklists. Two modes: guide (build it right) and review (audit what exists).


Before / After

Without the skill, AI assistants generate functional but flat UI. With it, they produce interfaces with hierarchy, feedback, accessibility, and intent.

A delete confirmation — without the skill:

<dialog>
  <p>Are you sure you want to delete?</p>
  <button>Yes</button>
  <button>No</button>
</dialog>

No specifics. No consequence framing. "Yes/No" labels. User can't tell what they're losing.

With the skill:

<dialog role="dialog" aria-modal="true" aria-labelledby="delete-title"
  class="max-w-md rounded-xl p-6 shadow-lg">
  <h2 id="delete-title" class="text-lg font-semibold">Delete "Q4 Report"?</h2>
  <p class="text-sm text-gray-600 mt-2">
    This will permanently delete the report and 12 comments. This can't be undone.
  </p>
  <div class="flex justify-end gap-3 mt-6">
    <button class="px-4 py-2 rounded-lg border text-gray-700
      hover:bg-gray-50 focus:ring-2 focus:ring-offset-2">Cancel</button>
    <button class="px-4 py-2 rounded-lg bg-red-600 text-white
      hover:bg-red-700 focus:ring-2 focus:ring-red-500 focus:ring-offset-2">
      Delete report</button>
  </div>
</dialog>

Names what's being deleted. States the consequence. Action-specific button labels. Accessible markup. Focus styles. Destructive action visually distinct.

A loading state — without the skill:

{loading ? <Spinner /> : <Content />}

Spinner replaces all content. Layout jumps when data arrives.

With the skill:

<div class="space-y-3">
  <div class="h-6 w-48 bg-gray-200 rounded animate-pulse" />
  <div class="h-4 w-full bg-gray-200 rounded animate-pulse" />
  <div class="h-4 w-3/4 bg-gray-200 rounded animate-pulse" />
</div>

Skeleton preserves layout. No content shift. User sees the page is loading, not broken.


Two Modes

flowchart LR
    A["Describe what you're building"] --> B{"UX Audit"}
    C["Share existing UI"] --> B
    B -->|Guide| D["Principles + checklists for your surface"]
    B -->|Review| E["P0/P1/P2 findings with fixes"]

Guide Mode

Tell it what you're building. Get back tailored principles with do/don't code examples.

"I'm building a settings page for a SaaS dashboard. Apply the ux-audit skill."

You get: settings grouped by mental model, help text layered by severity, accessible toggles with visible labels, inline validation, and a component checklist for the surface. Full example →

Review Mode

Share a screenshot, mock, HTML, or PR. Get back a structured audit.

"Review this onboarding flow. Use the ux-audit skill in review mode."

You get: prioritized findings (P0/P1/P2), root-cause diagnosis (gulf of execution, cognitive overload, accessibility failure), implementable fixes, and a verification checklist. Full example →

How long does a review take?

Surface Typical time
Single component (button, card, modal) 1-2 minutes
Full page (settings, form, dashboard) 3-5 minutes
Multi-page flow (onboarding, checkout) 5-10 minutes

Time depends on complexity and the number of findings. Guide mode is faster; review mode is more thorough.


Install

Quick install (recommended)

Interactive installer — detects your agent and sets everything up:

curl -sSL https://raw.githubusercontent.com/narenkatakam/ux-audit/main/install.sh | bash

Or clone and run directly:

git clone https://github.com/narenkatakam/ux-audit.git
cd ux-audit && ./install.sh

Per-agent install

Claude Code
# Global (all projects)
mkdir -p ~/.claude/skills/ux-audit
cp -r skills/ux-audit/* ~/.claude/skills/ux-audit/

# Project-level
mkdir -p .claude/skills/ux-audit
cp -r skills/ux-audit/* .claude/skills/ux-audit/

Then add to your CLAUDE.md:

Load skills from ~/.claude/skills/ux-audit/SKILL.md
Cursor
# From inside the cloned ux-audit directory:
./install.sh --agent cursor

Or manual, from your target project directory:

UXA=/path/to/your/ux-audit/clone
mkdir -p .cursor/rules
cp "$UXA/.cursor/rules/ux-audit.mdc" .cursor/rules/
cp -r "$UXA/skills/" "$UXA/AGENTS.md" .

The rule file loads automatically when Cursor reads your project.

Codex
cp agents/openai.yaml .
cp -r skills/ .

Codex picks up the skill from the YAML config.

Windsurf
cp AGENTS.md .
cp -r skills/ .

Windsurf reads AGENTS.md as its instruction file.

Try without installing

Paste these 5 rules into your AI assistant's system prompt to test the difference:

1. No emoji as UI icons — use a proper icon set.
2. One primary CTA per screen, identifiable in 3 seconds.
3. Cover all states: loading, empty, error, success.
4. WCAG 2.1 AA contrast minimum on all text.
5. Spacing: 4px base unit, tight within groups, loose between.

If that changes how your AI builds UI, install the full skill.


Usage

Once installed, just ask naturally:

"I'm building a dashboard for monitoring API usage. Apply the ux-audit skill."
"Review this component for UX issues. Use the ux-audit skill in review mode."
"Check the accessibility of this form against the ux-audit skill."
"Generate a settings page. Follow the ux-audit principles."
"I'm building a modal for user deletion. Apply the ux-audit skill."

What's Inside

Explore the interactive coverage map →

12 core principles (SKILL.md)

Principle One-liner
A Task-First UX One primary CTA per screen, identifiable in 3 seconds
B Information Architecture Group by mental model, not database structure
C Feedback & System Status Every action answers: did it work? what changed? what's next?
D Consistency Same interaction = same component + wording + placement
E Affordance + Signifiers Clickable things look clickable, constraints shown before submit
F Error Prevention Prevent first, confirm destructive, give actionable recovery
G Cognitive Load Sensible defaults, progressive disclosure, carry context forward
H CRAP Visual Hierarchy Contrast, repetition, alignment, proximity — in that order
I Accessibility WCAG 2.1 AA floor, keyboard nav, screen reader support
J Responsive Design Mobile-first, 44px touch targets, content hierarchy preserved
K Typography Type scale, 2 fonts max, 45-75ch line length
L Color Systems Semantic tokens, one accent, test for contrast

13 reference docs (references/)

Deep-dive guidance on: system principles, psychology, accessibility, responsive design, typography, color systems, navigation, data visualization, icons, forms, UI states, overlays, and review templates.

7 component checklists (checklists/)

"Building a [X]? Check these before shipping." — 12-14 items each for: buttons, cards, tables, forms, modals, navigation, dashboards.

5 non-negotiables

Rule Why
No emoji as icons Inconsistent rendering, no semantics, signals amateur design
One icon family Mixed styles create visual noise
Minimize copy If layout and icons communicate it, words are redundant
WCAG 2.1 AA minimum Accessibility is a quality standard, not a feature
No decoration without purpose Every effect must answer: "what does this help the user understand?"

Full coverage breakdown → | Architecture →


What's New (v2)

The original release had solid principles but left developers to interpret paragraphs. v2 closes the gap between "good advice" and "code I can ship."

  • Every principle now has do/don't code examples — Tailwind + React snippets you can copy-paste, not paragraphs to interpret. (Phase 1)
  • 3 new reference docs: forms, UI states, overlays — the most common "what do I do here?" moments now have deep-dive guidance with decision trees. (Phase 2)
  • 7 component checklists — building a table? A modal? A dashboard? Start with a 12-14 item checklist that references the right principles and docs. No more guessing which rules apply to your surface. (Phase 3)
  • Quick-reference index — "I need help with [X] → read [Y]" lookup table at the top of SKILL.md. Find the right doc in seconds. (Phase 3)
  • Review template tightened — verification split into Essential (15 must-pass) and Polish (20 items). 6 example findings across forms, dashboards, and settings — so AI assistants know exactly what good audit output looks like. (Phase 3)
  • Core principles sharpened — "modern minimal" vibes replaced with concrete rules: max shadow blur values, max colors per component, whitespace ratios, border-radius scales. (Phase 1)
  • Dark mode deepened — elevation strategy, saturation reduction, separate contrast audit. (Phase 1)

The net effect: AI assistants using this skill now produce more specific, more consistent, and more shippable UI — especially for the surfaces developers build most (forms, tables, dashboards, settings).


Origin

Forked from oil-oil/oiloil-ui-ux-guide — a well-structured Chinese-language UI/UX skill with strong bones: solid core principles, a smart help-text layering system (L0-L3), Norman-inspired psychology, and clean multi-tool architecture.

This fork rewrote it in English and filled the gaps: accessibility, responsive design, typography, color systems, navigation, data visualization, forms, UI states, overlays, component checklists, and structured review workflows. Every rule traces back to a user outcome, not a style preference. Full origin story →


License

Apache License 2.0 — Built by Naren Katakam. Original work by oil-oil.

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