audit-ai-design-slop

Audit interfaces for AI-design clichés and UI defects with evidence-backed findings.

5.7k|685|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/MengTo/Skills --skill audit-ai-design-slop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-ai-design-slop
Source: https://github.com/MengTo/Skills/tree/main/agent-skills/ui/audit-ai-design-slop
Command: npx skills add https://github.com/MengTo/Skills --skill audit-ai-design-slop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-generated interfaces often ship with decorative clutter, repeated template patterns, fake proof elements, and established usability defects that erode trust and clarity. This Skill provides a disciplined, evidence-backed audit that identifies the smallest set of removals or corrections to improve an interface without imposing a speculative redesign.

Core Features & Use Cases

  • Evidence-Based Findings: Every issue is tied to a concrete location, component, behavior, or line of copy in the inspected artifact, never generic taste claims.
  • Classification and Prioritization: Findings are classified as quality defects or slop patterns and ranked P0–P3, returning the five to eight highest-impact issues.
  • Removal-First Recommendations: A structured removal test favors subtraction and consolidation over restyling, preserving the product's existing visual direction.
  • Use Case: Paste a screenshot or link of an AI-generated landing page and receive a compact report flagging decorative stacking, fake testimonials, motion theater, and contrast failures with specific fixes.

Quick Start

Use the audit-ai-design-slop skill to review this landing page screenshot and list the highest-impact design slop patterns to remove.

Frequently Asked Questions about audit-ai-design-slop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit a website for AI design slop?

Provide the artifact such as a screenshot, rendered page, or source code, and the audit inspects decorative stacking, template repetition, typography clutter, motion theater, and fake proof. Each finding cites concrete evidence and is prioritized P0 through P3 with a removal or correction recommendation.

What is an anti-slop design review?

An anti-slop design review identifies repeated generated defaults, decorative layers with no useful role, and unverifiable proof elements in an interface. It recommends the smallest removals or corrections that improve clarity while preserving the product's existing visual direction.

Does the audit prescribe a new design system or redesign?

No. The audit explicitly avoids prescribing new fonts, palettes, layouts, or art direction unless the user explicitly asks. It defaults to subtraction and only suggests replacements that inherit the product's existing visual language.

Can the audit check accessibility issues like contrast and motion?

Yes. Established UI failures flagged include low contrast, unreadable content, missing keyboard focus, and motion that ignores reduced-motion preferences. References include WCAG 2.2 quick reference and contrast minimum guidelines.

What are the limitations of an AI design slop audit?

The audit does not guess whether AI made the design, assign numeric slop scores, or reject techniques like gradients or dark themes in isolation. Anything outside the visible or provided evidence is marked as unknown rather than speculated upon.