audit-ai-design-slop

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

Updated May 5, 2026
One-click install
npx skills add https://github.com/josippapez/ai-setup --skill audit-ai-design-slop-josippapez
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-ai-design-slop
Source: https://github.com/josippapez/ai-setup/tree/main/claude/plugins/better-design/skills/audit-ai-design-slop
Command: npx skills add https://github.com/josippapez/ai-setup --skill audit-ai-design-slop-josippapez

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Interfaces built with AI assistance often accumulate generic decorative layers, repeated template patterns, fake proof elements, and established usability defects. This Skill produces a diagnostic audit that identifies the smallest set of removals or corrections to improve an interface without prescribing a speculative redesign. ## Core Features & Use Cases - Evidence-backed findings: Every issue cites a concrete location, component, behavior, or line of copy from the inspected artifact, classified as a quality defect or slop pattern. - Removal-first recommendations: A structured removal test prioritizes subtraction over restyling, with findings ranked P0 through P3 by user impact. - Use Case: Paste a screenshot of a landing page and receive a compact report flagging stacked decorative effects, interchangeable icon-heading-description tiles, and unverifiable testimonials, each with a specific removal or correction. ## Quick Start Audit this landing page screenshot for AI design slop and give me the highest-impact removals.

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-generated design slop?

Provide a screenshot, rendered page, or source code and request an audit. The review inspects decorative stacking, template repetition, typography clutter, motion theater, and fake proof, then returns prioritized findings with concrete evidence for each.

What design problems does an anti-slop audit detect?

It detects stacked decorative effects like glow and glass, repeated card and tile templates, filler copy, distracting motion, unverifiable testimonials or metrics, and established failures like low contrast, overflow, and unclear primary actions.

Can I audit a design from just a screenshot?

Yes, screenshots and recordings are valid audit inputs alongside rendered pages and source code. Anything not visible in the provided evidence is marked as unknown rather than guessed.

Does the audit suggest a new design direction or redesign?

No, the audit defaults to removal and minimal corrections within the existing visual system. Replacement suggestions appear only when deletion would cause a real loss or when the user explicitly requests design swaps.

How are audit findings prioritized?

Findings are ranked P0 through P3: P0 blocks completion or involves deceptive proof, P1 harms comprehension or trust, P2 covers repeated slop weakening hierarchy, and P3 is minor polish. Reports return the five to eight highest-impact items.