Individual skill

audit-ai-design-slop

Audit websites, apps, screenshots, mockups, and design code for harmful AI-design clichés, generic generated defaults, and established UI defects. Use when the user wants evidence-backed design feedback, an anti-slop review, or a removal-first cleanup plan without a speculative redesign.

agent-skills/ui/audit-ai-design-slop/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 7,341
Repository last updated: Nov 8, 2026
License: MIT

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design Derived category
security Derived category
design-interface Derived category

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REFERENCES.mddoc · 825 bytes
SKILL.mdcore · 6,210 bytes
SKILL.mdcore · 6,210 bytes
agents/openai.yamlasset · 240 bytes

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# Audit AI Design Slop

Run a diagnostic, evidence-backed audit. Identify the smallest set of removals or corrections that would improve the interface while preserving its existing direction.

## Boundaries

- Do not guess whether AI made the design.
- Do not assign a numeric slop score.
- Do not reject a visual technique in isolation. A gradient, serif, dark theme, glass effect, card, animation, or single-font system can be intentional.
- Do not prescribe a new font, palette, layout, design system, or art direction unless the user explicitly asks for one.
- Do not turn an audit into an implementation task.
- Mark anything outside the visible or provided evidence as unknown.

## Audit the Evidence