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.