What problem does it solve?
This Skill identifies whether an interface actually works for users by detecting UX failures, visual noise, and AI-generated anti-patterns, then converts those observations into prioritized, actionable design guidance.
Core Features & Use Cases
- AI Slop Detection: Detects common AI-generated interface fingerprints (color palettes, glassmorphism, identical grids) and flags them as high-priority issues.
- Holistic UX Audit: Evaluates visual hierarchy, information architecture, emotional resonance, affordance, states, and microcopy to produce a director-level critique.
- Prioritized Remediation Plan: Delivers a clear list of priority issues with concrete fixes and specific commands to run follow-up skills (e.g., /typeset, /colorize, /arrange).
- Use Case: During a pre-launch design review, run this Skill on mockups to quickly surface the top 3 problems that will confuse new users and propose exact fixes for developers and designers.
Quick Start
Run a holistic design critique of the attached interface using the Context Gathering Protocol and return a prioritized report with concrete fixes and recommended follow-up commands.