What problem does it solve?
Manual visual quality assurance for web interfaces is slow, inconsistent, and often misses subtle issues like spacing mismatches, hierarchy flaws, generic AI-generated UI patterns, and slow interactions that degrade user experience. This skill automates the entire process from detection to verified fix.
Core Features & Use Cases
- Automated Visual Issue Detection: Scans live web pages to find spacing inconsistencies, typography hierarchy problems, "AI slop" UI patterns, and underperforming interactions.
- Iterative Source Code Fixes: Resolves identified issues directly in your project's code, with each fix committed atomically for easy rollback and clear change tracking.
- Before/After Verification: Uses screenshots to confirm every fix matches design intent and introduces no regressions.
- Use Case: If you're preparing a customer-facing dashboard for launch, run this skill to catch misaligned buttons, inconsistent font weights, and laggy hover states that would harm first impressions.
Quick Start
Ask the AI to run a design review on your live site at https://your-app.com to identify and fix all visual inconsistencies.