What problem does it solve? Interfaces often look generic, amateur, or AI-generated without a structured way to diagnose why. This Skill gives an agent a measurable framework to evaluate visual execution quality against a defined craft bar instead of relying on subjective taste. ## Core Features & Use Cases - Nine evaluation axes: typography, spacing, hierarchy, density, contrast, composition, consistency, visual noise, and AI slop patterns, each with concrete attack patterns and measurable criteria like WCAG 4.5:1 contrast ratios. - Confidence-scaled findings: every violation is classified as CONFIRMED, HIGH CONFIDENCE, POSSIBLE, or SPECULATIVE, with false-positive guidance for design-system deviations and intentional density choices. - Use Case: A landing page feels generic and unpolished. Run this review to detect the default blue-purple gradient, Lucide icons without personality, an inconsistent heading scale, and low-contrast body text, then receive concrete fixes per axis. ## Quick Start Review this frontend interface for visual quality issues across typography, spacing, hierarchy, contrast, and AI slop patterns.
