What problem does it solve? Design reviews are often subjective and inconsistent, missing AI-generated design tells, cognitive overload, and usability failures. This Skill provides a structured, dual-assessment critique that combines an LLM design review with deterministic automated detection to produce honest, actionable feedback. ## Core Features & Use Cases - Dual Independent Assessments: Runs an LLM design review (visual hierarchy, AI slop detection, cognitive load, emotional journey) alongside a deterministic CLI/browser detector that flags 25 anti-patterns, then synthesizes both into one report. - Quantitative Scoring: Scores all 10 Nielsen heuristics (0-4 each, 40 total) with rating bands, plus P0-P3 severity tagging for every issue found. - Persona-Based Red Flags: Tests the interface through 2-3 relevant personas (power user, first-timer, accessibility-dependent, stress tester, mobile user) and reports specific failures per persona. - Use Case: After building a new dashboard page, run the critique to get a Design Health Score, a list of prioritized issues with concrete fixes, and a recommended sequence of follow-up commands to address them. ## Quick Start Ask the assistant to critique the design of your checkout page component and provide a scored report with prioritized fixes.