What problem does it solve? Reviewing a finished UI for usability issues often devolves into subjective opinions like "it looks off." This Skill replaces guesswork with a systematic 3-dimension evaluation framework (Position, Visual Weight, Spacing) that scores every component Pass/Warn/Fail against Balsamiq, Nielsen, and Material conventions, with concrete selector and computed-style evidence for every finding. ## Core Features & Use Cases - 3-Dimension Scoring: Every component is scored on Position, Visual Weight, and Spacing with Pass/Warn/Fail verdicts backed by measurable evidence, never prose-only judgments. - Prioritized Recommendations: Findings are triaged as P1 (UX-breaking), P2 (suboptimal), or P3 (polish) so teams know what blocks shipping. - Machine-Readable Scorecard: In agent-orchestrated mode it emits a YAML scorecard sidecar with severity tiers and an overall verdict (PASS / NEEDS_CHANGES / BLOCKED) that downstream agents can gate on. - Use Case: After generating a pricing page, run an evaluation on the CTA stack. The Skill reports that the primary button sits left of the secondary (P1, violates Balsamiq primary-right convention) and that the 6px intra-group gap falls below the 8px minimum (P3), citing exact selectors and computed styles. ## Quick Start Ask the AI to evaluate the UX of your rendered HTML file or live URL, for example by running /amw-eval on your pricing page to get a scored report with prioritized fixes.