adversarial-ios-design

adversarial-ios-design is a Design critique & review skill for AI agents, published by pproenca in the dot-skills repository on GitHub. Skillspace rates adversarial-ios-design D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill to gate iOS SwiftUI design and UX with a pass/fail adversarial review — two blind reviewers independently judge screens, diffs, or features against 56 decidable HIG-derived rules, working backwards from mandatory rendered evidence, simulator screenshots (light, dark, accessibility text size) and interaction recordings tiled into filmstrips. Covers navigation/IA (tab bars, five tabs max, system Back), modality and flow grammar (sheets, alerts, unsaved-content protection), layout (44pt targets, safe areas, Dynamic Type), color and contrast, typography floors, Liquid Glass, feedback states (empty, loading, error, launch), motion — filmstrip-primary except the spring-curve and Reduce Motion checks, so code alone never prescribes an unseen animation, and gratuitous decoration fails — plus haptics and craft. Fixes must be the minimal change, removal preferred over addition. Trigger before merging user-facing SwiftUI work. Verdicts only, never fixes; targets without a SwiftUI…

Grade

D

Quality

66 / 100

Safety

Passed

GitHub stars

180

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