What problem does it solve? Mobile app development often suffers from AI-generated code that ignores platform conventions, touch ergonomics, and performance constraints, resulting in janky lists, insecure token storage, and apps that feel wrong on iOS or Android. ## Core Features & Use Cases - Anti-Pattern Prevention: Enforces critical rules like FlatList over ScrollView, memoized renderItem, 44-48px touch targets, and SecureStore for tokens. - Platform Decision Guidance: Provides decision trees for framework selection (React Native vs Flutter vs native), state management, navigation patterns, and storage strategy. - Reference Library: Covers touch psychology, performance optimization, dark mode/OLED color systems, navigation, debugging, and mobile backend patterns. - Use Case: When building a cross-platform e-commerce app, the Skill forces a checkpoint confirming platform, framework, and navigation choices, then applies platform-specific conventions like edge swipe back on iOS and predictive back on Android. ## Quick Start Ask the assistant to design a mobile app screen and it will first confirm the target platform and framework, read the relevant reference files, and complete the mandatory checkpoint before writing any code.