What problem does it solve? AI-generated SwiftUI code is trained mostly on iOS patterns, so macOS apps end up with windows that lack min/ideal/max frames, hand-rolled Lists where a sortable Table belongs, oversized control density, and deprecated tableStyle cases. This Skill audits a macOS SwiftUI codebase for exactly those layout and table defects and reports or fixes them. ## Core Features & Use Cases - Eight-rule defect index (lt-01 to lt-08): Detects missing window content frames, missing scene sizing, List-versus-Table misuse, non-sortable Tables, wrong control density, blanket fixedSize, the deprecated tableStyle case, and unnecessary custom Layout conformances. - Hybrid lint engine: Runs tier-1 grep tells plus tier-2 ast-grep structural rules that can prove the absence of a frame or sortOrder across a call span, emitting unified JSON and SARIF output. - Corpus-grounded verification: Confirms uncertain findings against a 1,857-app SwiftSyntax corpus via the swiftui-ctx CLI and Apple docs via Sosumi, then auto-fixes the deprecated tableStyle case under a fix-safety protocol. - Use Case: Point it at a finished macOS SwiftUI project to receive structured findings written to swiftui-audits/layout-and-tables/ with severity, confidence, and permalinked correct examples. ## Quick Start Ask the agent to audit your macOS SwiftUI project's layout and table code for missing window sizing, non-sortable tables, and deprecated tableStyle usage.