xcode-compilation-analyzer

The xcode-compilation-analyzer skill helps developers investigate and optimize slow Swift and mixed-language Xcode compilation workflows by focusing on evidence-driven compile-time analysis. It is designed for situations where compilation latency, type-checking overhead, or expensive incremental and clean builds are slowing development productivity. The skill analyzes build timing summaries, compiler diagnostics, Swift frontend timing data, and module compilation behavior to identify the most impactful bottlenecks. Rather than making speculative project changes, it prioritizes measurable compiler evidence and produces a recommendation-first optimization plan that focuses on reducing real-world wall-clock build delays.

The skill supports detailed investigation workflows using Xcode timing summaries and advanced Swift compiler diagnostic flags. It can surface long-running CompileSwiftSources tasks, expensive SwiftEmitModule phases, and incremental build invalidation issues related to large modules or macro-heavy codebases. It also supports analysis of type-checking hotspots through warning-based and deep diagnostic compiler flags, including per-file and per-function compilation timing outputs. Additional inspection areas include Objective-C bridging overhead, module planning delays, broad access control usage, missing explicit type annotations, and complex SwiftUI expressions that increase compiler workload. Recommendations are separated into code-level, project-level, and module-level categories so developers can clearly prioritize optimization work.

This skill is intended for iOS and macOS developers, build engineers, and teams maintaining medium to large Swift codebases where compile performance has become a productivity issue. It is especially useful for projects with heavy SwiftUI usage, mixed Swift and Objective-C integration, macro-heavy architectures, or large monolithic modules that produce slow incremental builds. The skill is best used during performance investigations, CI optimization efforts, compiler regression analysis, or before large-scale refactoring work intended to improve developer iteration speed.