performance-profiler-tools

Analyze Instruments trace files by parsing Time Profiler and Allocations data to extract time percentages and memory metrics. This Skill generates performance reports identifying hot paths—the code consuming most CPU time—and memory growth patterns, helping pinpoint where optimization is needed.

Yes. Compare multiple .trace files—such as baseline and feature-branch builds—to identify performance regressions introduced by recent code changes. The Skill generates side-by-side analysis showing time and memory differences between traces.

Time Profiler and Allocations data from .trace files are extracted to generate time percentages, memory metrics, hot paths, and memory growth patterns. Results are output with clearly labeled performance reports across iOS and macOS applications.

Yes. This Skill analyzes Instruments trace files from both iOS and macOS applications, supporting Time Profiler and Allocations data across both platforms for comprehensive performance analysis.

Parse your Instruments .trace file to extract Time Profiler call stacks and time percentages. The Skill ranks functions by CPU consumption, displaying top hot paths—the functions consuming most execution time during startup.

Time Profiler identifies CPU-consuming code paths showing where execution time is spent. Allocations data reveals memory growth patterns and allocation hot spots. This Skill handles both, letting you address CPU performance or memory efficiency separately.