Why is it necessary to uninstall the app before profiling?

Uninstalling ensures a clean installation state and prevents 'process is ambiguous' errors that occur when the CLI tool detects multiple versions of the same bundle ID.

Why does this skill require a device UUID instead of a name?

Device names in Xcode are often ambiguous (e.g., multiple 'iPhone 15' simulators), which causes command-line tools to fail. Using a UUID ensures the CLI targets the exact device intended.

How do I view the results after the recording is finished?

The skill helps you locate the auto-generated .trace file and provides the command to open it in the Instruments.app GUI, as CLI exports can often be unreliable.

Should I profile my app in Debug or Release mode?

You should always profile in Release mode. Debug builds contain symbols and overhead that distort performance data, whereas Release mode reflects the real-world experience of your users.

iOS Performance Profiler & Instruments CLI

Name: iOS Performance Profiler & Instruments CLI
Author: daispacy

bydaispacy

Mobile Development

Optimizes iOS application performance and detects resource bottlenecks using Xcode Instruments command-line tools.

소개

This skill empowers developers to streamline iOS app optimization by automating performance analysis through the xctrace and simctl command-line interfaces. It provides specialized guidance on identifying memory leaks, reducing app launch times, monitoring CPU usage, and resolving UI hitches through standardized workflows. By enforcing critical best practices—such as using unique device UUIDs, conducting clean installations, and profiling strictly in Release mode—it ensures accurate performance data collection while helping developers implement proven optimization patterns like lazy initialization and background thread offloading.

주요 기능

CPU time profiling and bottleneck identification
0 GitHub stars
Memory leak detection and allocation tracking workflows
Standardized simulator state management for clean profiling
Automated performance recording using xctrace templates
App launch sequence analysis for startup optimization

사용 사례

Reducing app cold-start times through detailed launch sequence analysis
Optimizing main-thread performance to eliminate UI hitches and stutters
Identifying and fixing memory leaks during continuous integration or local testing

소개

주요 기능

CPU time profiling and bottleneck identification
0 GitHub stars
Memory leak detection and allocation tracking workflows
Standardized simulator state management for clean profiling
Automated performance recording using xctrace templates
App launch sequence analysis for startup optimization

사용 사례

Reducing app cold-start times through detailed launch sequence analysis
Optimizing main-thread performance to eliminate UI hitches and stutters
Identifying and fixing memory leaks during continuous integration or local testing