A comprehensive guide for profiling native Apple platform applications using xctrace and the Instruments suite to eliminate performance bottlenecks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install instruments-profiling
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install instruments-profiling using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Instruments Profiling (macOS/iOS)?
This skill empowers developers to perform deep performance analysis and stack tracing on native macOS and iOS applications. By leveraging the xctrace command-line interface and the Instruments UI, it provides a structured approach to capturing Time Profiler data, managing binary selection, and interpreting call trees. Utilizing Openclaw Skills for profiling ensures that developers can accurately identify hot frames and optimize resource consumption across the Apple ecosystem.
Whether you are troubleshooting a slow startup or analyzing steady-state performance, this skill covers the critical nuances of the Apple developer toolchain. It specifically addresses common pitfalls like LaunchServices resolving the wrong app version and provides clear pathways for both CLI-driven automation and manual UI-based investigation.
Instruments Profiling (macOS/iOS) Use Cases
- Debugging performance regressions in native macOS desktop software.
- Optimizing startup times for iOS applications on physical hardware.
- Automating performance data collection within CI/CD pipelines using xctrace.
- Exporting stack trace data for custom analysis and reporting tools.
- Identifying memory leaks or high CPU usage in specific app threads.
How Instruments Profiling (macOS/iOS) Works
- Identify the target application or binary path, ensuring the local build is prioritized over installed versions.
- Select a profiling template using Openclaw Skills workflows, such as the Time Profiler, to define the data capture scope.
- Execute the record command via xctrace to capture performance metrics during app launch or by attaching to a running process.
- Analyze the generated .trace file in the Instruments UI, applying filters like Invert Call Tree and Hide System Libraries.
- Export specific data tables to XML format using XPath queries for further programmatic processing.
Instruments Profiling (macOS/iOS) Setup
Ensure Xcode Command Line Tools are installed on your macOS machine. You may also need to grant terminal permissions under System Settings > Privacy & Security > Developer Tools. Verify your environment with these commands:
# List available profiling templates
xcrun xctrace list templates
# List connected devices and simulators
xcrun xctrace list devices
Instruments Profiling (macOS/iOS) Data Schema & Taxonomy
The skill manages performance data through specialized file formats and structured exports. Using Openclaw Skills allows for consistent handling of these outputs:
| Data Type | Extension | Purpose |
|---|---|---|
| Trace Bundle | .trace | Contains the complete recording data for viewing in Instruments. |
| Exported Samples | .xml | Structured data extracted via XPath for stack analysis. |
| Template | String | The identifier for the profiling mode (e.g., 'Time Profiler'). |
| Device UDID | String | Unique identifier for targeting specific iOS hardware. |
Instruments Profiling (macOS/iOS) Advanced Features
- Direct binary execution to bypass LaunchServices ambiguity and ensure the correct build is profiled.
- XPath-based data extraction for targeted analysis of large trace files without opening the UI.
- Support for both launch-based and attach-based profiling workflows.
- Headless trace recording for integration into automated testing suites with Openclaw Skills.
- Advanced call tree manipulation techniques including thread-specific separation and frame focusing.
SKILL.md
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