القائمة
Python tools for analyzing Instruments traces and performance data
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Generate comprehensive API documentation using DocC (Swift-DocC) for your PaleoRose project
Analyze and optimize Xcode asset catalogs - find unused assets, missing resolutions, compress images
Analyze and optimize Xcode build times by identifying slow compilation units and suggesting improvements
Generate CI/CD configurations and automation scripts for building, testing, and deploying
Calculate code quality metrics - complexity, coverage, maintainability
Parse and analyze macOS crash logs to identify crash causes and debugging information
استنادا إلى تصنيف SOC المهني
| name | performance-profiler-tools |
| description | Python tools for analyzing Instruments traces and performance data |
| type | skill |
| language | python |
Analyze Instruments trace files and performance data.
instruments_analyzer.py - Parse Instruments traces
# Analyze trace
./instruments_analyzer.py analyze app.trace
# Compare traces
./instruments_analyzer.py compare --baseline baseline.trace --current current.trace
# Find hot paths
./instruments_analyzer.py hotpaths app.trace --threshold 5%
# Memory analysis
./instruments_analyzer.py memory app.trace
Performance Analysis
===================
Total Time: 2.45s
Top Methods:
1. drawRect: (456ms, 18.6%)
2. calculateStatistics (234ms, 9.5%)
3. readFromStore (198ms, 8.1%)
Recommendations:
- Cache drawRect results
- Optimize calculateStatistics algorithm
- Add index to database query
performance-profiler agent (launches Instruments)