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Python tools for analyzing Instruments traces and performance data
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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
| 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)