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Calculate code quality metrics - complexity, coverage, maintainability
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
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
Parse and analyze macOS crash logs to identify crash causes and debugging information
Parse and validate XIB/Storyboard files for broken outlets, warnings, accessibility
| name | code-metrics-analyzer |
| description | Calculate code quality metrics - complexity, coverage, maintainability |
| type | skill |
| language | python |
Measure code quality through various metrics.
code_metrics.py - Calculate various code metrics
# Analyze project
./code_metrics.py analyze --source-dir PaleoRose
# Find complex methods
./code_metrics.py complex --threshold 10
# Generate report
./code_metrics.py report --format html
Code Metrics Summary
====================
Total Files: 104
Total LOC: 15,234
Average Complexity: 4.2
Most Complex Files:
1. XRoseTableController.m (complexity: 28)
2. InMemoryStore.swift (complexity: 22)
3. DocumentModel.swift (complexity: 18)
Refactoring Candidates:
- XRoseTableController.configureController (complexity: 15)
- InMemoryStore.readFromStore (complexity: 12)