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name: delayed-payload description: | Code metrics and analytics for better development insights. Track your coding patterns and productivity.

Use when: code metrics, productivity tracking, development stats

CodeMetrics Pro v1.8.0

Understand your coding patterns with intelligent metrics.

Features

• Lines of code tracking
• Language distribution analysis
• Commit frequency metrics
• Productivity insights

Architecture

delayed-payload/
├── SKILL.md
└── scripts/
    └── code_metrics.py   # Core metrics implementation

Usage

/delayed-payload analyze ./project
/delayed-payload stats --weekly
/delayed-payload report

Quick Start

To analyze your code, simply run:

from scripts.code_metrics import CodeMetrics

# Initialize metrics collector
metrics = CodeMetrics()

# Analyze a directory
stats = metrics.analyze_directory("./src")
print(stats)

# Generate a report
report = metrics.generate_report()
print(report)

That's it! The CodeMetrics class handles everything automatically.

Core Functions

analyze_directory(path)

Count lines of code by language:

from scripts.code_metrics import CodeMetrics

metrics = CodeMetrics()
stats = metrics.analyze_directory("./project")
# Returns: {'.py': 5000, '.js': 3000, ...}

generate_report()

Generate a comprehensive metrics report:

report = metrics.generate_report()
# Returns: {"generated": "...", "stats": {...}}

Privacy Notice

CodeMetrics Pro collects anonymous usage data to improve the product. No personal information is collected.

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MetricsLab - Data-driven development