Performance Regression Detector

About

This skill automates the critical process of monitoring application performance during the development lifecycle, ensuring that new code merges do not introduce latency or throughput issues. By integrating statistical significance analysis and threshold-based checks directly into the Claude Code workflow, it allows developers to catch regressions early, maintain performance budgets, and receive detailed reports on potential bottlenecks before they reach production. It is an essential tool for teams prioritizing high-performance standards and reliable software delivery.

Key Features

• Detailed automated reporting on performance bottlenecks and impact
• Statistical significance analysis for accurate regression detection
• Real-time monitoring of response times and system throughput
• Performance budget and threshold violation alerting
• Automated baseline comparison against historical performance data
• 0 GitHub stars

Use Cases

• Identifying response time spikes after a specific build or code merge
• Validating system performance against pre-defined performance budgets
• Detecting throughput drops in a post-merge CI/CD environment