Does it support performance budgets?

Yes, the skill can be configured to monitor for performance budget violations based on predefined thresholds set by the user.

What specific metrics does the skill analyze?

It primarily focuses on key performance indicators like response time and throughput (requests per second) to identify potential degradation.

How does this skill detect performance regressions?

The skill uses a combination of baseline comparison, statistical significance analysis, and threshold violation checks against performance metrics gathered from the CI/CD environment.

Can I integrate this with existing CI/CD tools?

Yes, this skill is designed to integrate with CI/CD pipelines to automatically trigger regression detection upon new builds or code merges.

Performance Regression Detector

Name: Performance Regression Detector
Author: jeremylongshore

byjeremylongshore

•

883

Deployment & DevOps

Automates the identification of performance bottlenecks and regressions within CI/CD pipelines using statistical analysis and baseline comparison.

About

This skill empowers Claude to monitor and analyze critical performance metrics such as response time and throughput directly within your CI/CD workflow. By comparing current build data against historical baselines and predefined performance budgets, it identifies statistically significant degradations, helping development teams catch and resolve performance issues early in the development cycle before they impact production environments.

Key Features

Performance budget violation reporting
883 GitHub stars
Statistical significance testing for regressions
Automated CI/CD performance metric analysis
Historical baseline performance comparison
Throughput and response time monitoring

Use Cases

Identifying throughput drops in the latest deployment build
Detecting response time spikes after a major code merge
Monitoring application performance against established historical baselines

About

Key Features

Performance budget violation reporting
883 GitHub stars
Statistical significance testing for regressions
Automated CI/CD performance metric analysis
Historical baseline performance comparison
Throughput and response time monitoring

Use Cases

Identifying throughput drops in the latest deployment build
Detecting response time spikes after a major code merge
Monitoring application performance against established historical baselines