What metrics does the skill primarily analyze?

The skill focuses on critical performance indicators including response times, throughput (requests per second), and performance budget violations.

Does it require manual threshold setting?

While you can define specific thresholds, the skill is also capable of comparing current performance against historical data to find statistically significant deviations.

How does this skill detect regressions?

It compares current metrics like response time and throughput against historical baselines using statistical analysis and pre-defined threshold checks.

Can I integrate this with my existing CI/CD pipeline?

Yes, this skill is designed to run within CI/CD environments, utilizing tools like Bash and file reading to analyze build-time performance data.

Can it help identify the cause of a regression?

It provides a summary report highlighting where the regression occurred and the extent of the degradation, assisting developers in pinpointing the relevant code changes.

Performance Regression Detector

Name: Performance Regression Detector
Author: jeremylongshore

byjeremylongshore

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883

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Despliegue y DevOps

Identifies performance bottlenecks and regressions within CI/CD pipelines by analyzing system metrics against historical baselines.

The Performance Regression Detector skill empowers Claude to act as an automated performance engineer, identifying latency spikes, throughput drops, and resource violations early in the development lifecycle. By comparing real-time performance data against established baselines using statistical significance analysis, it helps developers prevent sub-optimal code from reaching production. This skill is essential for teams managing high-scale applications where maintaining consistent response times and throughput is critical for user experience and system stability.

Características Principales

01Automated baseline comparison for response times and throughput

02Statistical significance analysis to filter out metric noise

03Detailed reporting of performance bottlenecks and degradation

04Performance budget and threshold violation detection

05Integration with CI/CD environments via Bash and file analysis

06883 GitHub stars

Casos de Uso

01Comparing post-merge system throughput against historical stability baselines

02Detecting latency regressions after a major architectural refactor

03Validating that new feature merges stay within defined performance budgets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills performance-regression-detector

For use in Claude.ai and ChatGPT

Download Skill

Características Principales

01Automated baseline comparison for response times and throughput

02Statistical significance analysis to filter out metric noise

03Detailed reporting of performance bottlenecks and degradation

04Performance budget and threshold violation detection

05Integration with CI/CD environments via Bash and file analysis

06883 GitHub stars

Casos de Uso

01Comparing post-merge system throughput against historical stability baselines

02Detecting latency regressions after a major architectural refactor

03Validating that new feature merges stay within defined performance budgets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills performance-regression-detector

For use in Claude.ai and ChatGPT

Download Skill