Agent skill · data analytics · jeremylongshore

detecting-performance-regressions

Automatically detect performance regressions in CI/CD pipelines by comparing

Why this skill is useful

Adds statistical analysis methods and baseline comparison techniques for detecting performance regressions that the AI wouldn't reliably generate on its own.

What it needs

About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.

What this skill does

Performance Regression Detector Detect performance regressions in CI/CD pipelines by comparing response times, throughput, and resource usage against historical baselines using statistical analysis. Overview This skill automates the detection of performance regressions within a CI/CD pipeline. It utilizes various methods, including baseline comparison, statistical analysis, and threshold violation checks, to identify performance degradation. The skill provides insights into potential performance bottlenecks and helps maintain application performance. How It Works 1. Analyze Performance Data: The plugin gathers performance metrics from the CI/CD environment. 2. Detect Regressions: It employs methods like baseline comparison, statistical analysis, and threshold checks to detect regressions. 3. Report Findings: The plugin generates a report summarizing the detected performance regressions and their potential impact. When to Use This Skill This skill activates when you need to: Identify performance regressions in a CI/CD pipeline. Analyze performance metrics for potential degradation. Compare current performance against historical baselines. Examples Example 1: Identifying a Response Time Regression User request: "Detect performance regressions in the latest build. Specifically, check for increases in response time." The skill will: 1. Analyze response time metrics from the latest build. 2. Compare the response times against a historical baseline. 3. Report any statistically significant increases in response time that exceed a defined threshold. Example 2: Detecting Throughput Degradation User request: "Analyze throughput for performance regressions after the recent code merge." The skill will: 1. Gather throughput data (requests per second) from the post-merge CI/CD run. 2. Compare the throughput to pre-merge values, looking for statistically significant drops. 3. Generate a report highlighting any throughput degradation, indicating a potential performance regression. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills jeremylongshore/detecting-performance-regressions

View the source on GitHub

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