detecting-performance-regressions

Solid

This skill enables Claude to automatically detect performance regressions in a CI/CD pipeline. It analyzes performance metrics, such as response time and throughput, and compares them against baselines or thresholds. Use this skill when the user requests to "detect performance regressions", "analyze performance metrics for regressions", or "find performance degradation" in a CI/CD environment. The skill is also triggered when the user mentions "baseline comparison", "statistical significance analysis", or "performance budget violations". It helps identify and report performance issues early in the development cycle.

AI & Automation 2,266 stars 315 forks Updated today MIT

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Skill Content

## 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 ...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

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