MCP HubMCP Hub
返回技能列表

detecting-performance-regressions

jeremylongshore
更新于 Today
56 次查看
712
74
712
在 GitHub 上查看
aiautomation

关于

This skill automatically detects performance regressions in CI/CD pipelines by analyzing metrics like response time and throughput against baselines or thresholds. It uses methods such as statistical significance analysis and performance budget violation checks to identify degradations. Developers should use it to find and report performance issues early when requests involve baseline comparisons or finding performance degradation.

快速安装

Claude Code

推荐
插件命令推荐
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus
Git 克隆备选方式
git clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/detecting-performance-regressions

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

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.

Best Practices

  • Define Baselines: Establish clear and representative performance baselines for accurate comparison.
  • Set Thresholds: Configure appropriate thresholds for identifying significant performance regressions.
  • Monitor Key Metrics: Focus on monitoring critical performance metrics relevant to the application's behavior.

Integration

This skill can be integrated with other CI/CD tools to automatically trigger regression detection upon new builds or code merges. It can also be combined with reporting plugins to generate detailed performance reports.

GitHub 仓库

jeremylongshore/claude-code-plugins-plus
路径: backups/skills-batch-20251204-000554/plugins/performance/performance-regression-detector/skills/performance-regression-detector
aiautomationclaude-codedevopsmarketplacemcp

相关推荐技能