detecting-performance-regressions
关于
This skill automatically detects performance regressions in CI/CD pipelines by analyzing metrics like response time and throughput. It compares current performance against baselines or thresholds and performs statistical significance analysis to identify degradation. Use it to catch performance issues early when users mention regression detection, baseline comparison, or performance budget violations.
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
- Analyze Performance Data: The plugin gathers performance metrics from the CI/CD environment.
- Detect Regressions: It employs methods like baseline comparison, statistical analysis, and threshold checks to detect regressions.
- 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:
- Analyze response time metrics from the latest build.
- Compare the response times against a historical baseline.
- 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:
- Gather throughput data (requests per second) from the post-merge CI/CD run.
- Compare the throughput to pre-merge values, looking for statistically significant drops.
- 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.
快速安装
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus/tree/main/performance-regression-detector在 Claude Code 中复制并粘贴此命令以安装该技能
GitHub 仓库
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