Agent Skills: Performance Regression Debugging

Identify and debug performance regressions from code changes. Use comparison and profiling to locate what degraded performance and restore baseline metrics.

UncategorizedID: aj-geddes/useful-ai-prompts/performance-regression-debugging

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pnpm dlx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/HEAD/skills/performance-regression-debugging

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skills/performance-regression-debugging/SKILL.md

Skill Metadata

Name
performance-regression-debugging
Description
>

Performance Regression Debugging

Table of Contents

Overview

Performance regressions occur when code changes degrade application performance. Detection and quick resolution are critical.

When to Use

  • After deployment performance degrades
  • Metrics show negative trend
  • User complaints about slowness
  • A/B testing shows variance
  • Regular performance monitoring

Quick Start

Minimal working example:

// Before: 500ms response time
// After: 1000ms response time (2x slower = regression)

// Capture baseline metrics
const baseline = {
  responseTime: 500, // ms
  timeToInteractive: 2000, // ms
  largestContentfulPaint: 1500, // ms
  memoryUsage: 50, // MB
  bundleSize: 150, // KB gzipped
};

// Monitor after change
const current = {
  responseTime: 1000,
  timeToInteractive: 4000,
  largestContentfulPaint: 3000,
  memoryUsage: 150,
  bundleSize: 200,
};

// Calculate regression
const regressions = {};
for (let metric in baseline) {
  const change = (current[metric] - baseline[metric]) / baseline[metric];
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | Detection & Measurement | Detection & Measurement | | Root Cause Identification | Root Cause Identification | | Fixing & Verification | Fixing & Verification | | Prevention Measures | Prevention Measures |

Best Practices

✅ DO

  • Follow established patterns and conventions
  • Write clean, maintainable code
  • Add appropriate documentation
  • Test thoroughly before deploying

❌ DON'T

  • Skip testing or validation
  • Ignore error handling
  • Hard-code configuration values