performance-regression-debugging
>
Works with
---
name: performance-regression-debugging
description: >
license: MIT
---
# Performance Regression Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## 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:
```javascript
// 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](references/detection-measurement.md) | Detection & Measurement |
| [Root Cause Identification](references/root-cause-identification.md) | Root Cause Identification |
| [Fixing & Verification](references/fixing-verification.md) | Fixing & Verification |
| [Prevention Measures](references/prevention-measures.md) | 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 valuesMore Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

