Agent skill · data analytics · aj-geddes
performance-regression-debugging
Identify and debug performance regressions from code changes. Use comparison and profiling to locate what degraded performance and restore baseline metrics.
Why this skill is useful
Provides specific metrics and methods for identifying and debugging performance regressions that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-03-04. 307 stars on the source repository.
What this skill does
Performance Regression Debugging Table of Contents Overview When to Use Quick Start Reference Guides 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: 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
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aj-geddes/performance-regression-debugging