performance-optimization

Installation
SKILL.md

Performance Optimization

Overview

Measure first, optimize second. Never optimize without data. The bottleneck is almost never where you think it is.

When to Use

  • Code is measurably slow or resource-heavy
  • Profiling has revealed specific bottlenecks
  • Designing a system with known performance requirements
  • Reviewing code for performance before production

When NOT to Use

  • You "feel like" code might be slow but haven't measured
  • Premature optimization during initial implementation
  • Micro-optimizations that don't move the needle
Installs
5
GitHub Stars
438
First Seen
Feb 28, 2026
performance-optimization — derhaken/superantigravity