performance-optimization

Installation
SKILL.md

Performance Optimization

Systematic approach to identifying and fixing performance bottlenecks.

Key Principles

  • Measure first — Never optimize without data; establish baseline metrics
  • Identify bottleneck type — Network, CPU, memory, I/O, or rendering
  • One change at a time — Apply targeted fix, re-measure, compare against baseline
  • Quick wins first — Check compression, caching, indexes, N+1 queries before deep optimization

Core Web Vitals Targets

Metric Good Poor
LCP (Largest Contentful Paint) < 2.5s > 4.0s
INP (Interaction to Next Paint) < 200ms > 500ms
CLS (Cumulative Layout Shift) < 0.1 > 0.25
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Installs
17
GitHub Stars
7
First Seen
Jan 24, 2026