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performance-optimization

Use when performance is a real concern — measure first, isolate the bottleneck, and prove the improvement instead of guessing

skills/development/performance-optimization/SKILL.md

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# Performance Optimization

Do not optimize by instinct. Start with measurement, change one thing at a time, and confirm the
result with the same metric you used at the beginning.

## When to Use

- A user or monitoring system reports a slow page, endpoint, query, or job
- A new feature needs a performance baseline before release
- You suspect a regression and need evidence before changing code
- A hot path is doing real work at scale and latency or throughput matters

## When NOT to Use