Optimize a performance problem by profiling to find the real bottleneck before changing anything, making one targeted change, and verifying both the improvement and that correctness did not degrade. Use when a feature is measurably slow, a page load or API response exceeds a budget, a query is taking too long, or a user reports sluggishness. Do not use to pre-optimize code that has not been measured to be slow.
How to install performance-optimization?
khaledsaeed18/dotclaude/performance-optimization
$npx -y skills add khaledsaeed18/dotclaude --skill performance-optimizationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/khaledsaeed18/dotclaude" --skill "khaledsaeed18/dotclaude/performance-optimization"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/khaledsaeed18/dotclaude" that are relevant to the current task. Run `npx skills add "https://github.com/khaledsaeed18/dotclaude"` and select the relevant skills, then follow their instructions.
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