performance-engineering
byancoleman· 58 skills
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
How to install performance-engineering?
ancoleman/ai-design-components/performance-engineering
$npx -y skills add ancoleman/ai-design-components --skill performance-engineeringInstalls into the current project.
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Run `npx skills use "https://github.com/ancoleman/ai-design-components" --skill "ancoleman/ai-design-components/performance-engineering"` 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/ancoleman/ai-design-components" that are relevant to the current task. Run `npx skills add "https://github.com/ancoleman/ai-design-components"` and select the relevant skills, then follow their instructions.
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