Performance Optimization Advisor
Produce a prioritized performance-optimization roadmap across frontend, backend, and infrastructure. Use as an explicit/manual helper after bottlenecks are known or suspected, not as the owner of regression detection, profiling capture, or test execution.
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# Performance Optimization Advisor ## Positioning Treat this skill as an explicit/manual advisor for prioritizing optimization work. ## When to Use Use this skill when: - Prioritizing known or suspected performance bottlenecks from existing logs, traces, benchmarks, or user reports. - Get recommendations for improving website loading speed. - Optimize database query performance. - Improve API response times. - Reduce infrastructure costs. ## Not For / Boundaries - Build-to-build regression detection: use `detecting-performance-regressions` - Raw benchmark execution or profiling capture: use `performance-testing` - Test-result packaging for QA audiences: use `generating-test-reports` ## Typical Outputs - A ranked optimization backlog by impact and effort - Concrete hotspots by layer: frontend, backend, infra, or database - Suggested validation steps to prove the optimization worked ## Related Skills - `detecting-performance-regressions` to prove there is a real regression - `performance-testing` to collect the measurements behind the advice
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