Run scalex performance benchmarks, profiling, and timing analysis. Use this skill whenever the user asks to benchmark scalex, measure performance, profile index/query times, compare before/after performance of a change, investigate bottlenecks, or mentions \"benchmark\", \"perf\", \"how fast\", \"timing\", \"hyperfine\", \"profile\", \"flame graph\", \"profiling\", \"--timings\", \"slow\", \"bottleneck\", \"regression\", \"memory\", \"heap\", \"GC\", \"allocation\". Also use proactively after implementing performance improvements to verify gains. Covers 6 layers: built-in --timings, hyperfine benchmarks, async-profiler flame graphs, JFR recording, microbenchmarks, and memory profiling.
$npx -y skills add nguyenyou/scalex --skill benchmarkInstalls into the current project.
Run `npx skills use "https://github.com/nguyenyou/scalex" --skill "nguyenyou/scalex/benchmark"` 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/nguyenyou/scalex" that are relevant to the current task. Run `npx skills add "https://github.com/nguyenyou/scalex"` and select the relevant skills, then follow their instructions.