Measure and improve Julia runtime performance with BenchmarkTools, profiling and allocation tools, inference diagnosis, data-layout changes, and guarded low-level optimizations. Use when Julia code is slow, allocation-heavy, type-unstable, or needs a reproducible performance baseline or regression check.
How to install optimize-julia-code?
krastanov/juliallmagentskills/optimize-julia-code
$npx -y skills add krastanov/juliallmagentskills --skill optimize-julia-codeInstalls into the current project.
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Run `npx skills use "https://github.com/krastanov/juliallmagentskills" --skill "krastanov/juliallmagentskills/optimize-julia-code"` 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/krastanov/juliallmagentskills" that are relevant to the current task. Run `npx skills add "https://github.com/krastanov/juliallmagentskills"` and select the relevant skills, then follow their instructions.
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