performance-engineering
maintained by wizardengineer
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MIT License
Systems-level performance engineering for Rust, C/C++, and Python codebases. Use when profiling, debugging performance bottlenecks, analyzing CPU/memory usage, finding slow code paths, optimizing hot loops, investigating cache misses, analyzing compile times, or improving runtime performance. Triggers on queries about flamegraphs, perf, valgrind, profilers, benchmarking, or "why is this slow".
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Skill Details
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Created
Jan 2026
Last Updated
4个月前
tools
tools debugging
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