performance-engineering

Features and purpose

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".

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.