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perf-loop - Rust Performance Optimization Loop

Optimizes Rust performance using a strict measure-hypothesize-change-remeasure cycle with specific profiling tools and playbooks.

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Updated: 2026-09-21

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Measure baseline performance
  • Profile CPU and allocation bottlenecks
  • Formulate optimization hypotheses
  • Apply targeted performance playbooks
  • Remeasure and verify changes
  • Revert ineffective code changes

Inputs

  • Focus area or target function
  • Rust codebase and Cargo configurations
  • Benchmark scripts and profiling binaries

Outputs

  • Profiling data and performance logs
  • Code commits or git reverts
  • Performance summary reports

Requirements

  • Rust toolchain and Cargo
  • Profiling tools like samply and hyperfine
  • Node.js and pnpm environment
  • Minimum 20 GiB free disk space

Source

  • Spec: SKILL.md

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rust
performance
profiling
optimization
benchmarking
Measure baseline performance
Profile CPU and allocation bottlenecks
Formulate optimization hypotheses
Apply targeted performance playbooks
Focus area or target function
Rust codebase and Cargo configurations
Benchmark scripts and profiling binaries
Profiling data and performance logs
Code commits or git reverts
Performance summary reports