benchmark-functions

Measure function performance and compare implementations. Use when optimizing critical code paths.

Stars 163

Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/benchmark-functions

SKILL.md

Benchmark Functions

Systematically measure function execution time, memory usage, and performance characteristics to identify optimization opportunities.

When to Use

Comparing different algorithm implementations
Measuring performance before/after optimization
Profiling SIMD vs scalar implementations
Establishing performance baselines for CI/CD

Quick Reference

bash

# Python benchmarking with timeit
python3 -m timeit -s 'import module' 'module.function(args)' -n 1000 -r 5

# Mojo benchmarking with built-in timing
mojo run benchmark_script.mojo

Workflow

Set up benchmarks: Create timing harness with warm-up iterations
Run measurements: Execute function multiple times, record timing
Collect statistics: Calculate mean, median, std deviation
Compare baselines: Compare against previous implementations
Identify bottlenecks: Pinpoint functions needing optimization

Output Format

Benchmark report:

Function name and parameters tested
Execution time statistics (mean, median, min, max)
Memory usage (if applicable)
Comparison to baseline (improvement percentage)
Iterations and sample size used

References

See profile-code skill for detailed performance profiling
See suggest-optimizations skill for improvement strategies
See CLAUDE.md > Performance for Mojo optimization guidelines