julia-bench-quick

What problem does it solve?

This Skill helps developers quickly measure the performance of small Julia code snippets during development, identifying performance bottlenecks early.

Core Features & Use Cases

• Ad-hoc Benchmarking: Use the @btime macro for immediate performance feedback.
• Setup for Mutating Functions: Ensure accurate benchmarks for functions that modify their input.
• Allocation Measurement: Understand memory allocation overhead.
• Use Case: While writing a new function, you can use this skill to instantly check if a particular implementation is faster than another.

Quick Start

Use the julia-bench-quick skill to benchmark the sum of a random vector v using @btime sum($v).