julia-bench-run

Execute Julia benchmark suites locally and in CI with AirspeedVelocity.jl and BenchmarkTools.jl.

30|6|Updated Jan 21, 2026
One-click install
npx skills add https://github.com/Krastanov/JuliaLLMAgentSkills --skill julia-bench-run
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: julia-bench-run
Source: https://github.com/Krastanov/JuliaLLMAgentSkills/tree/main/julia-bench-run
Command: npx skills add https://github.com/Krastanov/JuliaLLMAgentSkills --skill julia-bench-run

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of running benchmark suites for Julia code, both locally and within Continuous Integration (CI) pipelines, enabling consistent performance tracking and analysis.

Core Features & Use Cases

  • Local Benchmarking: Execute benchmark suites directly on your development machine.
  • CI Performance Tracking: Integrate benchmark runs into CI workflows to monitor performance regressions or improvements over time.
  • Result Comparison: Compare current benchmark results against a baseline to identify significant changes.
  • Use Case: Automatically run performance tests for a critical Julia function on every commit to ensure that recent code changes haven't introduced performance degradations.

Quick Start

Run the benchmark suite using the julia-bench-run skill.

Frequently Asked Questions about julia-bench-run

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run Julia benchmarks in CI to detect performance regressions?

Run Julia benchmarks in CI by executing benchmark suites with AirspeedVelocity.jl and BenchmarkTools.jl, tracking performance regressions or improvements on every commit to ensure code changes do not introduce degradations.

What is the best way to track Julia package performance over time?

Track Julia package performance by running benchmark suites locally and within CI environments, saving and loading results to compare current benchmarks against a baseline and identify significant changes.

Can I compare benchmark results against a baseline with configurable tolerance in Julia?

Compare benchmark results against a baseline using configurable tolerance levels, allowing you to identify significant performance changes and analyze optimizations for your Julia packages.

Does this benchmarking approach work with GitHub Actions for Julia packages?

Yes, this benchmarking approach supports CI configuration via GitHub Actions, enabling automated performance monitoring and regression detection for Julia packages within your continuous integration pipelines.

How do I execute Julia benchmark suites locally for optimization analysis?

Execute Julia benchmark suites locally on your development machine using BenchmarkTools.jl, facilitating performance monitoring, regression detection, and optimization analysis for your Julia packages.

Why should I integrate benchmark runs into CI workflows for Julia code?

Integrate benchmark runs into CI workflows to automatically monitor performance regressions or improvements over time, ensuring that recent code changes to critical Julia functions have not introduced performance degradations.