bakeoff

Runs a controlled benchmark suite across multiple configurations and iterations.

57|18|Updated Jul 9, 2025
One-click install
npx skills add https://github.com/mattmireles/kokoro-coreml --skill bakeoff-mattmireles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bakeoff
Source: https://github.com/mattmireles/kokoro-coreml/tree/main/.claude/skills/bakeoff
Command: npx skills add https://github.com/mattmireles/kokoro-coreml --skill bakeoff-mattmireles

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the need for a comprehensive benchmarking suite to evaluate machine performance across various configurations and settings.

Core Features & Use Cases

  • Benchmarking Suite: Run the controlled bakeoff benchmark to assess machine performance.
  • Configuration Flexibility: Offers a range of configurations to suit different testing needs.
  • Data Collection: Records and outputs detailed performance data for analysis.
  • Use Case: Use this Skill to benchmark a new machine and ensure it meets the required performance standards before deployment.

Quick Start

Run the bakeoff benchmark on the current machine by executing the command: bash scripts/setup_bakeoff.sh && uv run --no-sync python scripts/bakeoff_harness.py run --configs a,d,e,f --iterations 5 --order-seed 0 --machine-id <machine_id>

Frequently Asked Questions about bakeoff

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

FAQPage Schema
How do I benchmark machine performance before deployment?

To benchmark machine performance before deployment, execute the bakeoff harness script to run controlled performance tests across configurations A, D, E, and F with multiple iterations. This generates detailed performance data for analysis.

What is a comprehensive benchmarking suite for evaluating machine performance?

A comprehensive benchmarking suite is a controlled testing environment that evaluates machine performance capabilities across multiple configurations. It ensures robust and fair performance assessment through multiple test iterations.

Can I run specific test configurations during a machine performance evaluation?

Yes, you can run specific test configurations during a machine performance evaluation by passing the desired configuration identifiers, such as a, d, e, and f, to the benchmarking harness script.

How do I ensure a fair performance evaluation when benchmarking machine performance?

You ensure a fair performance evaluation by running the benchmarking suite with multiple iterations and utilizing an order seed. This controlled approach guarantees consistent and robust assessment of machine capabilities.

Do I need any external dependencies to run the benchmarking suite?

No external dependencies are required to run the benchmarking suite. You only need to execute the setup script and run the harness using standard Python environment commands to assess machine performance.

What's the best way to collect performance data for a new machine?

The best way to collect performance data for a new machine is to execute the benchmarking harness, which records and outputs detailed performance metrics across various test configurations for thorough analysis.