benchmark-optimization-loop

What problem does it solve?

Converts vague requests to faster systems by orchestrating a bounded, measurable optimization loop: establish a baseline, generate variants, run experiments, and choose a safe winner.

Core Features & Use Cases

• Measure the baseline and identify bottlenecks with data.
• Generate and test variants that test one hypothesis at a time.
• Promote the fastest safe variant and codify the winning approach for automation.
• Use cases include performance tuning, latency reduction, and cost optimization across components.

Quick Start

Provide the operation to optimize and the current baseline, and the skill will begin a bounded, measured optimization loop.