ai-evaluation

What problem does it solve?

This skill enables teams to design and run structured evaluation suites for AI/LLM products, providing repeatable tests and measurable quality signals to catch regressions before deployment.

Core Features & Use Cases

• Eval suite design: Define what to measure across classification, generation, and retrieval tasks to enable consistent comparisons.
• Metrics & datasets: Create golden datasets, establish scoring rubrics, and automate result tracking over time.
• Automation & governance: Build repeatable pipelines with test runners, regression detection, and reporting dashboards to enable fast, safe iteration.

Quick Start

Describe your evaluation goal, select the metrics you want to track (accuracy, relevance, safety), assemble a starter golden dataset, and run the evaluation workflow to generate a baseline report.