About
This skill provides a systematic framework for evaluating AI prompts by conducting rigorous A/B testing against custom datasets. It enables developers to quantify prompt quality through metrics like accuracy and consistency, optimize for efficiency by tracking token usage and latency, and ensure robustness against edge cases. By automating the data collection and comparison process, it transforms prompt engineering from a trial-and-error process into a data-driven discipline, providing clear recommendations on when to adopt prompt iterations.
