AI Dev Skills
Systematic testing of LLM outputs for quality, accuracy, and safety — run automatically in CI pipelines, just like unit tests. Evals catch regressions before they reach users.
Prevents quality regressions when models or prompts change. Without evals, every model upgrade is a gamble. Enterprise AI deployment increasingly requires documented eval results.
DeepEval and RAGAS are the community standards. Running evals in CI is now table stakes for production AI teams. The OpenAI evals framework popularized the approach.
4+ eval repos indicates an engineering culture that treats AI quality like software quality. They catch regressions automatically and can confidently ship model upgrades.
No repos in this skill area yet.