8 Skills from an AI Evals Course for Building AI Evaluations
Turning a paid evals course into reusable Claude Skills means the error-analysis-to-monitoring pipeline can be run as guided workflows rather than re-derived each time. Teams shipping LLM features who lack a dedicated evals engineer can adopt these directly to bootstrap their own evaluation loop. Compared with ad hoc prompt grading, the calibrated-evaluator approach reduces subjective scoring drift over time.
