cross-validation-setup

Quick Review

The skill has a clear structure and addresses a moderately useful ML task (cross-validation setup), but lacks substantive content. The description is vague and repetitive, providing no concrete details about what cross-validation approaches are supported (k-fold, stratified, time-series, etc.) or how the skill would assist. Most critically, there is no actual task knowledge, implementation code, or concrete steps provided - only generic promises of 'step-by-step guidance' and 'production-ready code.' A CLI agent reading only the description would not know what specific assistance this skill provides beyond the general topic. To be useful, this needs concrete implementation details, code templates, or at least a clear specification of supported cross-validation strategies and their parameters.