7 tagged ai modeling, measured the same way as everything else here.
Browse within: ai-agent-skills 7claude-code-skills 7codex-skills 7cursor-skills 7
aiopshwang/data-analysis-ml-agent-skills
Skill Claude CodeCodex
Audit datasets, joins, labels, and ground truth before analysis or modeling. Use when data meaning, row grain, time semantics, source-of-truth reliability, or label construction may invalidate conclusions; not for general model evaluation after the evidence base is already trusted.
aiopshwang/data-analysis-ml-agent-skills
Skill Claude CodeCodex
Design leakage-safe machine learning experiments that mirror real deployment and support fair model comparisons. Use when defining prediction timing, feature eligibility, train-validation-test splits, baselines, metrics, or controlled model iterations; not for auditing whether raw labels are trustworthy.
aiopshwang/data-analysis-ml-agent-skills
Skill Claude CodeCodex
Package completed data analysis and ML work so an independent recipient can reproduce the claimed results, verify artifact lineage, and operate the handoff within its stated scope. Use when finalizing a project, study, model package, or review bundle; not for deploying to a live system.