data-normalization-tool

Quick Review

The skill has a clear structure but severely lacks specificity. The description is extremely generic and repetitive ('data normalization tool' appears 8 times without explaining what it does). It fails to describe what data normalization actually means (min-max scaling, z-score normalization, etc.), what input formats are supported, or what concrete outputs are produced. No implementation details, code examples, normalization techniques, or actionable steps are provided. A CLI agent cannot meaningfully invoke this skill based solely on the description, as it doesn't know whether the skill handles standardization, min-max scaling, robust scaling, or other normalization methods. While data normalization is a valuable ML preprocessing task (moderate novelty), the skill documentation provides almost no useful task knowledge beyond stating it exists.