data-normalization-tool

Quick Review

The skill has a clear structure but critically lacks specific implementation details. The description is too generic and repetitive ('data normalization tool' appears verbatim throughout without explaining what it actually does). There's no concrete guidance on normalization techniques (min-max, z-score, etc.), no code examples, and no actual normalization logic. While data normalization is a valuable ML preprocessing task that could reduce token costs, this implementation provides only a template without substantive content. To improve: add specific normalization methods, parameters (feature ranges, scaling types), code snippets for common libraries (sklearn, pandas), and clear input/output specifications.