foryourhealth111-pixel/data-normalization-tool
bundled/skills/data-normalization-tool/SKILL.md
Scale and normalize numeric features for model-ready pipelines. Use for z-score, min-max, robust scaling, and train-only statistic handling; not for leakage audits or broader feature-engineering ownership.
$ install --global
skillsauthnpx skillsauth add foryourhealth111-pixel/vco-skills-codex data-normalization-toolInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- data-normalization-tool
- description:
- |
- allowed-tools:
- Read, Write, Edit, Bash(python:*), Bash(pip:*)
- version:
- 1.0.0
- license:
- MIT
- author:
- Jeremy Longshore <[email protected]>
Data Normalization Tool
Purpose
Use this skill when the task is specifically about scaling or normalizing features before fitting a model.
When to Use
Use this skill when:
- Choosing between standardization, min-max, robust scaling, or log transforms
- Normalizing train/test data without contaminating evaluation
- Preparing numeric features for distance-based or gradient-based models
Not For / Boundaries
- Broader feature creation or encoding: use
engineering-features-for-machine-learning - Leakage review of the whole preprocessing chain: use
ml-data-leakage-guard - Final model evaluation: use
evaluating-machine-learning-models
Typical Outputs
- Normalization strategy recommendations
- Train-only fit / test-only transform workflow
- Warnings about skew, outliers, and metric sensitivity
Related Skills
engineering-features-for-machine-learningfor the surrounding preprocessing planml-data-leakage-guardto verify the normalization order is safe
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