data-normalization-tool

Data Normalization Tool - Auto-activating skill for ML Training. Triggers on: data normalization tool, data normalization tool Part of the ML Training skill category.

1.00x

Quality

Does it follow best practices?

Impact

99%

1.00x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/07-ml-training/data-normalization-tool/SKILL.md

Evaluation results

97%

Prepare Customer Churn Dataset for ML Training

Python sklearn normalization pipeline

Criteria

Without context

With context

Python implementation

100%

sklearn usage

100%

Normalization applied

100%

requirements.txt present

100%

Excludes target column

100%

Output file produced

100%

Summary output

100%

Production-ready structure

70%

pip-installable dependencies

100%

Without context: $0.2527 · 1m 8s · 18 turns · 19 in / 2,800 out tokens

With context: $0.5096 · 1m 50s · 33 turns · 65 in / 5,367 out tokens

100%

Set Up Image Data Normalization for Neural Network Training

PyTorch training data normalization

Criteria

Without context

With context

Python implementation

100%

PyTorch usage

100%

Normalization transform

100%

DataLoader or Dataset

100%

requirements.txt

100%

Stats printed

100%

Production-ready structure

100%

pip-installable dependencies

100%

No large file downloads

100%

Without context: $0.3693 · 2m 42s · 24 turns · 25 in / 4,803 out tokens

With context: $0.4824 · 3m 14s · 29 turns · 62 in / 5,749 out tokens

100%

Build a Reproducible ML Training Pipeline for Regression

End-to-end ML training pipeline

Criteria

Without context

With context

Python implementation

100%

sklearn or pytorch/tensorflow

100%

Normalization applied

100%

Train/test split

100%

Model training

100%

Experiment log written

100%

Hyperparameters logged

100%

Evaluation metrics logged

100%

requirements.txt present

100%

pip-installable dependencies

100%

Without context: $0.4052 · 1m 36s · 24 turns · 25 in / 4,881 out tokens

With context: $0.5391 · 2m 6s · 30 turns · 31 in / 6,695 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 994edc4

Evaluated: 18 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Prepare Customer Churn Dataset for ML Training Set Up Image Data Normalization for Neural Network Training Build a Reproducible ML Training Pipeline for Regression

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