Splitting Datasets

foryourhealth111-pixel/splitting-datasets

| Split datasets into training, validation, and test partitions with the right stratification and temporal rules. Use as a narrow preprocessing helper once the broader ML workflow is already chosen, not as the main route owner for an end-to-end ML task.

3k tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

2583

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/foryourhealth111-pixel/Vibe-Skills --skill splitting-datasets

What comes with it

9 425 bytes besides the instruction

assets/README.md

assets/dataset_schema.json

assets/example_dataset.csv

assets/split_data_config.yaml

references/README.md

scripts/README.md

scripts/split_data.py

What it tells the agent to use

found in the instruction text

Bash runs shell commands — read the instruction before connecting

The instruction itself

6 sections, as written by the author

Dataset Splitter

Positioning

Treat this skill as a narrow helper for partition strategy.

When to Use

Use this skill when:

Prepare a dataset for machine learning model training.
Create training, validation, and testing sets.
Partition data to evaluate model performance.

Not For / Boundaries

Full preprocessing-pipeline ownership: use preprocessing-data-with-automated-pipelines
Leakage audits and prediction-time checks: use ml-data-leakage-guard
Model training and tuning after the split: use scikit-learn

Typical Outputs

Partition strategy with ratios, random seeds, and stratification rules
Notes on temporal or grouped split constraints
Handoff guidance for leakage review and downstream training

preprocessing-data-with-automated-pipelines for the broader preprocessing sequence
ml-data-leakage-guard to verify the split does not leak future or test information

How to use it

Copy the folder

Take foryourhealth111-pixel/splitting-datasets from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.