splitting-datasets
This skill automates dataset splitting for ML workflows by generating Python code to create training, validation, and test sets from CSV files. It handles common split ratios and produces separate output files for each subset.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install jeremylongshore-claude-code-plugins-plus-skills-splitting-datasets
Repository
Skill path: plugins/ai-ml/dataset-splitter/skills/splitting-datasets
This skill automates dataset splitting for ML workflows by generating Python code to create training, validation, and test sets from CSV files. It handles common split ratios and produces separate output files for each subset.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Testing.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: jeremylongshore.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install splitting-datasets into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/jeremylongshore/claude-code-plugins-plus-skills before adding splitting-datasets to shared team environments
- Use splitting-datasets for ai/ml workflows
Works across
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Sub-skills: 0.
Aggregator: No.