splitting-datasets

2 stars
17

This skill enables Claude to split datasets into training, validation, and testing sets. It is useful when preparing data for machine learning model development. Use this skill when the user requests to split a dataset, create train-test splits, or needs data partitioning for model training. The skill is triggered by terms like "split dataset," "train-test split," "validation set," or "data partitioning."

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Installation for Agentic Skill

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skilz install jeremylongshore/claude-code-plugins-nixtla/splitting-datasets
skilz install jeremylongshore/claude-code-plugins-nixtla/splitting-datasets --agent opencode
skilz install jeremylongshore/claude-code-plugins-nixtla/splitting-datasets --agent codex
skilz install jeremylongshore/claude-code-plugins-nixtla/splitting-datasets --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/jeremylongshore/claude-code-plugins-nixtla
2. Copy the agent skill directory:
cp -r claude-code-plugins-nixtla/archive/backups-20251108/skills-migration-20251108-070147/plugins/ai-ml/dataset-splitter/skills/dataset-splitter ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Stars
2
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Market Score
17

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