Skillshub train-test-splitter
install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/jeremylongshore/claude-code-plugins-plus-skills/train-test-splitter" ~/.claude/skills/comeonoliver-skillshub-train-test-splitter && rm -rf "$T"
manifest:
skills/jeremylongshore/claude-code-plugins-plus-skills/train-test-splitter/SKILL.mdsource content
Train Test Splitter
Purpose
This skill provides automated assistance for train test splitter tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "train test splitter" in your request
- Ask about train test splitter patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Capabilities
- Provides step-by-step guidance for train test splitter
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with train test splitter"
- "Set up train test splitter"
- "How do I implement train test splitter?"
Related Skills
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn