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Cf Train Test Splitter

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Test train test splitter operations. Auto-activating skill for ML Training. Triggers on: train test splitter, train test splitter Part of the ML Training skill category. Use when writing or running tests. Trigger with phrases like "train test splitter", "train splitter", "train".

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  • Added November 11, 2026
datapythongobashdocumentation

Security analysis

A100/100

Scanned November 11, 2026

npx -y skills add pauldx/claudifying --skill cf-train-test-splitter --agent claude-code

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SKILL.md
---
name: "train-test-splitter"
description: |
  Test train test splitter operations. Auto-activating skill for ML Training.
  Triggers on: train test splitter, train test splitter
  Part of the ML Training skill category. Use when writing or running tests. Trigger with phrases like "train test splitter", "train splitter", "train".
allowed-tools: "Read, Write, Edit, Bash(python:*), Bash(pip:*)"
version: 1.0.0
license: MIT
compatible-with: claude-code
---

# Train Test Splitter

## Overview

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.

## Instructions

1. Provides step-by-step guidance for train test splitter
2. Follows industry best practices and patterns
3. Generates production-ready code and configurations
4. Validates outputs against common standards

## Examples

**Example: Basic Usage**
Request: "Help me with train test splitter"
Result: Provides step-by-step guidance and generates appropriate configurations


## Prerequisites

- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of ml training concepts


## Output

- Generated configurations and code
- Best practice recommendations
- Validation results


## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |


## Resources

- Official documentation for related tools
- Best practices guides
- Community examples and tutorials

## Related Skills

Part of the **ML Training** skill category.
Tags: ml, training, pytorch, tensorflow, sklearn

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