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train-test-splitter

Train Test Splitter - Auto-activating skill for ML Training. Triggers on: train test splitter, train test splitter Part of the ML Training skill category.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill train-test-splitter
What are skills?

37

1.04x

Quality

7%

Does it follow best practices?

Impact

89%

1.04x

Average score across 3 eval scenarios

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/07-ml-training/train-test-splitter/SKILL.md
SKILL.md
Review
Evals

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

Repository
jeremylongshore/claude-code-plugins-plus-skills
Last updated
Created

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.