Cross validation setup
Skill jeremylongshore/claude-code-plugins-plus-skills/skills/07-ml-training/cross-validation-setup
'Configure cross validation setup operations. Auto-activating skill for ML Training.From its SKILL.md
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill cross-validation-setupAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
2.2 KB, 307 tokens by cl100k_base, as published. Nobody here has run it
Cross Validation Setup
Overview
This skill provides automated assistance for cross validation setup tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "cross validation setup" in your request
- Ask about cross validation setup patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Instructions
- Provides step-by-step guidance for cross validation setup
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with cross validation setup" 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
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most project setup skills give in 307 tokens
Counted across 1,553 of the 3,091 authors here whose files we hold, read 2026-09-06
- Write the configuration filein 36 of 1553
- Create the directory structurein 35 of 1553, across 33 files
- Verify the setupin 31 of 1553, across 28 files
- Run the setup scriptin 30 of 1553, across 29 files
- Pre-determine the required sample sizein 29 of 1553, across 12 files
- Check if the configuration already existsin 29 of 1553
- Document every testin 26 of 1553, across 10 files
- Start with a hypothesisin 26 of 1553, across 11 files
- Ask one question at a timein 22 of 1553
- Test a single variable per testin 21 of 1553, across 9 files
- Read product marketing context before asking questionsin 19 of 1553, across 8 files
- Do not peek and stop earlyin 18 of 1553, across 7 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.