Skip to content
Back to skills

Cross Validation Setup

ASecurity

'Configure cross validation setup operations. Auto-activating skill for

  • 2,719 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added September 21, 2026
ai-agentspythongobashdocumentation

Works with

  • claude code

Security analysis

A100/100

Scanned September 21, 2026

npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill cross-validation-setup --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Cross Validation Setup?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Cross Validation Setup
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/jeremylongshore-cross-validation-setup-43057ace/badge)](https://www.skillsdirectory.com/skills/jeremylongshore-cross-validation-setup-43057ace)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: cross-validation-setup
description: 'Configure cross validation setup operations. Auto-activating skill for
  ML Training.

  Triggers on: cross validation setup, cross validation setup

  Part of the ML Training skill category. Use when working with cross validation setup
  functionality. Trigger with phrases like "cross validation setup", "cross setup",
  "cross".

  '
allowed-tools: Read, Write, Edit, Bash(python:*), Bash(pip:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- ai
- machine-learning
compatibility: Designed for Claude Code
---
# 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

1. Provides step-by-step guidance for cross validation setup
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 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

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.