data-normalization-tool

Name: data-normalization-tool - Agent Skill
Rating: 5.0 (1046 reviews)
Author: jeremylongshore

1,046

MIT

Process data normalization tool operations. Auto-activating skill for ML Training. Triggers on: data normalization tool, data normalization tool Part of the ML Training skill category. Use when working with data normalization tool functionality. Trigger with phrases like "data normalization tool", "data tool", "data".

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CLI Install

Recommended

Use the skills CLI to install this skill with one command. Auto-detects all installed AI assistants.

Method 1 - skills CLI

npx skills i jeremylongshore/claude-code-plugins-plus-skills/skills/07-ml-training/data-normalization-tool

Method 2 - openskills (supports sync & update)

npx openskills install jeremylongshore/claude-code-plugins-plus-skills

Auto-detects Claude Code, Cursor, Codex CLI, Gemini CLI, and more. One install, works everywhere.

Installation Path

Download and extract to one of the following locations:

~/.claude/skills/data-normalization-tool/

SKILL.md

Skill Instructions

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Claude Sonnet 4.5

$0.20/task

Best for coding tasks

No setup required

Data Normalization Tool

Overview

This skill provides automated assistance for data normalization tool tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

Mention "data normalization tool" in your request
Ask about data normalization tool 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 data normalization tool
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 data normalization tool" 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

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