Skip to main content Build model evaluation metrics operations. Auto-activating skill for ML Training.
Triggers on: model evaluation metrics, model evaluation metrics
Part of the ML Training skill category. Use when working with model evaluation metrics functionality. Trigger with phrases like "model evaluation metrics", "model metrics", "model".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill model-evaluation-metrics ai automation claude-code devops mcp ai-agents
Model Evaluation Metrics
Overview
This skill provides automated assistance for model evaluation metrics tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
Mention "model evaluation metrics" in your request
Ask about model evaluation metrics 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 model evaluation metrics
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 model evaluation metrics"
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
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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