name: model-evaluation-metrics description: | Model Evaluation Metrics - Auto-activating skill for ML Training. Triggers on: model evaluation metrics, model evaluation metrics Part of the ML Training skill category. allowed-tools: Read, Write, Edit, Bash(python:), Bash(pip:) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Model Evaluation Metrics

Purpose

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.

Capabilities

• 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

Example Triggers

• "Help me with model evaluation metrics"
• "Set up model evaluation metrics"
• "How do I implement model evaluation metrics?"

Related Skills

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