model-evaluation-metrics

SKILL.md

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

Weekly Installs
19
GitHub Stars
1.6K
First Seen
Feb 16, 2026
Installed on
codex19
kimi-cli18
gemini-cli18
amp18
github-copilot18
opencode18