model-evaluation-metrics

model-evaluation-metrics follows the SKILL.md standard. Use the install command to add it to your agent stack.

---
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