Agent skill · research science · jeremylongshore
model-evaluation-metrics
Build model evaluation metrics operations. Auto-activating skill for
Why this skill is useful
Generates production-ready code and configurations for model evaluation metrics that the AI wouldn't reliably produce on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
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 1. Provides step-by-step guidance for model evaluation metrics 2. Follows industry best practices and patterns 3. Generates production-ready code and configurations 4. 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 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 Related Skills Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/model-evaluation-metrics