Skillshub model-evaluation-metrics
install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/jeremylongshore/claude-code-plugins-plus-skills/model-evaluation-metrics" ~/.claude/skills/comeonoliver-skillshub-model-evaluation-metrics && rm -rf "$T"
manifest:
skills/jeremylongshore/claude-code-plugins-plus-skills/model-evaluation-metrics/SKILL.mdsource content
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