Build model evaluation metrics operations. Auto-activating skill for ML Training. Triggers on: model evaluation metrics, model evaluation metrics Part of the ML Training skill category. Use when working with model evaluation metrics functionality. Trigger with phrases like "model evaluation metrics", "model metrics", "model".
4.0
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Machine Learning
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This skill is a template-like scaffold with minimal actionable content. The description is vague ('Build model evaluation metrics operations') and doesn't specify what metrics (accuracy, precision, recall, F1, ROC-AUC, etc.) or which frameworks are supported. Task knowledge is nearly absent—no concrete steps, code examples, or metric calculation guidance are provided. The structure is clear and well-organized with appropriate sections, but they contain only generic placeholder text. Novelty is low because calculating standard evaluation metrics is straightforward for a CLI agent with basic ML knowledge, and this skill adds no specialized logic, complex workflows, or token-saving automation. To improve: add specific metric implementations, framework integrations (sklearn, TensorFlow, PyTorch), code snippets for common metrics, and guidance on metric selection for different problem types.
jeremylongshore
Skill Author
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