Process identify anomalies and outliers in datasets using machine learning algorithms. Use when analyzing data for unusual patterns, outliers, or unexpected deviations from normal behavior. Trigger with phrases like "detect anomalies", "find outliers", or "identify unusual patterns".
5.8
Rating
0
Installs
Machine Learning
Category
A well-structured anomaly detection skill with clear separation of concerns across referenced files. The description adequately covers when to use the skill with concrete trigger phrases. Task knowledge is solid with prerequisites, step-by-step instructions, and references to implementation details, algorithms, and error handling. Structure is clean with a concise SKILL.md that delegates details to referenced files. Novelty is moderate—while anomaly detection can be complex, many standard ML libraries provide built-in functions for common algorithms (Isolation Forest, LOF, One-Class SVM), so the skill provides meaningful but not exceptional cost reduction over a CLI agent using existing tools directly.
jeremylongshore
Skill Author
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