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".
5.2
Rating
0
Installs
Machine Learning
Category
The skill provides a reasonable framework for anomaly detection with clear prerequisites, structured steps, and references to external documentation. The description adequately covers what the skill does and when to use it. Task knowledge is decent with a logical workflow from data loading through anomaly classification, and the structure appropriately delegates details to referenced files. However, novelty is limited—a CLI agent with ML library access could perform basic anomaly detection without this skill, though the skill does provide some value in organizing the workflow and handling multiple algorithms. The main weaknesses are lack of concrete algorithm selection guidance in the main instructions and relatively standard functionality that doesn't represent a high barrier for an LLM agent.
jeremylongshore
Skill Author
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