anomaly-detection

# Anomaly Detection Implement anomaly detection systems for outlier identification ## Risk Level **HIGH** ## Core Rules - Calibrate thresholds - validate detection - test edge cases ## Response Pattern ### When Using This Skill 1. Configure detection 2. tune thresholds 3. validate results 4. Ensure performance meets requirements ## Usage Contexts - Outlier detection - fraud detection ## What NOT to Do - False positives - false negatives - poor threshold selection ## Key Requirements - Understand the use cases before application - Follow the documented response pattern - Validate results in the target environment - Monitor for performance impact ## Further Learning Review related skills and documentation for deeper understanding of related systems and best practices.