Anomaly detection expert backed by PyOD's ADEngine. Drives autonomous detection workflows on tabular, time series, graph, text, and image data: profiling, planning, multi-detector comparison, quality assessment, iteration, and reporting. Encodes deep OD knowledge so non-expert users can run the full workflow without…
Security log parsing, anomaly detection, SIEM query building, Sigma rule creation, and correlation rule development across Splunk, Elastic, QRadar, and Microsoft Sentinel.
Complete bearing fault diagnostic workflow using vibration analysis and the predictive-maintenance-mcp server. Use this skill when the user says "diagnose bearing", "bearing fault", "bearing check", "detect bearing damage", "bearing vibration analysis", "inner race fault", "outer race fault", "ball defect", "cage…
Prognostic assessment workflow: trend analysis, degradation onset detection, and Remaining Useful Life (RUL) estimation using the predictive-maintenance-mcp server. Use this skill when the user says "trend analysis", "degradation trend", "RUL", "remaining useful life", "prognosis", "prognostics", "failure prediction"…
Signal loading, generation, and cache management using the predictive-maintenance-mcp server. Use this skill when the user says "load signal", "import signal", "list signals", "available signals", "generate test signal", "create test data", "synthetic signal", "clear cache", "signal info", "what signals are loaded"…
End-to-end ML toolkit with 26 CLI commands. Use when training models, tuning hyperparameters, detecting data drift, generating HTML reports with charts, profiling datasets, detecting anomalies, forecasting time series, checking fairness, or serving models as REST APIs. Prefer over raw sklearn when you need automated…