control-systems
claudeControl System Toolbox, Predictive Maintenance Toolbox, Signal Processing Toolbox, Statistics and Machine Learning Toolbox, and System Identification Toolbox.
3 skills
Complete predictive maintenance toolkit for vibration analysis, bearing/gear fault diagnosis, anomaly detection, and ISO standards compliance.
Plugin predictive-maintenance from marketplace predictive-maintenance-marketplace in LGDiMaggio/predictive-maintenance-mcp. Commands read from the repo's manifest — today.
anomaly-detectionML-based anomaly detection and model training for vibration signals using the predictive-maintenance-mcp server. Use this skill when the user says "anomaly detection", "train model", "detect anomalies", "outlier detection", "normal vs abnormal", "machine learning", "one-class SVM", "LOF", "local out
bearing-diagnosisComplete 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
documentation-searchSearch machine manuals, bearing catalogs, and technical documentation using RAG-based retrieval via the predictive-maintenance-mcp server. Use this skill when the user says "search documentation", "find in manual", "bearing catalog", "look up bearing", "machine manual", "extract specs", "find bearin
gear-diagnosisGear fault diagnosis workflow using vibration analysis via the predictive-maintenance-mcp server. Use this skill when the user says "gear fault", "gear diagnosis", "gear mesh", "gearbox analysis", "gear vibration", "tooth damage", "gear defect", "diagnose gear", "gear mesh frequency", "sideband anal
prognosticsPrognostic 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", "f
quick-screeningFast vibration health screening for industrial machinery using the predictive-maintenance-mcp server. Use this skill when the user says "quick check", "health screening", "vibration check", "is this machine healthy", "overall health", "quick diagnostic", "machine status", "condition monitoring", "he
report-generationGenerate professional diagnostic reports (HTML, DOCX) for vibration analysis using the predictive-maintenance-mcp server. Use this skill when the user says "generate report", "create report", "export report", "diagnostic report", "save analysis", "create PDF", "archive results", "full documentation"
shaft-order-evidenceExperimental shaft-order evidence assessment for unbalance, misalignment and looseness using the predictive-maintenance-mcp server. Use this skill when the user asks whether a machine shows unbalance (imbalance), misalignment or mechanical looseness, asks what a 1x or 2x line, a harmonic series of t
signal-managementSignal 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 sig
/predictive-maintenance:pm-diagnoseStart a bearing fault diagnosis workflow on a vibration signal
/predictive-maintenance:pm-reportGenerate a diagnostic report for a vibration signal
/predictive-maintenance:pm-screenRun a quick vibration health screening on a signal
Diagnostic PipelineAutonomous end-to-end machinery diagnostic agent following ISO 13374
Signal ExplorerSignal characterization, comparison, and outlier detection agent
Control System Toolbox, Predictive Maintenance Toolbox, Signal Processing Toolbox, Statistics and Machine Learning Toolbox, and System Identification Toolbox.
3 skills
Digital-twin engineering team — agents (digital-twin-architect, twin-integration-engineer) for the layer answering 'what should this twin MODEL, at what FIDELITY, and does it MATCH the real asset?': twin taxonomy (asset vs process vs system-of-systems; descriptive/predictive/prescriptive; digital-shadow vs true bidirectional), only-as-much-fidelity-as-the-decision-needs, modeling approach (physics vs data-driven/surrogate/reduced-order vs hybrid), telemetry ingestion (MQTT/OPC-UA/Kafka, edge vs cloud), state sync/drift/calibration, simulation & what-if, and fidelity validation. Fluent in DTDL + Azure Digital Twins, ISO 23247, AAS, Eclipse Ditto, NVIDIA Omniverse, Unity/Unreal, Bentley/Siemens. skills, a knowledge bank (decision tree + 2026 patterns), and templates. Distinct from embedded-iot-engineering (device firmware), robotics-autonomous-systems-engineering (robot control/autonomy), and data-platform (BI/warehouse). Requires ravenclaude-core@>=0.7.0.
3 skills · 2 agents
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