Performs fast vibration health screening for industrial machinery using predictive-maintenance-mcp server. Generates reports with RMS, crest factor, FFT peaks, ISO 20816 zones, and recommendations.
How this skill is triggered — by the user, by Claude, or both
Slash command
/predictive-maintenance:quick-screeningThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Fast health status assessment for rotating machinery. Produces a screening
Fast health status assessment for rotating machinery. Produces a screening report in under 30 seconds with clear next-step recommendations.
Prerequisite: The predictive-maintenance-mcp MCP server must be connected.
Call list_stored_signals() or list_signals() to show available signals. If
the user has not specified one, ask which signal to analyze. Load with
load_signal(...) if needed.
Call extract_features_from_signal(signal_id=...).
Report as bullet points:
Call analyze_fft(signal_id=...).
Report:
Call evaluate_iso_20816(signal_id=..., machine_group=2, support_type="rigid").
Report:
Format the output as a concise screening card:
VIBRATION HEALTH SCREENING
===========================
Signal: {filename}
Overall: {Healthy / Monitor / Suspicious / Critical}
Key Indicators:
RMS: {value} | CF: {value} | Kurt: {value}
ISO Zone: {zone} ({severity})
Recommendation:
{appropriate next step}
Decision logic:
| ISO Zone | Kurtosis | Verdict | Recommendation |
|---|---|---|---|
| A | < 1 | Healthy | No immediate concerns. Schedule routine monitoring. |
| B | 1–3 | Monitor | Elevated indicators. Schedule follow-up in 2–4 weeks. |
| C | 3–6 | Suspicious | Consider detailed bearing analysis (bearing-diagnosis skill). |
| D | > 6 | Critical | Immediate detailed analysis recommended. |
npx claudepluginhub lgdimaggio/predictive-maintenance-mcp --plugin predictive-maintenanceOrchestrates vibration analysis workflow for bearing fault diagnosis using predictive-maintenance-mcp server: statistical screening, FFT, characteristic frequencies, envelope analysis.
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