Detect Anomalies for AIOps

- `monitor-model-drift` - Detect when anomaly detection models degrade

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LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: March 29, 2026

Prompt Quality

3.0 /5

Evaluation error: RetryError[]

Usefulness

3.0 /5

Evaluation error: RetryError[]

Overall Rating

3.0 /5

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Prompt Preview

---
name: detect-anomalies-aiops
description: >
  Implement AI-powered anomaly detection for operational metrics using time series analysis
  (Isolation Forest, Prophet, LSTM), alert correlation, and root cause analysis. Reduce
  alert fatigue by intelligently identifying true anomalies in system metrics, logs, and traces.
  Use when operations teams are overwhelmed by alert volume, when detecting complex multi-metric
  anomalies beyond static thresholds, when seasonal patterns make thresholds i...

Full prompt length: 9059 characters

Tools & Technologies

• go
• python
• Python