Setup & Installation
npx skills add https://github.com/microsoft/skills --skill azure-ai-anomalydetector-java
https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-anomalydetector-java
View on GitHubWhat This Skill Does
Azure AI Anomaly Detector SDK for Java lets you detect anomalies in time-series data using univariate or multivariate analysis. It supports batch detection, real-time streaming detection, and change point detection across single or correlated signals.
Instead of writing statistical thresholds by hand, you get a trained Graph Attention Network that captures inter-variable correlations across hundreds of signals automatically.
When to use it
- Scanning server CPU metrics over 30 days to find performance spikes
- Monitoring a single IoT sensor stream for out-of-range readings in real time
- Training a model on 300 correlated manufacturing signals to catch equipment failures
- Detecting trend shifts in daily sales data with change point analysis
- Running batch inference on monthly Azure Blob Storage exports to flag billing anomalies