Azure AI Anomaly Detector Skill

This skill provides expert guidance for Azure AI Anomaly Detector. Covers troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: This file may be large. Use the Category Index below to locate relevant sections, then use read_file with specific line ranges (e.g., L136-L144) to read the sections needed for the user's question

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

• Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
• Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category	Lines	Description
Troubleshooting	L34-L39	Diagnosing and fixing Anomaly Detector issues, including multivariate API error codes, model training/detection failures, data format problems, and common service or configuration errors.
Best Practices	L40-L45	Guidance on preparing data, tuning parameters, interpreting results, and designing workflows for effective use of univariate and multivariate Azure Anomaly Detector APIs.
Architecture & Design Patterns	L46-L50	Designing predictive maintenance solutions using Multivariate Anomaly Detector, including data preparation, model setup, and architecture patterns for monitoring complex equipment.
Limits & Quotas	L51-L56	Details on Anomaly Detector regional endpoints, usage constraints, request/throughput limits, quotas, and how these caps affect model training and inference.
Configuration	L57-L61	How to configure and tune Anomaly Detector Docker containers, including environment variables, resource limits, logging, networking, and runtime behavior settings.
Deployment	L62-L67	How to package and run Anomaly Detector in containers: Docker setup, Azure Container Instances deployment, and IoT Edge module deployment and configuration.

Troubleshooting

Topic	URL
Troubleshoot Multivariate Anomaly Detector error codes	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/troubleshoot
Resolve common Azure Anomaly Detector issues	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/faq

Best Practices

Topic	URL
Apply univariate Anomaly Detector API best practices	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/anomaly-detection-best-practices
Use multivariate Anomaly Detector API effectively	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/best-practices-multivariate

Architecture & Design Patterns

Topic	URL
Design predictive maintenance with Multivariate Anomaly Detector	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/multivariate-architecture

Limits & Quotas

Topic	URL
Use Anomaly Detector regional endpoints and constraints	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/regions
Review Anomaly Detector service limits and quotas	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/service-limits

Configuration

Topic	URL
Configure Anomaly Detector container runtime settings	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/anomaly-detector-container-configuration

Deployment

Topic	URL
Deploy and run Anomaly Detector Docker containers	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/anomaly-detector-container-howto
Run Anomaly Detector in Azure Container Instances	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/how-to/deploy-anomaly-detection-on-container-instances
Deploy Anomaly Detector module to Azure IoT Edge	https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/how-to/deploy-anomaly-detection-on-iot-edge