Agent skill

azure-anomaly-detector

Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, and deployment. Use when using univariate/multivariate APIs, Docker/IoT Edge containers, predictive maintenance flows, or regional limits, and other Azure AI Anomaly Detector related development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-anomaly-detector

Metadata

Additional technical details for this skill

generator
docs2skills/1.0.0
generated at
2026-02-28

SKILL.md

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: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

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

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