azure-anomaly-detector

v2026.09.24

Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, limits & quotas, configuration, and deployment. Use when tuning Docker-based Anomaly Detector, ACI or IoT Edge deployments, univariate/multivariate APIs, or service 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).

GitHub
Install command
npx skhub add microsoftdocs/azure-anomaly-detector
Markdown
SKILL.md

Azure AI Anomaly Detector Skill

This skill provides expert guidance for Azure AI Anomaly Detector. Covers troubleshooting, best practices, 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

CategoryLinesDescription
TroubleshootingL33-L38Diagnosing and fixing Azure Anomaly Detector issues, including multivariate error codes, common failures, configuration problems, and step-by-step troubleshooting guidance.
Best PracticesL39-L44Guidance on preparing data, tuning parameters, interpreting results, and designing workflows for effective use of univariate and multivariate Azure Anomaly Detector APIs.
Limits & QuotasL45-L49Service limits for Anomaly Detector: max data points, series length, request rates, model constraints, and how quotas affect API usage and scaling.
ConfigurationL50-L54How to configure and tune Anomaly Detector Docker containers, including environment variables, resource limits, logging, networking, and runtime behavior settings.
DeploymentL55-L58How to package and run Anomaly Detector in containers: Docker setup, Azure Container Instances deployment, and IoT Edge module deployment and configuration.

Troubleshooting

TopicURL
Troubleshoot Multivariate Anomaly Detector error codeshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/troubleshoot
Diagnose and resolve Azure Anomaly Detector issueshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/faq

Best Practices

TopicURL
Apply univariate Anomaly Detector API best practiceshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/anomaly-detection-best-practices
Use multivariate Anomaly Detector API effectivelyhttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/best-practices-multivariate

Limits & Quotas

TopicURL
Review Azure Anomaly Detector service limits and quotashttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/service-limits

Configuration

TopicURL
Configure Anomaly Detector container runtime settingshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/anomaly-detector-container-configuration

Deployment

TopicURL
Deploy and run Anomaly Detector Docker containershttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/anomaly-detector-container-howto
Discovery
Tags

No tags published for this skill.

Version
Latest version metadata

Version

v2026.09.24

Published

Sep 24, 2026

Category

Uncategorized

License

CC-BY-4.0

Source path

skills/azure-anomaly-detector

Default branch

main

Latest commit

1e593dd

Tree SHA

a074c78