Azure anomaly detector
Skill MicrosoftDocs/Agent-Skills/skills/azure-anomaly-detector
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).From its SKILL.md
npx -y skills add MicrosoftDocs/Agent-Skills --skill azure-anomaly-detectorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- fetches URLsInstructs the agent to fetch 7 URLs, including https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/troubleshoot and 6 more.
SKILL.md
4.3 KB, 783 tokens by cl100k_base, as published. Nobody here has run it
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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools 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_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L33-L38 | Diagnosing and fixing Azure Anomaly Detector issues, including multivariate error codes, common failures, configuration problems, and step-by-step troubleshooting guidance. |
| Best Practices | L39-L44 | Guidance on preparing data, tuning parameters, interpreting results, and designing workflows for effective use of univariate and multivariate Azure Anomaly Detector APIs. |
| Limits & Quotas | L45-L49 | Service limits for Anomaly Detector: max data points, series length, request rates, model constraints, and how quotas affect API usage and scaling. |
| Configuration | L50-L54 | How to configure and tune Anomaly Detector Docker containers, including environment variables, resource limits, logging, networking, and runtime behavior settings. |
| Deployment | L55-L58 | 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 |
| Diagnose and resolve 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 |
Limits & Quotas
| Topic | URL |
|---|---|
| Review Azure 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 |
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most containers cloud skills give in 783 tokens
Counted across 607 of the 705 authors here whose files we hold, read 2026-09-06
- Run as non-root userin 34 of 607, across 27 files
- Use multi-stage buildsin 29 of 607
- Set resource requests and limitsin 24 of 607, across 20 files
- Configure liveness and readiness probesin 18 of 607, across 14 files
- Use named volumes for persistent datain 14 of 607, across 9 files
- Pin base image versionsin 14 of 607
- Set up environment variablesin 14 of 607, across 10 files
- Pin provider versionsin 14 of 607
- Apply least privilege RBAC permissionsin 10 of 607, across 7 files
- Create a dockerignore filein 10 of 607
- Use remote state with lockingin 9 of 607
- Pin base images by digestin 9 of 607, across 8 files
Said here and by no other author read
- Use the Category Index to locate relevant sections
- Use read_file for categories with line ranges
- Use read_file on linked reference files
- Suggest pulling latest version if metadata is old
- Install tools if they are not available
- fetch documentation using microsoft_docs_fetch
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.