azure-anomaly-detectorlisted

# Azure Anomaly Detector Skill This skill provides expert guidance for Azure 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 This skill requires **network access** to fetch documentation content. Use `mcp_microsoftdocs:microsoft_docs_fetch` to retrieve full articles. - **Fallback**: Use the built-in `WebFetch` tool if the Microsoft Learn MCP server is not available. ## Category Index | Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L28-L32 | 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 | L34-L38 | 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 | L40-L43 | Designing predictive maintenance solutions using Multivariate Anomaly Detector, including data preparation, model setup, and architec