azure-metrics-advisor

name	azure-metrics-advisor
description	Expert knowledge for Azure AI Metrics Advisor development including decision making, security, configuration, and integrations & coding patterns. Use when configuring data feeds, tuning anomaly detection, managing alert hooks, securing creds, or calling Metrics Advisor APIs, and other Azure AI Metrics Advisor related development tasks. Not for Azure AI Anomaly Detector (use azure-anomaly-detector), Azure Monitor (use azure-monitor), Azure Stream Analytics (use azure-stream-analytics).
compatibility	Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata	{"generated_at":"2026-04-12","generator":"docs2skills/1.0.0"}

Azure AI Metrics Advisor Skill

This skill provides expert guidance for Azure AI Metrics Advisor. Covers decision making, security, configuration, and integrations & coding patterns. 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
Decision Making	L32-L36	Guidance on estimating, controlling, and optimizing Metrics Advisor costs and usage, including pricing factors, quotas, and cost-management best practices.
Security	L37-L42	Encrypting Metrics Advisor data, configuring auth, and securely creating, storing, and managing data source credentials and keys for anomaly detection.
Configuration	L43-L47	Setting up Metrics Advisor: configuring alert hooks (email/webhook), alerting rules, data feed and detection settings, and tuning anomaly detection behavior for your instance.
Integrations & Coding Patterns	L48-L52	Connecting Metrics Advisor to various data sources, crafting valid ingestion queries, and using its REST API/SDKs to integrate anomaly detection into applications

Decision Making

Topic	URL
Plan and manage Azure Metrics Advisor costs and usage	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/cost-management

Security

Topic	URL
Configure Metrics Advisor data encryption and authentication	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/encryption
Create and manage Metrics Advisor credential entities securely	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/credential-entity

Configuration

Topic	URL
Configure Metrics Advisor instance and detection settings	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/configure-metrics

Integrations & Coding Patterns

Topic	URL
Connect diverse data sources to Metrics Advisor	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/data-feeds-from-different-sources
Use Metrics Advisor REST API and client SDKs	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/quickstarts/rest-api-and-client-library