azure-metrics-advisor

Original：🇺🇸 English

Translated

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, or integrating the 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 Machine Learning (use azure-machine-learning).

2installs

Sourcemicrosoftdocs/agent-skills

Added on2026-03-26

NPX Install

npx skill4agent add microsoftdocs/agent-skills azure-metrics-advisor

SKILL.md Content

View Translation Comparison →

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, optimizing, and controlling Azure Metrics Advisor costs, including pricing concepts, cost drivers, and budgeting/management best practices.
Security	L37-L42	Configuring Metrics Advisor security: encrypting data at rest with customer-managed keys and creating/using secure credential entities for data source access.
Configuration	L43-L48	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	L49-L54	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	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/cost-management

Security

Topic	URL
Configure data-at-rest encryption for Metrics Advisor	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/encryption
Create secure credential entities for Metrics Advisor	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/credential-entity

Configuration

Topic	URL
Configure Metrics Advisor alert hooks and rules	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/alerts
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
Write valid data ingestion queries for Metrics Advisor	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/tutorials/write-a-valid-query