Azure AI Metrics Advisor Skill

This skill provides expert guidance for Azure AI Metrics Advisor. Covers decision making, limits & quotas, 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	L33-L37	Guidance on estimating, controlling, and optimizing Metrics Advisor costs and usage, including pricing factors, quotas, and cost-management best practices.
Limits & Quotas	L38-L42	Service limits for Metrics Advisor: max metrics, dimensions, alerts, data ingestion rates, detection constraints, and guidance on scaling within quotas.
Security	L43-L48	Configuring Metrics Advisor security: data encryption, auth options (keys, AAD), and creating/managing secure credential entities for data sources and monitoring.
Configuration	L49-L53	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	L54-L58	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

Limits & Quotas

Topic	URL
Understand Metrics Advisor limits and constraints	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/faq

Security

Topic	URL
Configure encryption and authentication for Metrics Advisor	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

Files1

1 files · 18.2 KB

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Overall Score

82/100

Grade

B

Good

Safety

88

Quality

82

Clarity

85

Completeness

75

Summary

This is a reference guide skill for Azure AI Metrics Advisor that directs agents to documentation on cost management, service limits, security configuration, alerting setup, and data integration. It functions as a knowledge index with links to Microsoft Learn docs and instructions for fetching remote content via MCP tools or web APIs.

Detected Capabilities

remote documentation fetchnetwork accessread documentationapi reference lookupconfiguration guidance

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

metrics advisor setupanomaly detection tuningconfigure alert hooksmetrics advisor cost planningdata feed integrationmetrics advisor security

Referenced Domains

External domains referenced in skill content, detected by static analysis.

github.comlearn.microsoft.com

Use Cases

Configure anomaly detection settings and data feeds in Metrics Advisor
Set up alert hooks and alerting rules for metrics monitoring
Understand service limits, quotas, and scaling constraints
Plan and optimize Metrics Advisor costs and usage
Integrate diverse data sources and call Metrics Advisor REST APIs/SDKs
Secure Metrics Advisor instances with encryption and credential management

Quality Notes

Skill is well-structured with a clear category index and line-range references for logical sections
Explicitly documents required network access and tool dependencies (mcp_microsoftdocs or fetch_webpage)
Includes fallback mechanism if preferred MCP tool is unavailable
Provides helpful metadata check reminder to suggest latest version if >3 months old
Scope is clearly bounded to Metrics Advisor; explicitly excludes Anomaly Detector, Monitor, and Stream Analytics
Categories are logically organized with descriptive headings and corresponding URLs to official Microsoft documentation
Instructions for agents are clear and actionable (use Category Index, read_file with line ranges, check tool availability)
Limitations are well-defined: requires network access and specific MCP tools
Remote documentation links are current and authoritative (learn.microsoft.com domains)

Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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