Expert knowledge for Azure Advisor development including best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when creating Advisor alerts, workbooks, Resource Graph queries, migration risk views, or sovereign-cloud setups, and other Azure Advisor related development tasks. Not for Azure Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Security (use azure-security).
v1.0LATEST
NewUpdated Jun 26, 2026
Azure Advisor Skill
This skill provides expert guidance for Azure Advisor. Covers best practices, 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
Best Practices
L34-L46
Guidance on using Azure Advisor for Well-Architected assessments and bulk fixes to optimize cost, performance, reliability, and operational excellence across VMs and other services.
Decision Making
L47-L55
Using Advisor workbooks and critical risk views to assess reliability, plan migrations, and estimate cost impact of Azure Advisor recommendations across key resources
Limits & Quotas
L56-L60
Advisor feature availability, limits, and differences when running in Azure sovereign clouds (e.g., Azure Government, China), including which recommendations are supported.
Security
L61-L65
Managing Azure Advisor permissions, roles, and RBAC settings so users and apps have appropriate access to Advisor recommendations and data
Configuration
L66-L75
Setting up and customizing Azure Advisor: creating alerts (portal, ARM, Bicep), email digests, tag-based filtering, and using workbooks for monitoring and insights.
Integrations & Coding Patterns
L76-L81
Querying Azure Advisor data via Resource Graph, using sample Kusto queries, and integrating Advisor MCP tools with AI/LLM clients for automated insights
Grades are signals, not a certification. Always review a skill yourself before use.
Safety
75
Quality
58
Clarity
70
Completeness
48
Summary
This is a reference skill for Azure Advisor development that provides expert guidance on best practices, decision-making, limits & quotas, security, configuration, and integrations. It functions as a curated knowledge index with links to official Microsoft documentation and instructions for fetching remote content via MCP tools or web APIs.
Metadata staleness check (3-month threshold) included in agent instructions
'How to Use' section, IMPORTANT note
Referenced Domains
External domains referenced in skill content, detected by static analysis.
github.comlearn.microsoft.com
Use Cases
Create and configure Azure Advisor alerts using ARM templates or Bicep
Query Azure Advisor recommendation data with Resource Graph and Kusto queries
Set up tag-based filtering and email digest notifications for Advisor recommendations
Evaluate cost impact and reliability implications of Azure Advisor recommendations
Integrate Azure Advisor insights with AI/LLM clients using MCP tools
Plan VM migrations and optimize costs using Azure Advisor workbooks and critical risk views
Configure RBAC and permissions for Azure Advisor access across teams
Quality Notes
Strong: Clear category index with line numbers and section navigation guidance helps agents quickly locate relevant content
Strong: Explicit instructions for agents on tool selection (prefer mcp_microsoftdocs, fallback to fetch_webpage) with query string parameters
Strong: Well-organized reference tables for each category (Best Practices, Decision Making, etc.) with descriptive URLs
Weak: Missing file references — skill references separate documentation files (security.md, etc.) that are not present in the directory; agents cannot follow those references without additional context
Weak: No example queries or code snippets for Resource Graph or Kusto integration; guidance relies entirely on external documentation links
Weak: Category index lists line ranges (L34-L46) but the SKILL.md content does not include inline detailed guidance at those line numbers—the file structure suggests this content was intended to be present but is missing
Weak: No error handling guidance for network failures (e.g., if documentation fetch times out or returns incomplete content)
Note: License file included but does not add technical value to the skill itself
Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026
Reviews
Add this skill to your library to leave a review.
No reviews yet
Be the first to share your experience.
Use MicrosoftDocs/azure-advisor in your dev environment — a Developer account adds skills to your library and syncs them via the SkillRepo CLI.