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Azure Advisor

Organization
MicrosoftDocs
azure-advisor

Expert knowledge for Azure Advisor development including best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Advisor alerts/digests, managing rec states, using workbooks, Resource Graph, or RBAC for access, and other Azure Advisor related development tasks. Not for Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Security (use azure-security).

Overview

PublisherMicrosoftDocs
RepositoryAgent-Skills
Skill nameazure-advisor
Stars
778
Forks
126
Bundled files
Instructions only
LicenseCC-BY-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MicrosoftDocs on GitHub. Read the source before you install it.

Installation

Install the Azure Advisor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-advisor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git /tmp/Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills/skills/azure-advisor .claude/skills/azure-advisor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Advisor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Advisor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Advisor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

CategoryLinesDescription
Best PracticesL34-L46Guidance on using Azure Advisor to assess architectures and apply cost, performance, reliability, and operational excellence recommendations, including bulk fixes and cost savings estimates.
Decision MakingL47-L55Using Advisor workbooks and critical risk views to assess reliability, plan migrations, and estimate cost impact of Azure Advisor recommendations across key resources
Limits & QuotasL56-L60Advisor feature availability, limits, and differences when running in Azure sovereign clouds (e.g., Azure Government, China), including which recommendations are supported.
SecurityL61-L65Managing Azure Advisor permissions, roles, and RBAC settings so users and apps have appropriate access to Advisor recommendations and data
ConfigurationL66-L76Configuring Azure Advisor alerts, digests, and recommendation states via portal, ARM/Bicep, tags, and workbooks to control how and when recommendations are delivered and viewed.
Integrations & Coding PatternsL77-L80Querying Azure Advisor data via Resource Graph, using sample Kusto queries, and integrating Advisor MCP tools with AI/LLM clients for automated insights

Best Practices

Decision Making

TopicURL
Use Azure Advisor Critical Risks for key resourceshttps://learn.microsoft.com/en-us/azure/advisor/advisor-critical-risks
Assess cost impact of Azure Advisor recommendationshttps://learn.microsoft.com/en-us/azure/advisor/advisor-how-to-evaluate-cost-implications-of-recommendations
Analyze and optimize Azure costs with the Advisor workbookhttps://learn.microsoft.com/en-us/azure/advisor/advisor-workbook-cost-optimization
Evaluate application reliability using the Advisor workbookhttps://learn.microsoft.com/en-us/azure/advisor/advisor-workbook-reliability
Use Advisor Service Retirement workbook for migration planninghttps://learn.microsoft.com/en-us/azure/advisor/advisor-workbook-service-retirement

Limits & Quotas

TopicURL
Understand Azure Advisor feature limits in sovereign cloudshttps://learn.microsoft.com/en-us/azure/advisor/advisor-sovereign-clouds

Security

TopicURL
Configure Azure Advisor roles and access controlhttps://learn.microsoft.com/en-us/azure/advisor/permissions

Configuration

TopicURL
Create Azure Advisor alerts with ARM templateshttps://learn.microsoft.com/en-us/azure/advisor/advisor-alerts-arm
Define Azure Advisor alert rules using Bicephttps://learn.microsoft.com/en-us/azure/advisor/advisor-alerts-bicep
Configure Azure Advisor alerts in the Azure portalhttps://learn.microsoft.com/en-us/azure/advisor/advisor-alerts-portal
Configure Azure Advisor recommendation state managementhttps://learn.microsoft.com/en-us/azure/advisor/advisor-azure-state-management
Configure periodic Azure Advisor recommendation digestshttps://learn.microsoft.com/en-us/azure/advisor/advisor-recommendations-digest
Filter Azure Advisor recommendations by resource tagshttps://learn.microsoft.com/en-us/azure/advisor/advisor-tag-filtering
Use Azure Advisor workbook templates for insightshttps://learn.microsoft.com/en-us/azure/advisor/advisor-workbooks

Integrations & Coding Patterns

TopicURL
Integrate Azure Advisor MCP tools with AI clientshttps://learn.microsoft.com/en-us/azure/advisor/advisor-mcp-tools

Frequently asked questions

What does the Azure Advisor AI skill do?

Expert knowledge for Azure Advisor development including best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Advisor alerts/digests, managing rec states, using workbooks, Resource Graph, or RBAC for access, and other Azure Advisor related development tasks. Not for Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Security (use azure-security).

Why use Azure Advisor on TypingMind?

Because you install it once and use it with any model. Azure Advisor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Advisor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-advisor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Azure Advisor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Advisor?

As many as you like. As long as a model supports skills, you can use Azure Advisor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Advisor AI skill free?

Yes. It is published on GitHub by MicrosoftDocs under the CC-BY-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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