Azure Elastic San logo

Azure Elastic San

Organization
MicrosoftDocs
azure-elastic-san

Expert knowledge for Azure Elastic SAN development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when creating Elastic SAN volumes, AVS datastores, iSCSI clients, snapshots, or clustered SQL/FC workloads, and other Azure Elastic SAN related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Files (use azure-files), Azure NetApp Files (use azure-netapp-files), Azure Virtual Machines (use azure-virtual-machines).

Overview

PublisherMicrosoftDocs
RepositoryAgent-Skills
Skill nameazure-elastic-san
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 Elastic San 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-elastic-san
  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-elastic-san .claude/skills/azure-elastic-san
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Elastic San 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 Elastic San 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 Elastic San 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 Elastic SAN Skill

This skill provides expert guidance for Azure Elastic SAN. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. 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
TroubleshootingL37-L41Diagnosing and fixing Elastic SAN issues: connectivity, performance, provisioning/attachment failures, health checks, and step-by-step resolution guidance.
Best PracticesL42-L48Tuning Elastic SAN performance and configuration (including AVS datastores) and using, configuring, and managing Elastic SAN snapshot features
Decision MakingL49-L53Guidance on sizing and configuring Elastic SAN (performance, capacity, architecture) and deciding how to integrate it with AKS workloads and storage patterns.
Architecture & Design PatternsL54-L58Patterns for running clustered apps (SQL, Failover Cluster, etc.) on Azure Elastic SAN, including shared volume setup, fencing, failover behavior, and high-availability design.
Limits & QuotasL59-L64Details on Elastic SAN capacity limits, max IOPS/throughput, and how VM sizes, volume groups, and workloads affect achievable performance and scaling.
SecurityL65-L74Configuring encryption (platform and customer-managed keys) and secure access to Elastic SAN using private endpoints, service endpoints, and other network security options.
ConfigurationL75-L83Deploying, resizing, deleting, and monitoring Azure Elastic SAN instances/volumes, plus configuring iSCSI IQN naming and safe operational best practices.
Integrations & Coding PatternsL84-L91Creating and benchmarking Elastic SAN volumes, plus step-by-step guidance to connect Linux and Windows clients using iSCSI and optimize performance.
DeploymentL92-L95Guides for migrating Azure VMware Solution (AVS) datastores to Azure Elastic SAN, including configuring and using multiple private endpoints for secure connectivity.

Troubleshooting

Best Practices

Decision Making

TopicURL
Plan Azure Elastic SAN capacity and configurationhttps://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-planning

Architecture & Design Patterns

TopicURL
Use clustered applications with shared Azure Elastic SAN volumeshttps://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-shared-volumes

Limits & Quotas

TopicURL
Understand Azure Elastic SAN and VM performance limitshttps://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-performance
Azure Elastic SAN capacity, IOPS, and throughput limitshttps://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-scale-targets

Security

Configuration

Integrations & Coding Patterns

Deployment

Frequently asked questions

What does the Azure Elastic San AI skill do?

Expert knowledge for Azure Elastic SAN development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when creating Elastic SAN volumes, AVS datastores, iSCSI clients, snapshots, or clustered SQL/FC workloads, and other Azure Elastic SAN related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Files (use azure-files), Azure NetApp Files (use azure-netapp-files), Azure Virtual Machines (use azure-virtual-machines).

Why use Azure Elastic San on TypingMind?

Because you install it once and use it with any model. Azure Elastic San 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 Elastic San in TypingMind?

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

Which AI models can use Azure Elastic San?

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 Elastic San?

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

Is the Azure Elastic San 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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