Azure Storage

OrganizationPopular

microsoft

azure-storage

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, storage tiers, hot cool cold archive, storage tier comparison, when to use storage tiers, lifecycle management, Azure Storage concepts. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).

Overview

Publisher	microsoft
Repository	`azure-skills`
Skill name	`azure-storage`
Stars	1.5K
Forks	246
Bundled files	13
License	MIT
Links	Skill source Repository

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.
13 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by microsoft on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/microsoft/azure-skills.git /tmp/azure-skills
mkdir -p .claude/skills
cp -r /tmp/azure-skills/skills/azure-storage .claude/skills/azure-storage

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Storage 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 Storage 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 Storage 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 Storage Services

Services

Service	Use When	MCP Tools	CLI
Blob Storage	Objects, files, backups, static content	`azure__storage`	`az storage blob`
File Shares	SMB file shares, lift-and-shift	-	`az storage file`
Queue Storage	Async messaging, task queues	-	`az storage queue`
Table Storage	NoSQL key-value (consider Cosmos DB)	-	`az storage table`
Data Lake	Big data analytics, hierarchical namespace	-	`az storage fs`

MCP Server (Preferred)

When Azure MCP is enabled:

azure__storage with command storage_account_list - List storage accounts
azure__storage with command storage_container_list - List containers in account
azure__storage with command storage_blob_list - List blobs in container
azure__storage with command storage_blob_get - Download blob content
azure__storage with command storage_blob_put - Upload blob content

If Azure MCP is not enabled: Run /azure:setup or enable via /mcp.

CLI Fallback

bash
# List storage accounts
az storage account list --output table

# List containers
az storage container list --account-name ACCOUNT --output table

# List blobs
az storage blob list --account-name ACCOUNT --container-name CONTAINER --output table

# Download blob
az storage blob download --account-name ACCOUNT --container-name CONTAINER --name BLOB --file LOCAL_PATH

# Upload blob
az storage blob upload --account-name ACCOUNT --container-name CONTAINER --name BLOB --file LOCAL_PATH

Storage Account Tiers

Tier	Use Case	Performance
Standard	General purpose, backup	Milliseconds
Premium	Databases, high IOPS	Sub-millisecond

Blob Access Tiers

Tier	Access Frequency	Cost
Hot	Frequent	Higher storage, lower access
Cool	Infrequent (30+ days)	Lower storage, higher access
Cold	Rare (90+ days)	Lower still
Archive	Rarely (180+ days)	Lowest storage, rehydration required

Redundancy Options

Type	Durability	Use Case
LRS	11 nines	Dev/test, recreatable data
ZRS	12 nines	Regional high availability
GRS	16 nines	Disaster recovery
GZRS	16 nines	Best durability

Service Details

For deep documentation on specific services:

Blob storage patterns and lifecycle -> Blob Storage documentation
File shares and Azure File Sync -> Azure Files documentation
Queue patterns and poison handling -> Queue Storage documentation

SDK Quick References

For building applications with Azure Storage SDKs, see the condensed guides:

Blob Storage: Python | TypeScript | Java | Rust
Queue Storage: Python | TypeScript
File Shares: Python | TypeScript
Data Lake: Python
Tables: Python | Java

For full package listing across all languages, see SDK Usage Guide.

Azure SDKs

For building applications that interact with Azure Storage programmatically, Azure provides SDK packages in multiple languages (.NET, Java, JavaScript, Python, Go, Rust). See SDK Usage Guide for package names, installation commands, and quick start examples.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Azure Storage AI skill do?

Why use Azure Storage on TypingMind?

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

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

Which AI models can use Azure Storage?

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 Storage?

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

Is the Azure Storage AI skill free?

Yes. It is published on GitHub by microsoft under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Azure Storage Services

Services

MCP Server (Preferred)

CLI Fallback

Storage Account Tiers

Blob Access Tiers

Redundancy Options

Service Details

SDK Quick References

Azure SDKs

Bundled files

Frequently asked questions

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