azure-storage

Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics capabilities. Includes access tiers (hot, cool, archive) and lifecycle management.

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byaiskillstore

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Best use case

azure-storage is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics capabilities. Includes access tiers (hot, cool, archive) and lifecycle management.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "azure-storage" skill to help with this workflow task. Context: Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics capabilities. Includes access tiers (hot, cool, archive) and lifecycle management.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

Do not use this when you only need a one-off answer and do not need a reusable workflow.
Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/azure-storage/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/microsoft/azure-storage/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/azure-storage/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How azure-storage Compares

Feature / Agent	azure-storage	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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](https://learn.microsoft.com/azure/storage/blobs/storage-blobs-overview)
- File shares and Azure File Sync -> [Azure Files documentation](https://learn.microsoft.com/azure/storage/files/storage-files-introduction)
- Queue patterns and poison handling -> [Queue Storage documentation](https://learn.microsoft.com/azure/storage/queues/storage-queues-introduction)

## SDK Quick References

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

- **Blob Storage**: [Python](references/sdk/azure-storage-blob-py.md) | [TypeScript](references/sdk/azure-storage-blob-ts.md) | [Java](references/sdk/azure-storage-blob-java.md) | [Rust](references/sdk/azure-storage-blob-rust.md)
- **Queue Storage**: [Python](references/sdk/azure-storage-queue-py.md) | [TypeScript](references/sdk/azure-storage-queue-ts.md)
- **File Shares**: [Python](references/sdk/azure-storage-file-share-py.md) | [TypeScript](references/sdk/azure-storage-file-share-ts.md)
- **Data Lake**: [Python](references/sdk/azure-storage-file-datalake-py.md)
- **Tables**: [Python](references/sdk/azure-data-tables-py.md) | [Java](references/sdk/azure-data-tables-java.md)

For full package listing across all languages, see [SDK Usage Guide](references/sdk-usage.md).

## 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](references/sdk-usage.md) for package names, installation commands, and quick start examples.

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