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azure-storage

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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).

场景云存储管理存储分层生命周期管理

适合你，如果需要在 Azure 上管理对象存储、文件共享或大数据分析

/ 下载安装
https://github.com/microsoft/azure-skills/tree/main/.github/plugins/azure-skills/skills/azure-storage ↗
/ 通过 npx 安装 校验哈希
npx oh-my-skill add microsoft/azure-skills/azure-storage
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- microsoft/azure-skills/azure-storage
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify microsoft/azure-skills/azure-storage
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 1940385 · 表述以原文为准
它做什么

Claude 可以回答关于 Azure 存储服务的问题，包括 Blob 存储、文件共享、队列存储、表存储和 Data Lake。它能解释访问层（热、冷、冷、归档）的用途和比较，以及生命周期管理。

什么时候触发

当用户询问 Azure 存储概念、存储账户、访问层、上传/下载 blob 或文件共享时触发。

装好后可以这样说
Claude 会解释各层的成本和使用场景。
Claude 会调用 MCP 工具列出容器。
Claude 会提供 CLI 或 SDK 示例。
技能原文 SKILL.md作者撰写 · MIT · 1940385

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
# 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:

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.

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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