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. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, lifecycle management. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).
- License 许可
- MIT
- 最近更新
- 2026-04-21
- Stars
- ★ 0
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01 前言 Front Matter
- name
- azure-storage
- license
- MIT
- metadata
- { "author": "Microsoft", "version": "1.0.0" }
- description
- 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. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, lifecycle management. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).
02 资源文件 13
- 参考文档references/auth-best-practices.md6.1 KB
- 参考文档references/sdk-usage.md4.4 KB
- 参考文档references/sdk/azure-data-tables-java.md1.3 KB
- 参考文档references/sdk/azure-data-tables-py.md1.0 KB
- 参考文档references/sdk/azure-storage-blob-java.md1.3 KB
- 参考文档references/sdk/azure-storage-blob-py.md1.0 KB
- 参考文档references/sdk/azure-storage-blob-rust.md1.1 KB
- 参考文档references/sdk/azure-storage-blob-ts.md1.2 KB
- 参考文档references/sdk/azure-storage-file-datalake-py.md1.3 KB
- 参考文档references/sdk/azure-storage-file-share-py.md1006 B
- 参考文档references/sdk/azure-storage-file-share-ts.md1.2 KB
- 参考文档references/sdk/azure-storage-queue-py.md1.1 KB
- 参考文档references/sdk/azure-storage-queue-ts.md1.2 KB
03 SKILL.md 正文
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__storagewith commandstorage_account_list- List storage accountsazure__storagewith commandstorage_container_list- List containers in accountazure__storagewith commandstorage_blob_list- List blobs in containerazure__storagewith commandstorage_blob_get- Download blob contentazure__storagewith commandstorage_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:
- 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.
04 同仓库更多 Skills
preset
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
customize
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
deploy-model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
microsoft-foundry
Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, prompt optimization, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, optimize prompt, improve prompt, prompt optimization, prompt optimizer, improve agent instructions, optimize agent instructions, optimize system prompt, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, create dataset from traces, dataset versioning, eval trending, create AI Services, Cognitive Services, create Foundry resource, provision resource, knowledge index, agent monitoring, customize deployment, onboard, availability. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
entra-app-registration
Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authentication. DO NOT USE FOR: Azure RBAC or role assignments (use azure-rbac), Key Vault secrets (use azure-keyvault-expiration-audit), general Azure resource security guidance.