airunway-aks-setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first…
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
$ npx -y skills add microsoft/azure-skills --skill azure-storage --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/azure-storageContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: azure-storage description: "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)." license: MIT metadata: author: Microsoft version: "1.2.1"
| 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` |
When Azure MCP is enabled:
**If Azure MCP is not enabled:** Run `/azure:setup` or enable via `/mcp`.
# 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
| Tier | Use Case | Performance | |------|----------|-------------| | Standard | General purpose, backup | Milliseconds | | Premium | Databases, high IOPS | Sub-millisecond |
| 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 |
| 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 |
For deep documentation on specific services:
For building applications with Azure Storage SDKs, see the condensed guides:
For full package listing across all languages, see [SDK Usage Guide](references/sdk-usage.md).
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.
Azure work is not just a code problem. It is a decision problem: which service fits this app, what needs to be validated before deployment, which tools should run, and what guardrails matter.
Repo: microsoft/azure-skills
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first…
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to…
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.…
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI…
Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app completeness, dependencies and local…
End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your…