azure-queue-storage

Solid

Expert knowledge for Azure Queue Storage development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing queue auth (Entra ID/RBAC), monitoring metrics/logs, tuning throughput/limits, or coding with SDKs, and other Azure Queue Storage related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Table Storage (use azure-table-storage), Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs).

AI & Automation 562 stars 58 forks Updated today CC-BY-4.0

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Quality Score: 91/100

Stars 20%
92
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Azure Queue Storage Skill This skill provides expert guidance for Azure Queue Storage. Covers best practices, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities. ## How to Use This Skill > **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file > **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md) This skill requires **network access** to fetch documentation content: - **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown. - **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown. ## Category Index | Category | Lines | Description | |----------|-------|-------------| | Best Practices | L33-L39 | Monitoring, securing, and tuning Azure Queue Storage: metrics/logging, alerts, encryption, access control, and performance/scalability patterns and checklists. ...

Details

Author
MicrosoftDocs
Repository
MicrosoftDocs/Agent-Skills
Created
4 months ago
Last Updated
today
Language
N/A
License
CC-BY-4.0

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