skills/azure-table-storage/SKILL.md
Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when designing partition/row keys, tuning throughput, configuring metrics/logs, or scripting tables via PowerShell, and other Azure Table Storage related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Blob Storage (use azure-blob-storage), Azure Queue Storage (use azure-queue-storage), Azure Files (use azure-files).
npx skillsauth add microsoftdocs/agent-skills azure-table-storageInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill provides expert guidance for Azure Table Storage. Covers best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description | |----------|-------|-------------| | Best Practices | L34-L38 | Guidance on designing scalable table schemas, partition/row key strategies, throughput optimization, and performance tuning patterns for Azure Table storage. | | Architecture & Design Patterns | L39-L48 | Designing Azure Table Storage schemas: partition/row key strategies, query-optimized models, handling relationships, efficient updates, and common design patterns/anti-patterns. | | Limits & Quotas | L49-L53 | Scalability limits, throughput targets, and performance constraints for Azure Table Storage, including partition key design, request rates, and capacity planning. | | Security | L54-L59 | Managing access to Azure Table data using Microsoft Entra ID and Azure RBAC, including assigning roles and configuring identity-based authorization. | | Configuration | L60-L65 | Configuring Azure Table Storage monitoring: enabling metrics and logs, understanding available telemetry, and setting up alerts for performance, availability, and diagnostics. | | Integrations & Coding Patterns | L66-L69 | Using Azure PowerShell to manage Table storage: create/delete tables, insert/query/update/delete entities, and script common data operations. |
| Topic | URL | |-------|-----| | Apply performance and scalability best practices for Azure Table storage | https://learn.microsoft.com/en-us/azure/storage/tables/storage-performance-checklist |
| Topic | URL | |-------|-----| | Design scalable, cost-efficient schemas in Azure Table storage | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design | | Design Azure Table storage for efficient data modification | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-for-modification | | Design Azure Table storage schemas optimized for queries | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-for-query | | Apply Azure Table storage design guidelines for efficient access | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-guidelines | | Model relationships in Azure Table storage designs | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-modeling | | Use Azure Table storage design and anti-patterns effectively | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-patterns |
| Topic | URL | |-------|-----| | Azure Table storage scalability and performance limits | https://learn.microsoft.com/en-us/azure/storage/tables/scalability-targets |
| Topic | URL | |-------|-----| | Assign Azure RBAC roles for Azure Table data access | https://learn.microsoft.com/en-us/azure/storage/tables/assign-azure-role-data-access | | Authorize Azure Table storage with Microsoft Entra ID and RBAC | https://learn.microsoft.com/en-us/azure/storage/tables/authorize-access-azure-active-directory |
| Topic | URL | |-------|-----| | Configure monitoring and alerts for Azure Table storage | https://learn.microsoft.com/en-us/azure/storage/tables/monitor-table-storage | | Reference monitoring metrics and logs for Azure Table storage | https://learn.microsoft.com/en-us/azure/storage/tables/monitor-table-storage-reference |
| Topic | URL | |-------|-----| | Use PowerShell cmdlets for Azure Table storage operations | https://learn.microsoft.com/en-us/azure/storage/tables/table-storage-how-to-use-powershell |
tools
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, model router patterns, MCP tools, private networking, or eval workflows, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
tools
Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, decision making, configuration, and integrations & coding patterns. Use when calling Foundry Local REST/chat APIs, tools, transcription, LangChain apps, Olive HF compilation, or CLI, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Tools (use microsoft-foundry-tools), Azure Local (use azure-local).
tools
Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents, configuring model routing, securing VNets/Private Link, integrating tools/SDKs, or deploying hubs, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
development
Expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. Use when designing AI, HPC, SaaS, AVD, or mission-critical workloads with WAF-aligned Azure patterns and guidance, and other Azure Well Architected related development tasks.