> azure-table-storage

Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Entra ID/RBAC access, monitoring metrics/logs, tuning partitions/keys, 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-

fetch
$curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-table-storage?format=md"
SKILL.mdazure-table-storage

Azure Table Storage Skill

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.

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

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

CategoryLinesDescription
Best PracticesL34-L38Guidance on designing scalable table schemas, partition/row key strategies, throughput optimization, and performance tuning patterns for Azure Table storage.
Architecture & Design PatternsL39-L48Designing Azure Table Storage schemas: partition/row key strategies, query-optimized models, handling relationships, efficient updates, and common design patterns/anti-patterns.
Limits & QuotasL49-L53Scalability limits, throughput targets, partition/key design, and performance best practices for Azure Table storage workloads.
SecurityL54-L59Managing access to Azure Table data using Microsoft Entra ID and Azure RBAC, including assigning roles and configuring identity-based authorization.
ConfigurationL60-L65Configuring Azure Table Storage monitoring: enabling metrics and logs, understanding available telemetry, and setting up alerts for performance, availability, and diagnostics.
Integrations & Coding PatternsL66-L69Using Azure PowerShell to manage Table storage: create/delete tables, insert/query/update/delete entities, and script common data operations.

Best Practices

TopicURL
Apply performance and scalability best practices for Azure Table storagehttps://learn.microsoft.com/en-us/azure/storage/tables/storage-performance-checklist

Architecture & Design Patterns

TopicURL
Design scalable, cost-efficient schemas in Azure Table storagehttps://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design
Design Azure Table storage for efficient data modificationhttps://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-for-modification
Design Azure Table storage schemas optimized for querieshttps://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-for-query
Apply Azure Table storage design guidelines for efficient accesshttps://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-guidelines
Model relationships in Azure Table storage designshttps://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-modeling
Use Azure Table storage design and anti-patterns effectivelyhttps://learn.microsoft.com/en-us/azure/storage/tables/table-storage-design-patterns

Limits & Quotas

TopicURL
Understand scalability and performance targets for Azure Table storagehttps://learn.microsoft.com/en-us/azure/storage/tables/scalability-targets

Security

TopicURL
Assign Azure RBAC roles for Azure Table data accesshttps://learn.microsoft.com/en-us/azure/storage/tables/assign-azure-role-data-access
Authorize Azure Table storage with Microsoft Entra ID and RBAChttps://learn.microsoft.com/en-us/azure/storage/tables/authorize-access-azure-active-directory

Configuration

TopicURL
Configure monitoring and alerts for Azure Table storagehttps://learn.microsoft.com/en-us/azure/storage/tables/monitor-table-storage
Reference monitoring metrics and logs for Azure Table storagehttps://learn.microsoft.com/en-us/azure/storage/tables/monitor-table-storage-reference

Integrations & Coding Patterns

TopicURL
Use PowerShell cmdlets for Azure Table storage operationshttps://learn.microsoft.com/en-us/azure/storage/tables/table-storage-how-to-use-powershell

> related_skills --same-repo

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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, vector search/RAG, Sora video, realtime audio, or MCP/LangChain APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic),

> microsoft-foundry-tools

Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Understanding analyzers, Content Moderator APIs, Foundry containers, VNet/Key Vault security, or Entra auth, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use micr

> microsoft-foundry-local

Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, best practices, decision making, configuration, and integrations & coding patterns. Use when using Foundry Local CLI, chat/transcription APIs, tools, OpenAI/LangChain clients, or upgrading legacy SDKs, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foun

> microsoft-foundry-classic

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 with RAG, tools, evaluators, Azure OpenAI, VNet/Private Link, or CI/CD deployments, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry

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github stars525
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first seenMar 17, 2026
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┌ repo

MicrosoftDocs/Agent-Skills
by MicrosoftDocs
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┌ tags

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