> azure-sql-database
Expert knowledge for Azure SQL Database development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing DTU/vCore tiers, Hyperscale, geo-replication/HA, Data Sync/sharding, or automated CI/CD deployments, and other Azure SQL Database related development tasks. Not for Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Vi
curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-sql-database?format=md"Azure SQL Database Skill
This skill provides expert guidance for Azure SQL Database. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. 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), 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:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L59 | Diagnosing and fixing Azure SQL issues: performance (CPU, memory, deadlocks, blocking), capacity/log, import/export, connectivity, geo-replication, Data Sync, and Managed Instance errors. |
| Best Practices | L60-L76 | Best practices for Azure SQL operations: monitoring, auditing, security, HA/DR, failover, read replicas, maintenance, file space, Data Sync, and post-migration behavior. |
| Decision Making | L77-L100 | Guidance for choosing Azure SQL service tiers, pricing models, automation/DR options, Hyperscale choices, and migration paths (DTU↔vCore, sharding, Data Sync, Hybrid Benefit, reservations). |
| Architecture & Design Patterns | L101-L119 | Architectural patterns for Azure SQL: geo-replication, HA/DR, backups, connectivity, sharding/elastic scale-out, multi-tenant SaaS models, and rolling upgrade/failover designs. |
| Limits & Quotas | L120-L133 | Limits, quotas, and resource caps for Azure SQL (free tiers, DTU/vCore, elastic pools, Hyperscale), plus how to request quota increases and watcher/operational constraints. |
| Security | L134-L204 | Configuring Azure SQL security: auth (Entra, MFA, MI), network isolation, auditing, Defender, data protection (TDE, Always Encrypted, masking, classification), compliance, and best‑practice hardening. |
| Configuration | L205-L271 | Configuring Azure SQL databases and pools: monitoring, backups, geo-replication/failover, maintenance windows, security/immutability, scaling, elastic jobs/queries, and CLI/PowerShell/REST setup. |
| Integrations & Coding Patterns | L272-L302 | Connecting apps and tools to Azure SQL (EF Core, .NET, Node.js, Python), sharding/elastic patterns, and automating management, replication, sync, and streaming via PowerShell/Spark/Stream Analytics |
| Deployment | L303-L317 | Guides for deploying and moving Azure SQL databases: automation (GitHub, ARM, Bicep, Terraform), Hyperscale setup, regional moves, feature availability, and dev environment setup. |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
Limits & Quotas
Security
Configuration
Integrations & Coding Patterns
Deployment
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> 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
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> 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