Agent skill
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/serverless/Hyperscale, configuring geo‑replication/Data Sync, or securing with Entra/TDE, and other Azure SQL Database related development tasks. Not for Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db), Azure Database for PostgreSQL (use azure-database-postgresql).
Install this agent skill to your Project
npx add-skill https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-sql-database
Metadata
Additional technical details for this skill
- generator
- docs2skills/1.0.0
- generated at
- 2026-04-05
SKILL.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), connectivity, capacity/scaling, geo‑replication, data sync, imports/exports, and transaction log errors. |
| Best Practices | L60-L76 | Best practices for Azure SQL operations: monitoring, security, HA/DR, failover, maintenance, space management, read replicas, elastic pools, Data Sync, and post-migration T-SQL adaptation. |
| Decision Making | L77-L100 | Choosing Azure SQL deployment, compute, and licensing options (DTU vs vCore, serverless, Hyperscale), cost/DR planning, migration paths, and automation/standby configuration decisions. |
| Architecture & Design Patterns | L101-L117 | 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 | L118-L131 | 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 | L132-L199 | Configuring Azure SQL security: authentication (Entra, managed identity, MFA), network/firewall, auditing, encryption (TDE, Always Encrypted), threat protection, compliance, and best practices. |
| Configuration | L200-L265 | Configuring Azure SQL: monitoring, maintenance, backups/immutability, scaling and elastic pools, geo-replication/failover, Data Sync, networking/TLS/DNS, and deployment via CLI/PowerShell/ARM. |
| Integrations & Coding Patterns | L266-L294 | 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 | L295-L310 | Deploying and scaling Azure SQL databases/MI: automation (GitHub, ARM, Bicep, Terraform), Hyperscale/elastic pools, 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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