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Expert knowledge for Azure Database for PostgreSQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
Passed 10 of 16 test cases with the skill, and 2 of 16 without it.
and 9 more in the full report
11 fixed3 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our DevOps platform team automates cloud infrastructure using Infrastructure as Code templates. What official Microsoft reference link provides Bicep template deployment patterns for Azure Database for PostgreSQL Flexible Server?
| Checked | Without skill | With skill |
|---|---|---|
| includes link https://learn.microsoft.com/en-us/azure/postgresql/development/create-server-bicep | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides expert guidance for Azure Database for PostgreSQL. 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.
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 |
|---|---|---|
| Troubleshooting | L37-L74 | Diagnosing and fixing PostgreSQL issues on Azure: connectivity/TLS, HA and replicas, performance (CPU, IOPS, memory, slow queries, autovacuum), migrations, extensions, CLI, and troubleshooting guides. |
| Best Practices | L75-L96 | Performance, tuning, and migration best practices for Azure PostgreSQL: query optimization, pooling, extensions, upgrades, Oracle-to-Postgres, bulk load, replicas, and maintenance. |
| Decision Making | L97-L113 | Guidance on sizing and scaling Flexible Server (compute, storage, Ultra Disk), networking/Private Link, hosting choices, replicas promotion, and PostgreSQL versioning, upgrades, and support. |
| Architecture & Design Patterns | L114-L125 | Architectures and patterns for PostgreSQL on Azure: microservices, multitenancy, sharding, table design, caching with Redis, and using OpenAI for recommendations and semantic search. |
| Limits & Quotas | L126-L150 | Backup, restore, PITR, geo-restore, SSD/SSDv2 limits, quotas, elastic cluster limits, connection caps, migration/conversion limitations, and storage performance/autogrow settings. |
| Security | L151-L182 | Securing Azure Database for PostgreSQL: identity (managed/Entra), auth (SCRAM, roles), network (firewall, Private Link, TLS), encryption, auditing, Defender, and policy-based hardening. |
| Configuration | L183-L269 | Configuring Azure Database for PostgreSQL servers: maintenance windows, extensions, tuning (autovacuum, Query Store, planner), logging/metrics, networking, HA, replication, VS Code tools, and CLI-based management. |
| Integrations & Coding Patterns | L270-L295 | Patterns and code for integrating Azure PostgreSQL with AI/ML (Language, AML, LangChain, Foundry, MCP), vector search (pgvector, DiskANN), SDK automation, Data Factory, CLI, and VS Code/Copilot tools. |
| Deployment | L296-L304 | Deploying and migrating PostgreSQL to Azure: CI/CD with Azure Pipelines, offline migrations from Aurora/RDS/on-prem/VM, VNet-to-private endpoint moves, and point-in-time restore. |
test cases passed, vs 2 / 16 without
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