- Capabilities
- Read
- Category
- Data
- Developer
- Azure Cosmos DB
- Website
- (opens in a new window)
How it works
The official Azure Cosmos DB plugin bundles a curated set of agent skills covering data modeling, partition key design, query optimization, SDK best practices (singleton client, bulk operations, direct mode), indexing strategies (composite, spatial, exclude unused), vector search (DiskANN, flat, quantized flat), full-text search (BM25, hybrid queries), global distribution (multi-region writes, conflict resolution), security (Entra ID, managed identity, RBAC, network restrictions), throughput and scaling (autoscale, serverless), monitoring and diagnostics, and design patterns (change feed, transactional batch). It gives your agent the knowledge to generate reliable Cosmos DB code and apply best practices end to end.
What else can you do?
Choose an orders partition key
Microsoft Azure CosmosDB Review the attached orders schema and access patterns. Compare customer ID, order ID, and a hierarchical partition key; recommend one for our growth forecast and explain the tradeoffs.
Reduce database query costs
Microsoft Azure CosmosDB Review this query, index policy, and query metrics for high request-unit costs. Propose an equivalent query and targeted index changes, then outline how to compare cost and latency.
Design product similarity search
Microsoft Azure CosmosDB Design vector search for the attached product catalog and workload. Compare flat and DiskANN indexes, recommend one, and draft the embedding policy and similarity query with category and availability filters.
What’s included
Skill
- Azure Cosmos DB Best Practices
Resources
Add plugins in a few clicks
Availability depends on the plugin, your plan, and workspace settings. Some connections require admin setup or approval. Contact your workspace admin if access is blocked.
