cosmosdb-best-practices

SKILL.md

Azure Cosmos DB Best Practices

Comprehensive performance optimization guide for Azure Cosmos DB applications, containing 100+ rules across 12 categories, prioritized by impact to guide automated refactoring and code generation.

When to Apply

Reference these guidelines when:

Designing data models for Cosmos DB

Choosing partition keys

Writing or optimizing queries

Implementing SDK patterns

Using the Cosmos DB Emulator for local development

Inspecting or managing Cosmos DB data with developer tooling

Implementing vector search or RAG features on Cosmos DB

Reviewing code for performance issues

Configuring throughput and scaling

Building globally distributed applications

Rule Categories by Priority