congiuluc/database-cosmosdb
skills/database-cosmosdb/SKILL.md
Configure and optimize Azure Cosmos DB for .NET applications. Covers partition key design, RU optimization, consistency levels, indexing policies, change feed, and the Cosmos DB .NET SDK. Use when: setting up Cosmos DB, designing containers, optimizing query cost, configuring consistency levels, or implementing change feed processors.
development
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add congiuluc/my-awesome-copilot database-cosmosdbInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- database-cosmosdb
- description:
- Configure and optimize Azure Cosmos DB for .NET applications. Covers partition key design, RU optimization, consistency levels, indexing policies, change feed, and the Cosmos DB .NET SDK. Use when: setting up Cosmos DB, designing containers, optimizing query cost, configuring consistency levels, or implementing change feed processors.
- argument-hint:
- Describe the Cosmos DB configuration, optimization, or issue to address.
Azure Cosmos DB Database Skill
When to Use
- Setting up Azure Cosmos DB (NoSQL API) for production
- Designing partition key strategies for scalable containers
- Optimizing RU (Request Unit) consumption
- Choosing consistency levels for your workload
- Configuring indexing policies for query patterns
- Using Change Feed for event-driven scenarios
- Running the Cosmos DB .NET SDK or EF Core Cosmos provider
Official Documentation
- Azure Cosmos DB Documentation
- Cosmos DB .NET SDK v3
- Partition Key Design
- Request Units (RU)
- Indexing Policies
- Consistency Levels
- Change Feed
- Cosmos DB Best Practices (.NET)
Procedure
- Design partition key and data model — see data modeling
- Configure SDK client properly — see sdk setup
- Optimize queries and indexing — see performance tuning
- Implement change feed if needed — see change feed
- Review complete sample
Key Principles
- Partition key is the most critical design decision — choose based on query patterns, not entity structure
- Always specify partition key in point reads —
ReadItemAsynccosts 1 RU - Cross-partition queries are expensive — design to avoid them
- Use
CosmosClientas a singleton — it manages connections internally - Use Direct mode (not Gateway) for lowest latency
- Monitor RU consumption via response headers
- Prefer point reads (
ReadItemAsync) over queries when possible - Use hierarchical partition keys for multi-tenant scenarios
- Store related data together (denormalize) — joins don't exist
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