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cosmosdb-best-practices

Apply 73+ Azure Cosmos DB performance rules across data modeling, queries, and SDKs.

19|3|Updated May 17, 2026
Search Tags:#azure#sdk#partitioning#nosql#vector-search#database-optimization#cosmos-db
One-click install
npx skills add https://github.com/cline/skills --skill cosmosdb-best-practices
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cosmosdb-best-practices
Source: https://github.com/cline/skills/tree/main/skills/cosmosdb-best-practices
Command: npx skills add https://github.com/cline/skills --skill cosmosdb-best-practices

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of building high-performance, scalable applications with Azure Cosmos DB by providing comprehensive, rule-based guidance that prevents common pitfalls and costly performance issues.

Core Features & Use Cases

  • 73+ Performance Rules: Covers data modeling, partitioning, queries, SDK usage, indexing, throughput, global distribution, monitoring, design patterns, and vector search.
  • Multi-Language Examples: Provides correct and incorrect code patterns for .NET, Java, Python, and JavaScript SDKs.
  • Use Case: When designing a new Cosmos DB container, use this Skill to select the optimal partition key and indexing policy to avoid hot partitions and excessive RU consumption.

Quick Start

Use the cosmosdb-best-practices skill to review your Cosmos DB container configuration and identify the top three rules that will reduce your RU consumption the most.

Frequently Asked Questions about cosmosdb-best-practices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize Azure Cosmos DB performance and reduce RU consumption?▼

Optimize Azure Cosmos DB performance by applying 73+ rules across 10 categories, including data modeling, partitioning, and query optimization, to reduce RU consumption and prevent hot partitions.

What is the best way to choose a partition key for Cosmos DB NoSQL containers?▼

The best way to choose a Cosmos DB partition key is to evaluate your data modeling and access patterns using best practices that prevent hot partitions and ensure high scalability.

Does this Cosmos DB optimization guidance include code examples for Python and JavaScript SDKs?▼

Yes, this Cosmos DB optimization guidance includes correct and incorrect code patterns for .NET, Java, Python, and JavaScript SDKs to help refactor and develop high-performance database operations.

How does vector search work with Azure Cosmos DB?▼

Vector search in Azure Cosmos DB is handled through specific performance rules and design patterns that optimize vector indexing and querying within your NoSQL database operations.

When should I review my Cosmos DB indexing policy to improve throughput?▼

You should review your Cosmos DB indexing policy when designing a new container or refactoring existing ones, as optimal indexing directly reduces RU consumption and improves throughput.

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