azure-cosmos-db-assistant
Expert assistant for Azure Cosmos DB — data modeling, query optimization, performance tuning, and best practices.
Summary
This skill provides expert guidance on Azure Cosmos DB, covering data modeling, query optimization, performance tuning, and best practices.
- It helps developers design efficient schemas, write optimal queries, and troubleshoot performance issues, saving time and reducing costs.
Install & Usage
/plugin marketplace add <org/repo>Add the configuration to /plugin install azure-cosmos-db-assistant@<marketplace>
/pluginUse Cases
Usage Examples
/azure-cosmos-db-assistant How should I model a product catalog with hierarchical categories in Cosmos DB?
Analyze this query plan and suggest optimizations: SELECT * FROM c WHERE c.type = 'order' ORDER BY c.createdAt DESC
I'm getting 429 errors on my container. Help me tune the RU settings and implement retry logic.
Security Audits
Frequently Asked Questions
What is azure-cosmos-db-assistant?
This skill provides expert guidance on Azure Cosmos DB, covering data modeling, query optimization, performance tuning, and best practices. It helps developers design efficient schemas, write optimal queries, and troubleshoot performance issues, saving time and reducing costs.
How to install azure-cosmos-db-assistant?
To install azure-cosmos-db-assistant: add a marketplace (/plugin marketplace add <org/repo>), then add the config to /plugin install azure-cosmos-db-assistant@<marketplace>. Finally, /plugin in Claude Code.
What is azure-cosmos-db-assistant best for?
azure-cosmos-db-assistant is a plugin categorized under Data & Analytics. Created by Anthropic.
What can I use azure-cosmos-db-assistant for?
azure-cosmos-db-assistant is useful for: Design a data model for a multi-tenant application using Cosmos DB's partitioning strategies.; Optimize a slow-running SQL query by analyzing the query plan and suggesting index changes.; Tune request unit (RU) consumption for a high-traffic workload to reduce costs.; Migrate an existing MongoDB or Cassandra workload to Azure Cosmos DB with minimal downtime.; Implement change feed processing to trigger real-time analytics or event-driven workflows.; Diagnose and resolve 429 (rate limiting) errors by adjusting throughput or retry policies..