Convex Queries

About

Streamline the development of Convex database queries with specialized guidance on performance optimization and best practices. This skill assists in building robust data fetching layers by implementing proper indexing strategies, pagination patterns, and full-text search capabilities while ensuring adherence to Convex-specific constraints like argument validation and execution limits. It serves as an essential companion for developers looking to replace inefficient filtering with high-performance index-based queries and manage large datasets effectively through standardized cursor-based pagination.

Key Features

• Full-text search configuration and querying
• Standardized implementation of cursor-based pagination
• Best practices for function definition and argument validation
• Index-based query optimization and performance patterns
• Efficient result ordering and document retrieval strategies
• 7 GitHub stars

Use Cases

• Building high-performance data retrieval layers in Convex
• Implementing search and pagination for large datasets
• Optimizing database queries to stay within execution limits