Can I add complex filters like date ranges?

Absolutely. The skill includes specific patterns and code templates for implementing minimum and maximum ranges for both dates and numbers.

Does it handle query string type conversion?

Yes, it utilizes Zod's coercion features to properly convert string query parameters into booleans, numbers, or dates automatically.

Are tests included in the implementation?

Yes, the skill provides comprehensive test templates for both schema validation and repository logic to ensure your filters work as expected.

What databases does this skill support?

It provides implementation patterns for both MockDB (in-memory) and MongoDB repositories to ensure consistency across environments.

Does this skill help with database performance?

Yes, it includes a dedicated section on adding MongoDB indexes to ensure that new filters remain performant as your dataset grows.

Add Query Filter

Name: Add Query Filter
Author: madooei

bymadooei

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API Development

Adds custom query parameter filters to entity schemas and repository implementations for robust API search capabilities.

About

The Add Query Filter skill streamlines the process of extending search and filtering capabilities in TypeScript-based backend services. It provides a structured approach to updating Zod schemas for validation and implementing filter logic across both MockDB and MongoDB repository layers. This ensures consistent behavior between development environments and production databases while maintaining type safety and robust test coverage for complex filtering patterns like date ranges, numeric bounds, and partial text matches.

Key Features

Automated test generation for schemas and repository behavior
1 GitHub stars
Best practice guidance for MongoDB indexing on filtered fields
Zod schema extension for type-safe query parameter validation
Support for diverse data types including enums, booleans, and date ranges
Synchronized implementation for MockDB and MongoDB repositories

Use Cases

Implementing advanced filtering like price ranges or date-based queries
Adding search functionality to an existing REST API endpoint
Extending base pagination with domain-specific search criteria

About

Key Features

Automated test generation for schemas and repository behavior
1 GitHub stars
Best practice guidance for MongoDB indexing on filtered fields
Zod schema extension for type-safe query parameter validation
Support for diverse data types including enums, booleans, and date ranges
Synchronized implementation for MockDB and MongoDB repositories

Use Cases

Implementing advanced filtering like price ranges or date-based queries
Adding search functionality to an existing REST API endpoint
Extending base pagination with domain-specific search criteria