How does this skill handle database security?

It provides standardized SQL patterns for enabling Row Level Security (RLS) and creating policies that restrict data access based on authenticated user IDs or roles.

Can I use this for complex data relationships?

Yes, the skill includes specific syntax examples for one-to-many, many-to-one, and many-to-many relations using the Supabase client.

Does it support TypeScript type safety?

Absolutely. It includes instructions for generating types via the Supabase CLI and integrating them into your client requests for full type safety.

What kind of database filters are supported?

It covers a wide range of filters including basic comparisons, pattern matching (LIKE/ILIKE), list operations (IN/Contains), and range operations.

Supabase Database

Name: Supabase Database
Author: adaptationio

byadaptationio

Gestión de Bases de Datos

Streamlines Supabase database management through optimized CRUD operations, Row Level Security (RLS) implementation, and PostgreSQL function support.

Acerca de

This skill provides a comprehensive framework for interacting with Supabase and PostgreSQL, offering standardized patterns for complex data operations. It enables developers to perform advanced filtering, manage multi-tenant security via Row Level Security (RLS) policies, and execute Remote Procedure Calls (RPC) with ease. By incorporating best practices for performance optimization and TypeScript integration, it ensures that your application's data layer is secure, efficient, and fully type-safe.

Características Principales

Advanced CRUD operations with complex filtering and pattern matching
Relational query patterns for one-to-many and many-to-many joins
0 GitHub stars
Comprehensive Row Level Security (RLS) policy templates and performance tips
PostgreSQL function definition and RPC (Remote Procedure Call) integration
Type-safe database interactions with TypeScript generation support

Casos de Uso

Building secure multi-tenant backends using custom RLS policies
Implementing complex data retrieval with nested relational joins
Automating backend workflows with PostgreSQL functions and TypeScript

Acerca de

Características Principales

Advanced CRUD operations with complex filtering and pattern matching
Relational query patterns for one-to-many and many-to-many joins
0 GitHub stars
Comprehensive Row Level Security (RLS) policy templates and performance tips
PostgreSQL function definition and RPC (Remote Procedure Call) integration
Type-safe database interactions with TypeScript generation support

Casos de Uso

Building secure multi-tenant backends using custom RLS policies
Implementing complex data retrieval with nested relational joins
Automating backend workflows with PostgreSQL functions and TypeScript