What does the Supabase Platform Specialist skill do?

It provides Claude with domain-specific knowledge to help developers build, secure, and scale applications on the Supabase platform using optimized patterns and best practices.

Does it support database security and multi-tenancy?

Absolutely; the skill features robust patterns for Row-Level Security (RLS) to ensure multi-tenant data isolation and secure access control at the database level.

Can this skill help with AI features like vector search?

Yes, it includes specialized modules for the pgvector extension to implement semantic search and manage vector embeddings for AI-powered applications.

Is it compatible with TypeScript and modern frameworks?

Yes, it includes specific TypeScript patterns for the Supabase client, service layer abstractions, and type-safe database operations for modern web development.

How does it handle real-time collaborative features?

The skill provides implementation patterns for Postgres Changes subscriptions and Presence tracking to build live-updating, collaborative application features.

Supabase Platform Specialist

Name: Supabase Platform Specialist
Author: modu-ai

bymodu-ai

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Cloud Infrastructure

Architects and implements full-stack Supabase applications using PostgreSQL 16, pgvector search, and secure multi-tenant patterns.

About

The Supabase Platform Specialist skill transforms Claude into a domain expert for the Supabase ecosystem, providing specialized guidance for building scalable, production-ready backends. It offers deep integration patterns for PostgreSQL 16 and pgvector for AI-driven similarity search, alongside robust implementations of Row-Level Security (RLS) for data isolation. Whether you are deploying serverless Edge Functions with Deno, managing real-time subscriptions for collaborative apps, or configuring secure authentication and storage, this skill provides the best practices and code patterns necessary to leverage the full power of the Supabase platform.

Key Features

16 GitHub stars
Multi-tenant data isolation using Row-Level Security (RLS) policies
Integrated Auth and Storage configuration with image transformations
Serverless Edge Function development with Deno runtime
Advanced PostgreSQL 16 and pgvector semantic search implementation
Real-time data synchronization and presence state management

Use Cases

Developing multi-tenant SaaS platforms with strict database-level security
Implementing real-time collaborative features like live chat or presence tracking
Building AI-powered applications requiring vector embeddings and semantic search

About

Key Features

16 GitHub stars
Multi-tenant data isolation using Row-Level Security (RLS) policies
Integrated Auth and Storage configuration with image transformations
Serverless Edge Function development with Deno runtime
Advanced PostgreSQL 16 and pgvector semantic search implementation
Real-time data synchronization and presence state management

Use Cases

Developing multi-tenant SaaS platforms with strict database-level security
Implementing real-time collaborative features like live chat or presence tracking
Building AI-powered applications requiring vector embeddings and semantic search