How does this skill handle Realtime security?

It implements private channels by default and provides specific Row Level Security (RLS) policy templates for the realtime schema to ensure data privacy.

Why does this skill prefer broadcast over postgres_changes?

Broadcast is multi-threaded and highly scalable, whereas postgres_changes is single-threaded and can become a performance bottleneck in high-traffic applications.

Can I use this for existing Supabase projects?

Yes, it includes migration scripts and patterns to help you transition existing database listeners to the more efficient broadcast-trigger architecture.

What naming conventions are recommended for topics?

The skill suggests a granular 'scope:entity:id' pattern, such as 'room:123:messages', to ensure efficient message routing and precise security controls.

Supabase Realtime Implementation

Name: Supabase Realtime Implementation
Author: Raudbjorn

byRaudbjorn

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Database Management

Implements scalable Supabase Realtime features using high-performance broadcast patterns, secure RLS authorization, and automated database triggers.

About

This skill provides an expert implementation framework for Supabase Realtime, prioritizing scalable broadcast patterns over traditional postgres_changes to ensure production-grade performance. It guides developers through setting up dedicated topics, configuring private channels with Row Level Security (RLS), and implementing database triggers that automatically broadcast changes. Whether you are building collaborative tools, live notifications, or chat systems, this skill ensures your realtime architecture follows industry best practices for security and efficiency.

Key Features

Optimized broadcast-first architecture for superior scalability
Secure private channel patterns with RLS policy templates
Ready-to-use migration scripts for legacy postgres_changes systems
Automated database trigger functions for realtime notifications
2 GitHub stars
Standardized naming conventions for topics and event handling

Use Cases

Implementing real-time system notifications and user activity feeds
Building low-latency collaborative features like shared editing or messaging
Scaling database change notifications in high-traffic Supabase applications

About

Key Features

Optimized broadcast-first architecture for superior scalability
Secure private channel patterns with RLS policy templates
Ready-to-use migration scripts for legacy postgres_changes systems
Automated database trigger functions for realtime notifications
2 GitHub stars
Standardized naming conventions for topics and event handling

Use Cases

Implementing real-time system notifications and user activity feeds
Building low-latency collaborative features like shared editing or messaging
Scaling database change notifications in high-traffic Supabase applications