jikime-platform-supabase

To optimize PostgreSQL queries in Supabase, apply advanced database tuning strategies across 8 categories using 30 prioritized rules, including indexing, connection pooling, and query optimization to achieve low latency.

Implementing real-time subscriptions in a Next.js full-stack application involves utilizing Supabase real-time features alongside robust authentication and efficient data storage to handle live data synchronization effectively.

pgvector integrates with Supabase by providing efficient vector search and AI embedding management directly within PostgreSQL 16, enabling similarity searches across stored vector data.

Yes, you can use Row-Level Security (RLS) with Supabase to enforce robust authentication and restrict data access directly at the database level, ensuring secure full-stack application development.

Limitations of PostgreSQL performance tuning for real-time applications often involve connection pooling bottlenecks and indexing overhead, requiring careful strategy across 8 tuning categories to maintain low latency.

Next.js is not strictly required, but this Skill provides specific guidance for Next.js integration, covering CRUD operations, authentication, and real-time features for full-stack Supabase applications.