Does this skill help with database security?

Yes, every pattern included provides comprehensive Row Level Security (RLS) policies to ensure users can only access or modify data they are authorized to see.

Can I use these patterns for general PostgreSQL projects?

Absolutely. While optimized for InsForge and PostgREST, the SQL patterns, indexing strategies, and constraint logic follow general PostgreSQL best practices.

How do these patterns improve application performance?

Each pattern includes specific indexing recommendations for foreign keys and unique constraints to prevent data duplication and ensure high-speed query execution.

What is InsForge in the context of this skill?

InsForge is a platform that utilizes a PostgREST backend; these schema patterns are specifically optimized for its unique data-fetching syntax and security models.

InsForge Schema Patterns

Name: InsForge Schema Patterns
Author: Microck

byMicrock

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Database Management

Provides expert PostgreSQL schema patterns and RLS policies optimized for InsForge and PostgREST applications.

About

This skill equips developers with production-ready database design patterns specifically tailored for InsForge's PostgREST backend. It covers essential architectural needs such as social graphs, multi-tenant organization scoping, nested comment threads, and many-to-many relationship management, all while emphasizing security through fine-grained Row Level Security (RLS) policies. By using these standardized patterns, developers can ensure high-performance queries, data integrity, and secure multi-user access without reinventing common database structures for every new project.

Key Features

Secure many-to-many junction tables for likes and interactions
Social graph implementation for follows and connections
81 GitHub stars
Multi-tenant architecture with organization-based scoping
Self-referential schema design for nested comment threads
Optimized PostgreSQL RLS policies for authenticated user access

Use Cases

Designing a social media platform with follow systems and post interactions
Building a secure SaaS application with organization-level data isolation
Implementing a structured commenting system with threaded replies

About

Key Features

Secure many-to-many junction tables for likes and interactions
Social graph implementation for follows and connections
81 GitHub stars
Multi-tenant architecture with organization-based scoping
Self-referential schema design for nested comment threads
Optimized PostgreSQL RLS policies for authenticated user access

Use Cases

Designing a social media platform with follow systems and post interactions
Building a secure SaaS application with organization-level data isolation
Implementing a structured commenting system with threaded replies