InsForge is a development framework that utilizes PostgREST to provide a RESTful API directly from your PostgreSQL database schema.

Does it support multi-tenant SaaS applications?

Yes, it includes specialized patterns for organization-scoped data, member role management, and tenant-based access control.

Does this skill include Row Level Security (RLS) policies?

Yes, every schema pattern provided includes specific RLS policies to ensure secure data access and multi-tenant isolation at the database level.

Can I use these patterns for standard PostgreSQL projects?

While optimized for InsForge and PostgREST SDK syntax, these are standard SQL patterns that work with any PostgreSQL-based application.

InsForge Database Schema Patterns

Name: InsForge Database Schema Patterns
Author: Activer007

byActiver007

数据库管理

Provides optimized PostgreSQL schema patterns and Row Level Security policies for building secure, scalable InsForge applications.

关于

This skill equips Claude with expert-level patterns for designing robust PostgreSQL databases tailored for the InsForge ecosystem and PostgREST backends. It provides ready-to-use templates for common application architectures including social graphs, many-to-many relationships for engagement systems, self-referential structures for threaded comments, and multi-tenant organization scoping. By incorporating best practices for indexing and Row Level Security (RLS), this skill helps developers build high-performance data models and secure APIs without manual trial and error.

主要功能

Pre-built social graph schemas for follows and connection systems
Production-ready Row Level Security (RLS) policy templates for data privacy
Self-referential schema designs for nested, threaded comment systems
0 GitHub stars
Junction table patterns for likes and complex many-to-many relationships
Multi-tenant architecture templates with organization-based data isolation

使用场景

Creating complex content hierarchies with nested replies and user interactions
Designing a scalable social media backend with follower systems and activity feeds
Implementing secure multi-tenant SaaS platforms where users only access their organization's data

关于

主要功能

Pre-built social graph schemas for follows and connection systems
Production-ready Row Level Security (RLS) policy templates for data privacy
Self-referential schema designs for nested, threaded comment systems
0 GitHub stars
Junction table patterns for likes and complex many-to-many relationships
Multi-tenant architecture templates with organization-based data isolation

使用场景

Creating complex content hierarchies with nested replies and user interactions
Designing a scalable social media backend with follower systems and activity feeds
Implementing secure multi-tenant SaaS platforms where users only access their organization's data