What is InsForge and why do I need specific patterns for it?

InsForge is a platform that uses PostgREST to provide a RESTful API over PostgreSQL. These patterns are optimized for PostgREST's specific way of handling relationships, filtering, and security.

How does this skill help with data security?

It provides pre-configured Row Level Security (RLS) policies for every pattern, ensuring users can only access or modify data they are explicitly authorized to handle.

Can I use these patterns with standard PostgreSQL databases?

Absolutely. While the SDK examples are specific to InsForge, the SQL schemas and RLS policies are standard PostgreSQL and can be used in any Postgres environment.

Does it support multi-tenant SaaS applications?

Yes, it includes a dedicated pattern for organization-scoped data isolation, allowing you to build apps where users only see data belonging to their specific organization.

InsForge Schema Patterns

Name: InsForge Schema Patterns
Author: Microck

byMicrock

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Database Management

Provides expert PostgreSQL schema patterns and Row Level Security (RLS) policies optimized for InsForge and PostgREST backends.

About

This skill offers a comprehensive library of battle-tested database schema patterns specifically designed for InsForge's PostgREST-based architecture. It equips developers with optimized SQL structures for common application features like social graphs, many-to-many junction tables for likes, self-referential tables for nested comments, and complex multi-tenant architectures. Each pattern includes robust Row Level Security (RLS) policies to ensure data privacy, indexing best practices for high performance, and corresponding JavaScript SDK query examples to help developers bridge the gap between database design and frontend implementation.

Key Features

Direct integration examples for the InsForge JavaScript SDK
Secure multi-tenant organization-scoped Row Level Security (RLS) policies
Pre-built PostgreSQL schemas for social graphs and many-to-many relationships
81 GitHub stars
Performance-optimized indexing strategies for foreign key columns
Implementation patterns for self-referential tables for nested comment threads

Use Cases

Designing the backend data model for a new social media or networking platform
Building a secure multi-tenant SaaS application with isolated organization workspaces
Implementing complex threaded discussions or hierarchical content systems

About

Key Features

Direct integration examples for the InsForge JavaScript SDK
Secure multi-tenant organization-scoped Row Level Security (RLS) policies
Pre-built PostgreSQL schemas for social graphs and many-to-many relationships
81 GitHub stars
Performance-optimized indexing strategies for foreign key columns
Implementation patterns for self-referential tables for nested comment threads

Use Cases

Designing the backend data model for a new social media or networking platform
Building a secure multi-tenant SaaS application with isolated organization workspaces
Implementing complex threaded discussions or hierarchical content systems