Does this skill handle database security?

Yes, it provides specific Row Level Security (RLS) patterns to ensure users can only access or modify data they are authorized to see.

InsForge is a development platform that leverages PostgREST to provide an instant, secure RESTful API layer over PostgreSQL databases.

Does it support hierarchical data?

Yes, it includes self-referential schema patterns specifically designed for nested comments and threaded reply systems.

Can I use these patterns for standard PostgreSQL projects?

While optimized for the InsForge SDK and PostgREST, the underlying PostgreSQL schemas and RLS logic are applicable to any standard PostgreSQL implementation.

Does it include frontend code examples?

Yes, the skill provides JavaScript code snippets demonstrating how to query these specific schema patterns using the InsForge SDK.

InsForge Schema Patterns

Name: InsForge Schema Patterns
Author: Microck

byMicrock

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Gestión de Bases de Datos

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

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This skill equips Claude with specialized knowledge for architecting robust PostgreSQL databases specifically tailored for the InsForge ecosystem. It offers pre-defined patterns for complex data relationships—such as social graphs, many-to-many junction tables, and nested comment threads—while ensuring data security through sophisticated Row Level Security (RLS) policies. It is particularly useful for developers building scalable SaaS or social applications who need to implement multi-tenancy and efficient data querying using the InsForge SDK.

Características Principales

Self-referential table structures for nested comment threads
Optimized SQL indexing and InsForge SDK query examples
Many-to-many junction table implementations for likes and bookmarks
Social graph schema patterns for follows and connections
Multi-tenant organization-scoped data modeling with RLS
81 GitHub stars

Casos de Uso

Building a multi-tenant SaaS platform requiring strict data isolation between organizations
Implementing hierarchical data structures like threaded discussions or nested replies
Designing the backend database for a social media application with complex user interactions

Acerca de

Características Principales

Self-referential table structures for nested comment threads
Optimized SQL indexing and InsForge SDK query examples
Many-to-many junction table implementations for likes and bookmarks
Social graph schema patterns for follows and connections
Multi-tenant organization-scoped data modeling with RLS
81 GitHub stars

Casos de Uso

Building a multi-tenant SaaS platform requiring strict data isolation between organizations
Implementing hierarchical data structures like threaded discussions or nested replies
Designing the backend database for a social media application with complex user interactions