surrealdb-expert

Design secure SurrealDB schemas with RBAC, row-level security, and live queries.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/ConnectiveTCS/Gradient_Generator --skill surrealdb-expert-connectivetcs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: surrealdb-expert
Source: https://github.com/ConnectiveTCS/Gradient_Generator/tree/main/.agents/skills/surrealdb-expert
Command: npx skills add https://github.com/ConnectiveTCS/Gradient_Generator --skill surrealdb-expert-connectivetcs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SurrealDB experts often struggle to design secure, scalable multi-model schemas and real-time data flows that meet RBAC, row-level security, and performance requirements. This guide outlines the core capabilities needed to architect complex SurrealDB deployments and deliver robust data access patterns.

Core Features & Use Cases

  • Flexible schema design with SCHEMAFULL, type validation, and edge definitions
  • Secure, scalable multi-model data modeling (graph + documents) with RBAC
  • Real-time subscriptions and live queries with safe resource management

Quick Start

Provide a ready-to-deploy SurrealDB schema design and policy blueprint for a multi-model application.

Frequently Asked Questions about surrealdb-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a secure multi-model database schema in SurrealDB?

Designing a secure SurrealDB schema requires strict SCHEMAFULL definitions, per-table PERMISSIONS, and robust edge definitions. This approach enables flexible graph and document modeling while enforcing row-level security and type validation across complex applications.

What is the best way to implement row-level security and RBAC in SurrealDB?

Implementing row-level security and RBAC in SurrealDB involves defining per-table PERMISSIONS and using parameterized queries. This restricts data access based on user roles, ensuring safe resource management across multi-model graph and document structures.

How do I set up real-time subscriptions and live queries in SurrealDB?

Setting up real-time subscriptions in SurrealDB relies on disciplined SurrealQL usage for live queries. You must apply proper indexing and safe resource management to maintain performance while streaming multi-model data changes to complex applications.

When do I need SCHEMAFULL definitions for SurrealDB graph and document models?

You need SCHEMAFULL definitions for SurrealDB graph and document models when building scalable applications requiring strict type validation. This enforces disciplined SurrealQL usage and ensures secure, predictable data access patterns for complex multi-model architectures.

How do I ensure performance and security when architecting complex SurrealDB deployments?

Ensuring SurrealDB performance and security requires parameterized queries, proper indexing, and strict SCHEMAFULL definitions. Applying per-table PERMISSIONS for RBAC and row-level security delivers robust data access patterns for complex multi-model applications.