Is there a focus on database performance?

Absolutely. The skill includes guidance on indexing strategies, connection pooling, and optimizing complex graph traversals to ensure low-latency performance.

Does it support specific programming languages or SDKs?

Yes, it provides implementation guidance and best practices for major SurrealDB SDKs including Rust, JavaScript/TypeScript, Python, and Go.

Can it help with real-time application features?

Yes, it specializes in implementing LIVE queries and WebSocket subscriptions, providing patterns for reactive updates in modern web applications.

What database models does this skill support?

It supports SurrealDB's full multi-model architecture, including document, graph, relational, time-series, and key-value storage patterns.

How does this skill handle database security?

It prioritizes security-by-default, implementing Row-Level Security (RLS), RBAC, and strict SCHEMAFULL definitions with ASSERT validation to protect sensitive data.

SurrealDB Expert

Name: SurrealDB Expert
Author: martinholovsky

bymartinholovsky

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Database Management

Architects, optimizes, and secures SurrealDB applications using multi-model database patterns and real-time capabilities.

About

The SurrealDB Expert skill empowers developers to build sophisticated applications on SurrealDB's multi-model platform. It provides deep expertise in SurrealQL, graph relations, document storage, and strict schema definitions. By emphasizing a Test-Driven Development (TDD) approach and security-first principles—including Row-Level Security (RLS) and Role-Based Access Control (RBAC)—this skill ensures that your database architecture is not only high-performing and scalable but also resilient against common vulnerabilities. Whether you are implementing real-time live queries or complex graph traversals, this skill provides the patterns and best practices needed for production-grade database management.

Key Features

Real-time live query integration for reactive applications
SurrealQL query optimization and advanced indexing strategies
6 GitHub stars
Multi-model schema design including graph, document, and key-value patterns
Security implementation via Row-Level Security (RLS) and RBAC
TDD-based database integration patterns for various SDKs (Rust, JS, Python)

Use Cases

Building scalable real-time applications with live query subscriptions
Implementing secure, multi-tenant SaaS backends using strict schema permissions
Architecting complex graph databases with bidirectional relationships and traversals

About

Key Features

Real-time live query integration for reactive applications
SurrealQL query optimization and advanced indexing strategies
6 GitHub stars
Multi-model schema design including graph, document, and key-value patterns
Security implementation via Row-Level Security (RLS) and RBAC
TDD-based database integration patterns for various SDKs (Rust, JS, Python)

Use Cases

Building scalable real-time applications with live query subscriptions
Implementing secure, multi-tenant SaaS backends using strict schema permissions
Architecting complex graph databases with bidirectional relationships and traversals