What problem does it solve?
SurrealDB requires precise SurrealQL queries and schema patterns to build robust, scalable data applications. This skill guides you to generate production-ready queries, define schemas (SCHEMAFULL/SCHEMALESS), and implement graph relationships, authentication, transactions, and live queries across document, graph, and relational models.
Core Features & Use Cases
- Generate core SurrealQL statements (SELECT, CREATE, UPDATE, DELETE, RELATE, DEFINE) for multi-model data architectures.
- Model schemas and relationships with SCHEMAFULL/SCHEMALESS definitions, edge tables, and recursive traversals.
- Implement authentication, permissions, and auditing patterns, plus transaction support and real-time LIVE queries.
Quick Start
Create a simple user table, insert a user, and query the user data to validate your SurrealQL setup.