A comprehensive reference for SurrealDB 3 that covers the full stack: SurrealQL queries, multi-model data design (documents, graphs, vectors, time-series), schema introspection, and SDK integration across 12+ languages. Ships with three Python utilities that handle health checks, schema dumps, and agent onboarding. The security model is transparent about network calls (WebSocket to your DB, GitHub API for upstream checks) and file writes (schema exports, optional .env setup). If you're running SurrealDB in production or prototyping something that mixes relational, graph, and vector patterns in one database, this gives you working examples and decision trees without having to synthesize the official docs yourself.
npx skills add https://github.com/24601/surreal-skills --skill surrealdb