Expert SurrealDB 3 skill for AI coding agents (Claude, Codex, Amp, Gemini CLI, Copilot, Cursor). SurrealQL, multi-model data modeling, graph queries, vector search, WASM extensions, and full ecosystem.
Skill Claude CodeCodex
Expert SurrealDB 3 skill. Use when working with SurrealDB, SurrealQL queries, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, graph traversal, vector search, security and permissions, deployment and operations, performance tuning, SDK integration, Surrealism WASM…
Skill Claude CodeCodex
Expert SurrealDB 3 architect and developer skill (tracks v3.1.4+). SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, security, deployment, performance tuning, SDK integration (JS, Python, Go, Rust, Java, .NET, C, PHP, Swift, Kotlin, Ruby), Surrealism WASM…
Skill Claude CodeCodex
Data migration and synchronization to SurrealDB from MongoDB, PostgreSQL, MySQL, Neo4j, Kafka, and JSONL. Full and incremental CDC sync. Part of the surreal-skills collection.
Skill Claude CodeCodex
SurrealFS virtual filesystem for AI agents. Rust core + Python agent (Pydantic AI). Persistent file operations backed by SurrealDB. Part of the surreal-skills collection.
Skill Claude CodeCodex
SurrealDB Surrealism WASM extension development. Write Rust functions, compile to WASM, deploy as database modules. Part of the surreal-skills collection.
Skill Claude CodeCodex
SurrealKit schema sync, rollout migrations, seeding, and declarative testing for SurrealDB apps. Part of the surreal-skills collection.
Skill Claude CodeCodex
SurrealDB MCP for AI agents: built-in server (SurrealDB 3.1+ surreal mcp) and standalone surrealmcp (surrealdb/surrealmcp v0.4.0). Part of the surreal-skills collection.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: