
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.
Expert SurrealDB 3 architect and developer skill. 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, PHP, Swift, Kotlin, Ruby), Surrealism WASM extensions, SurrealML in-database inference, SurrealMCP for AI agent hosts, LangChain integration, editor tooling (LSP, tree-sitter, VS Code/JetBrains/Neovim/Zed), and the wider ecosystem (Surrealist, Surreal-Sync, SurrealFS, SurrealKit, setup-surreal). Universal skill for 30+ AI agents.
SurrealMCP -- Model Context Protocol server for SurrealDB. Lets MCP-compatible LLM hosts (Claude Code/Desktop, Cursor, Codex, OpenCode, Amp, Continue, Windsurf) read and write a SurrealDB instance through a single config entry. Part of the surreal-skills collection.
SurrealKit schema sync, rollout migrations, seeding, and declarative testing for SurrealDB apps. Part of the surreal-skills collection.
SurrealDB Surrealism WASM extension development. Write Rust functions, compile to WASM, deploy as database modules. Part of the surreal-skills collection.
SurrealFS virtual filesystem for AI agents. Rust core + Python agent (Pydantic AI). Persistent file operations backed by SurrealDB. Part of the surreal-skills collection.
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 (JavaScript, Python, Go, Rust, Java, .NET), Surrealism WASM extensions, Surrealist IDE, Surreal-Sync migrations, or SurrealFS.
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structured JSON output, adaptive polling. Universal skill for 30+ AI agents including Claude Code, Amp, Codex, and Gemini CLI.