scbe-world-anvil-lore-rag-7th-tongue

To build a local lore index from World Anvil exports, this Skill converts your exports and SCBE docs into a local SQLite-based FTS index with a documents and chunks schema. This creates a citation-grounded knowledge base ready for accurate retrieval.

Deterministic cross-agent handoff works by packetizing cross-talk instructions and audit trails for multiple AI agents like Claude and Codex. This enforces canon consistency by propagating citations and coordinating queries across agents without ambiguity.

Yes, you can sync World Anvil data exports to keep the local lore index up-to-date. This live-sync functionality ensures your SQLite FTS index remains current and immediately ready for accurate retrieval and citation-grounded queries.

This lore RAG system requires the pywaclient dependency to function. It uses a local SQLite-based FTS index internally to manage the documents and chunks schema, meaning no external database server is needed for operation.

The best way to query worldbuilding canon across multiple AI agents is by using a local citation-grounded lore index. This Skill supports canon coordination tasks by emitting cross-talk packets for deterministic Claude and Codex handoffs.

A local SQLite FTS index is not suited for distributed team environments requiring concurrent multi-user write access. It is designed for local citation-grounded retrieval and deterministic cross-agent handoffs rather than scalable cloud-based lore collaboration.