Create Ampi-ready SQLite vaults with FTS5 indexes and semantic tables.
npx skills add https://github.com/wunki/amplify --skill create-vault
Please help me install this Agent Skill. Skill: create-vault Source: https://github.com/wunki/amplify/tree/main/skills/create-vault Command: npx skills add https://github.com/wunki/amplify --skill create-vault
This Skill automates the creation of searchable SQLite databases (vaults) from collections of documents, making information easily retrievable for AI agents.
Use the create-vault skill to build a vault from the documents in the '/path/to/my/docs' folder, naming the entities 'articles' and 'authors'.
High-intent search queries and answers about installing and using this skill.
To create a searchable SQLite database from documents, you ingest files like md, txt, and docx into a vault. The process builds FTS5 indexes and optional sparse semantic tables, enabling keyword and semantic search for AI agents.
Enabling semantic search across research notes involves building an SQLite vault with optional sparse semantic tables. This generates manifest metadata that allows AI agents to quickly retrieve specific information using natural language queries.
Yes, you can build a full text search index from existing SQLite tables. The vault creation process ingests existing tables and generates FTS5 indexes alongside manifest metadata to facilitate keyword retrieval.
The vault creation process supports ingesting Microsoft Word documents. It processes various file types including docx and doc files, adding them to the SQLite database to be indexed for keyword and semantic search.
Supported file formats for document ingestion include md, txt, docx, and doc files. These documents are processed into SQLite vaults to create FTS5 indexes and optional sparse semantic tables for AI agent retrieval.
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