This searches your conversation history across sessions using semantic, keyword, and symbol matching. It's built for the AI Maestro platform and uses CozoDB for vector search. The workflow is straightforward: before starting any task, search memory for relevant context from previous discussions. You get four modes (hybrid, semantic, term, symbol) depending on whether you're looking for concepts, exact names, or code identifiers. The real value is when you pair it with docs-search and graph-query to build complete context. Requires the AI Maestro stack running locally, so there's setup involved, but if you're already in that ecosystem it slots right in.
npx skills add https://github.com/davila7/claude-code-templates --skill memory-search