What problem does it solve? When you need to find a specific document in your personal resources knowledge base and the automatic per-prompt retrieval missed it, this Skill lets you manually search the qmd index with deeper queries, different phrasings, and hybrid semantic-plus-keyword retrieval. ## Core Features & Use Cases - Multi-mode qmd access: Queries the qmd index over a local binary, an HTTP daemon, or an SSH bridge depending on your plugin configuration. - Authored hybrid queries: Builds typed lexical and vector search arms so rare content words drive BM25 matching while full sentences drive semantic ranking. - Chunk-level results: Returns matching chunks with line numbers and context headers, mapping qmd:// URIs back to absolute file paths for full-document reads. - Use Case: You remember saving research about a coffee varietal but the automatic retrieval surfaced nothing. Ask to search your resources, and the Skill runs a hybrid qmd query, locates the right chunk, and reads the full document before answering. ## Quick Start Ask the assistant to search your resources knowledge base for the research you saved about a specific topic. ## Quick Start Tell the assistant to search your resources for the document you need, for example by asking it to find your saved research about a particular subject.
