Ingest academic paper clippings into an Obsidian wiki by extracting structured knowledge and cross-referencing shared background concepts. Trigger when the user asks to process, digest, organize, or ingest papers from the Clippings/ folder into the wiki. Generates a paper summary page (background, challenges, solution, experiment summary, positioning vs related work) auto-classified into topic subdirectories, creates/updates shared concept pages, and maintains a Dataview-powered metadata table tracking first author, affiliation, year, venue, and topics for all papers.
Health-check and auto-repair the Obsidian wiki. Trigger when the user asks to lint, audit, health-check, or scan the wiki for quality issues. Fixes structural issues: orphan pages with no inbound links, broken wikilinks, missing concept pages for frequently-linked terms, and missing cross-references. Automatically fixes repairable issues and writes a detailed report with diffs to the LintLog/ directory.
Hierarchically answer questions by querying the Obsidian wiki knowledge base. Trigger when the user asks a question about papers, concepts, or relationships stored in the wiki; requests a comparison between papers or methods; asks for a synthesis across multiple pages; or seeks analysis, connections, or summaries of ingested knowledge. Uses a tiered retrieval strategy: semantic overview first, then structured knowledge, then raw sources, then external augmentation as needed.