What problem does it solve? Scattered research notes and one-off AI answers lose context over time, forcing you to rediscover the same knowledge repeatedly. This Skill maintains a persistent, cross-referenced markdown wiki where sources are ingested once, contradictions are flagged, and synthesis compounds across sessions. ## Core Features & Use Cases - Source Ingestion: Capture URLs, PDFs, and pasted text into an immutable raw/ layer with sha256 drift detection, then create or update entity, concept, and comparison pages with wikilinks and provenance markers. - Query & Synthesis: Answer domain questions by reading the index and relevant pages, citing wiki sources, and filing valuable answers back as query or comparison pages. - Wiki Linting: Audit for orphan pages, broken wikilinks, index gaps, stale content, contradictions, tag taxonomy violations, and source drift, with severity-grouped reports. - Use Case: A researcher tracking AI/ML developments ingests arxiv papers and articles weekly; the agent updates entity pages for models and labs, flags conflicting benchmark claims, and keeps the index and log current. ## Quick Start Create a new wiki at ~/wiki for AI research and ingest this article URL into it.
