What problem does it solve? Knowledge scattered across URLs, PDFs, and notes gets lost or re-derived on every query. This Skill maintains an incremental markdown wiki where every source is absorbed into cross-linked pages, contradictions are surfaced, and answers cite their sources. ## Core Features & Use Cases - Ingest: Fetch a URL or convert a local PDF/markdown file into .red/wiki/raw/, then write source, entity, and concept pages with cross-references and an updated index. - Query: Answer free-form questions by mapping the index, drilling into pages, and synthesizing cited answers as prose, tables, or Mermaid diagrams, optionally filed back as synthesis pages. - Lint: Run health checks for contradictions, stale pages, orphans, stubs, missing concepts, unresolved gaps, and C4 diagram staleness, producing a grouped markdown report. - Use Case: After reading a long architecture article, ask the agent to ingest it into the wiki; it saves the raw source, updates entity pages, flags a contradiction with an older page, and logs the operation. ## Quick Start Ask the agent to ingest a URL into the wiki, for example: ingest https://example.com/architecture-overview into the wiki and highlight the main takeaways.