What problem does it solve?
Academic course content is often scattered across unlinked PDFs, articles, lecture recordings and chat history, making it hard for students and instructors to find consistent, up-to-date information and track how concepts connect to each other.
Core Features & Use Cases
- Automated Source Ingestion: Process diverse course materials (URLs, PDFs, images, voice notes, transcripts) into structured, categorized wiki pages with a single request.
- Interlinked Knowledge Base: Automatically cross-reference related concepts, people, lectures and reference materials so users can navigate connected ideas seamlessly.
- Wiki Health Maintenance: Run periodic lint checks to catch contradictions, stale content, orphan pages and missing cross-references to keep the wiki accurate and usable.
- Use Case: For a semester-long architecture course, drop a new tectonics lecture PDF and a related research article URL, and the skill will automatically create structured pages for both, link them to existing concept and people entries, update the wiki index and log the changes.
Quick Start
Use the wiki skill to ingest the new tectonics lecture PDF and accompanying research article into the course wiki, then run a health check to flag any missing cross-references.