What problem does it solve? University course materials are scattered across slide decks, audio recordings, code notebooks, workbooks, and quizzes, making exam preparation fragmented and incomplete. This Skill consolidates every source into a single, exhaustive, concept-organized Obsidian master note without losing any detail. ## Core Features & Use Cases - Deterministic Source Diffing: Scans course folders recursively and uses SHA-256 hashes to detect only new or modified files, avoiding redundant reprocessing. - Multi-Format Ingestion: Extracts slide text and renders slide images from PDFs, transcribes lecture audio via OmniRoute STT with automatic chunking, and reads code notebooks and markdown workbooks directly. - Map-Reduce Synthesis Pipeline: Classifies source lines into topics with an LLM classifier, builds zero-token topic payloads deterministically, and dispatches sub-agents for lossless topic-by-topic writing into the master note. - Audit & Verification: Rebuilds a complete source record manifest and validates TOC links, code fences, and math delimiters. - Use Case: A data science student with a semester of PDF lectures, recorded classes, R scripts, and quizzes runs the pipeline to produce one definitive, exam-ready Obsidian study guide with citations, formulas, and embedded diagrams. ## Quick Start Compile all materials in my course folder into a unified Obsidian master study note for this course.
