lecture-notetaker

Condense exhaustive university lecture material (notes, transcripts, slide PDFs) into a prioritised, exam-weighted study sheet. Two modes: revision (default) for fast review of already-learned material, and first-pass for learning cold when short on time. Trigger on "cram notes", "revision sheet", "high-yield/condensed study guide", "cut the fluff", "what's examinable", or turning a folder of lecture files into revision material; pick first-pass mode when the user says "first pass", "haven't learned this yet", or "teach me". Not for transcribing a live lecture (use lecture-notetaker) or a flat unprioritised recap (use lecture-condenser).

Generate ADHD-optimized Obsidian markdown study notes from lecture slides and transcripts — short capped chunks, per-section time estimates, static lecture-through percentages, session/break maps, micro-checks, and rotating interaction styles. Same learning techniques as lecture-notetaker-abbr with delivery tuned for sustained attention.

Condense multiple lecture-notetaker .md files from one series into a flat pre-exam priming document of recognisable key points, grouped by lecture and topic. Recognition tool for fast scan before exams — not full learning notes or flashcards.

Fill gaps in a lecture-notetaker .md using the corresponding slide PDF — detect weak explanations, research enhancements, compress to minimum viable insertions, and add cited callouts. Runs end-to-end through all phases with no approval gates once invoked.

Generate Obsidian markdown study notes from lecture slides and transcripts, organized by learning objective, with a hoverable abbreviation glossary. Each slide is embedded via PDF++ with non-redundant transcript content, structured around evidence-based learning techniques (pre-questions, retrieval practice, elaborative interrogation, interleaved self-testing, spaced review).

Generate Obsidian markdown study notes from lecture slides and transcripts, organized by learning objective. Each slide is embedded via PDF++ with non-redundant transcript content, structured around evidence-based learning techniques (pre-questions, retrieval practice, elaborative interrogation, interleaved self-testing, spaced review).