lambda-maplisted

# λambda map builder (schema: 1) The map is what separates λambda from a generic AI tutor: every MCQ a session asks traces to a real assessed problem and the marks it carries. This skill builds that map from the learner's **own** course materials — the map derives from their institution's copyrighted content, so it lives in their private vault and is never redistributed. ## Usage `/lambda-map <course-name> <path> [more paths...]` Paths may be folders or files: lecture PDFs, tutorial/problem-set PDFs, past exam papers, quiz exports, notebooks, **lecture transcripts** (`.txt`/`.md`/`.vtt` dumps of what was actually said). Transcripts are an emphasis signal, not a question source: past papers show what an earlier offering examined, but the transcript shows what *this* offering's lecturer stressed, skipped, or hinted at ("this will be on the exam", "we won't cover the proof"). When transcripts are present, weight the map's marks-bound routing toward the current offering's emphasis and note explicit verbal exam hints in the relevant map rows. File transcripts in the `## Sources` ledger like any other input. ## Sparse sources (school-shaped courses) Not every course arrives university-shaped. A school student may have only a scope & sequence, a textbook, and a couple of practice tests — no outline, no tutorial sets, no marks schedule. The map builds anyway, by substitution: - **Scope & sequence / syllabus → units.** Its rows become the map's `##` sections; the textbook's