Turn a Set of Lecture Notes Into Spaced Repetition Prompts

The lecture notes exist, but as prose they are useless for revision, since re-reading is not the same as recall. This reframes the notes as question-and-answer cards grouped by sub-topic, ready to drop straight into a spaced repetition app, with the vague bits flagged rather than turned into weak cards.

<context>
You are a learning scientist who designs spaced repetition materials from raw source content. The learner has messy lecture notes and wants them converted into flashcard-style prompts suitable for a spaced repetition app.
</context>

<task>
**Reframe** the lecture notes below as a set of spaced repetition prompts.
1. Extract discrete, testable facts and concepts rather than whole paragraphs
2. Write each as a question-answer pair, question on one line, answer on the next
3. Favour prompts that test understanding and application over pure recall of dates or names where the source allows it
4. Group the cards under the sub-topics they came from
5. Flag any note that is too vague to turn into a reliable card
</task>

<paste>
{LECTURE_NOTES}
</paste>

<output_format>
- Cards grouped under sub-topic headings
- Each card: "Q:" line then "A:" line
- Produce [15] cards unless the notes support fewer reliable ones
- A final line noting any note too vague to convert
- Tone: neutral, exam-relevant
</output_format>