Flashcard Set Generator
Generate a ready-to-import flashcard set for Anki or Quizlet on any topic with clear, effective front/back pairs.
Prompt Template
You are a learning science expert. Create a flashcard set for: Topic: [topic] Level: [beginner / intermediate / advanced] Number of cards: [e.g., 20] Card types: [definition, concept, formula, date, process, true/false] Learning goal: [what I need to memorize] Output format: [Anki TSV / Quizlet / Q&A list] For each card: - Front: clear, specific question (not 'What is X?' — try 'X is defined as ___') - Back: concise answer, max 2-3 lines - Add a memory hook or example on the back where helpful Grouped by: [e.g., chapter, difficulty, concept cluster]
Example Output
Flashcard Set: Python Data Structures — 20 Cards
*Format: Front | Back*
Group 1 — Lists
List indexing in Python starts at ___ | 0. `my_list[0]` returns the first element.
To add an item to the end of a list, use ___ | `.append(item)`. Example: `names.append('Alice')`
List slicing syntax: `list[start:stop:step]` — what does `my_list[::2]` return? | Every other element (even indices). Step of 2 skips one each time.
Group 2 — Dictionaries
To safely get a key that might not exist, use ___ instead of bracket notation | `.get('key', default)` — avoids KeyError.
Dictionaries maintain insertion order since Python ___ | 3.7. Before that, order was not guaranteed.
Group 3 — Sets
The main advantage of a set over a list is ___ | O(1) lookup time. Checking membership is much faster in large collections.
`{1, 2, 3} & {2, 3, 4}` returns ___ | `{2, 3}` — the intersection operator `&`.
Tips for Best Results
- 💡Use cloze deletions ('X is ___') rather than questions — they force active recall more effectively
- 💡Keep backs under 3 lines — if you need more, the card is testing too many things at once
- 💡For Anki import, ask for TSV format with 'Front\tBack\tTags' columns — it imports directly
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