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Generate open-ended quiz questions from facts in a specific deck (or all facts). Read-only — does NOT update SM-2 state or review-log.
Passed 6 of 17 test cases with the skill, and 3 of 17 without it.
and 2 more in the full report
4 fixed4 passed either way14 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Solicitei um teste sobre o deck chamado kubernetes, mas não existe nenhum arquivo para este deck específico em workspace/learning/facts/.
| Checked | Without skill | With skill |
|---|---|---|
| Informs the user that no facts exist for the specified deck name | Passed | Passed |
| Suggests checking the deck name or viewing active decks | Missed | Passed |
The instructions your model reads when the skill loads.
Generates open-ended practice questions from facts in workspace/learning/facts/. This is a read-only exercise — no frontmatter is modified, no log entries are written.
User wants to practice recall without formally reviewing (e.g., "me teste sobre claude-skills", "/learn-quiz", "quiz geral").
Parse the user's request for a deck name:
/learn-quiz {deck-name} → filter facts where deck == deck-name/learn-quiz (no argument) → use all facts in workspace/learning/facts/If no facts are found for the specified deck:
"Nenhum fato encontrado no deck '{deck}'. Verifique o nome do deck ou use /learn-stats para ver os decks ativos."
If workspace/learning/facts/ is empty or doesn't exist:
"Nenhum fato encontrado. Use /learn-capture para adicionar fatos primeiro."
From the matching facts, select up to 5 to quiz on. Prefer:
next_review)For each selected fact, generate one open-ended question derived from the Retrieval Q field. You may rephrase the original question slightly for variety, but the answer must still be the Fact content.
Rules for questions:
For each question (up to 5):
test cases passed, vs 3 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.