From grimoire
Builds optimized flashcard decks using spaced repetition (SM-2 algorithm). Use when a learner needs long-term retention of vocabulary, grammar, or phrases.
How this skill is triggered — by the user, by Claude, or both
Slash command
/grimoire:design-spaced-repetition-deckThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Construct a flashcard deck with optimal card design, scheduling intervals, and content structure to maximize long-term retention with minimum review time.
Construct a flashcard deck with optimal card design, scheduling intervals, and content structure to maximize long-term retention with minimum review time.
Adopted by: Medical schools (Anki dominates USMLE prep), language programs at Duolingo, Babbel, and Pimsleur; military language training at DLI Impact: Ebbinghaus forgetting curve research shows spaced review reduces required repetitions by 50–70% vs. massed practice; SM-2 algorithm users retain 90%+ of material at 6-month intervals with 10–20 minutes daily review Why best: Spaced repetition exploits the spacing effect — memories consolidated during retrieval practice are stronger than those from re-reading; the algorithm surfaces cards just before forgetting occurs
Sources: Ebbinghaus (1885) forgetting curve; Leitner (1972) box system; Wozniak (1987) SM-2 algorithm implemented in Anki
npx claudepluginhub jeffreytse/grimoire --plugin grimoireDesigns spaced repetition schedules and flashcard systems to maximize long-term retention of facts, concepts, or procedures. Based on Ebbinghaus forgetting curve and SM-2 algorithm.
Generates and drills flashcards using Leitner-style spaced repetition. Builds cards from outlines, notes, or casebooks; tracks progress per subject.
Creates evidence-based learning plans using spaced repetition, retrieval practice, interleaving, and elaboration. Guides goal definition, material breakdown, review scheduling, and progress tracking.