Agent skill
learning-spaced-repetition
Design spaced repetition schedules, flashcard systems, and retrieval practice using algorithms like Leitner or SM-2 for long-term retention. Use for memory optimization. Activates on "spaced repetition", "flashcards", "retention", or "Anki-style".
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Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/learning-spaced-repetition
SKILL.md
Learning Spaced Repetition
Optimize long-term retention through scientifically-spaced review schedules.
When to Use: Language learning, medical education, factual knowledge, certification prep
Algorithms: Leitner system, SM-2, adaptive intervals based on performance
CLI: /learning.spaced-repetition --content "vocabulary-list.csv" --algorithm "SM-2"
Output: Flashcard decks, review schedules, retention predictions
Exit Codes: 0=success, 1=invalid algorithm, 2=insufficient content
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