shield_lock
JinDaGe
← Back to skills
extension
Category: Development & EngineeringNo API key required

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".

personAuthor: jakexiaohubgithub
open_in_newRepositorydownloadDownload package

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