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

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". Source: pauljbernard/content.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/pauljbernard/content --skill learning-spaced-repetition Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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