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Claude-skill-registry 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".

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/learning-spaced-repetition" ~/.claude/skills/majiayu000-claude-skill-registry-learning-spaced-repetition && rm -rf "$T"
manifest: skills/data/learning-spaced-repetition/SKILL.md
tags
#memory-optimization#flashcards#spaced-repetition#learning-algorithms#retention-training
source content

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