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learning-spaced-repetition

3.7

by majiayu000

72Favorites
108Upvotes
0Downvotes

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".

education

3.7

Rating

0

Installs

Tools & Utilities

Category

Quick Review

The skill provides a clear conceptual overview of spaced repetition systems with good structural organization and mentions key algorithms (Leitner, SM-2). However, it lacks implementation details necessary for a CLI agent to actually execute the skill - no concrete algorithms, interval calculations, performance tracking logic, or data format specifications are provided. The description covers what the skill does but not how to do it. Novelty is moderate since implementing SM-2 or Leitner systems requires specific mathematical formulas and state management that would consume significant tokens for a CLI agent to derive independently, though the core concepts are well-established. The skill would benefit from actual algorithm implementations, example flashcard formats, and detailed scheduling logic.

LLM Signals

Description coverage5
Task knowledge3
Structure6
Novelty4

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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Publisher

majiayu000 avatar
majiayu000

Skill Author

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