SkillsAdd

smithery/neversight

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".

Installation

$ npx skills add smithery/neversight --skill learning-spaced-repetition
View on skills.sh ↗ Website ↗

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Also in this package

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npx skills add smithery/neversight
zoom-meeting 0 ziwei-doushu 0 zimage-skill 0 zig 0 zhimeng-agent 0 zfc 0 zenbin 0 zeberg-salomon-rotator 0 zdev 0 youtube-transcript 0

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 803 B
  • docs SUMMARY.md 281 B

History

  1. First recorded snapshot · 0 installs

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