Agent skill · security · nousresearch

memento-flashcards

Spaced-repetition flashcards: create, review, quiz, export.

Why this skill is useful

Adds domain-specific commands for managing flashcards and quizzes that the AI wouldn't generate on its own.

What it needs

Requires python installed locally. About 8k tokens when loaded. Last updated 2026-08-07. 226,679 stars on the source repository.

What this skill does

Memento Flashcards — Spaced-Repetition Flashcard Skill Overview Memento gives you a local, file-based flashcard system with spaced-repetition scheduling. Users can chat with their flashcards by answering in free text and having the agent grade the response before scheduling the next review. Use it whenever the user wants to: Remember a fact — turn any statement into a Q/A flashcard Study with spaced repetition — review due cards with adaptive intervals and agent-graded free-text answers Quiz from a YouTube video — fetch a transcript and generate a 5-question quiz Manage decks — organise cards into collections, export/import CSV All card data lives in a single JSON file. No external API keys are required — you (the agent) generate flashcard content and quiz questions directly. User-facing response style for Memento Flashcards: Use plain text only. Do not use Markdown formatting in replies to the user. Keep review and quiz feedback brief and neutral. Avoid extra praise, pep, or long explanations. When to Use Use this skill when the user wants to: Save facts as flashcards for later review Review due cards with spaced repetition Generate a quiz from a YouTube video transcript Import, export, inspect, or delete flashcard data Do not use this skill for general Q&A, coding help, or non-memory tasks. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills nousresearch/memento-flashcards

View the source on GitHub

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