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memento-flashcards Skill

AI Agent SkillPythonOpen source

Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV. Published by NousResearch in hermes-agent.

What is memento-flashcards Skill?

Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Data analysis
  • Design and media
  • Documentation use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use memento-flashcards Skill

  • Use it for documentation.
  • Use it for data analysis.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/productivity/memento-flashcards/SKILL.md

What it does

Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.

Skill instructions

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,

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Frequently asked questions

What is memento-flashcards?

memento-flashcards is a open-source AI agent skill with Copy skill directory. Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with.

Who is memento-flashcards best for?

memento-flashcards is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows, design and media workflows.

How do I install memento-flashcards?

Install or run memento-flashcards using Copy skill directory. Check memento-flashcards for the latest setup command.

Is memento-flashcards actively maintained?

memento-flashcards may need a closer maintenance check before production use.

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Last commit
9 days ago
Repository age
1 year
License
MIT

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