memento-flashcards

Manage local spaced-repetition flashcards with adaptive review scheduling.

Updated May 4, 2026
One-click install
npx skills add https://github.com/InverterNetwork/hermes-agent --skill memento-flashcards-inverternetwork
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memento-flashcards
Source: https://github.com/InverterNetwork/hermes-agent/tree/main/optional-skills/productivity/memento-flashcards
Command: npx skills add https://github.com/InverterNetwork/hermes-agent --skill memento-flashcards-inverternetwork

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires youtube-transcript-api, and includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of information retention by providing a local, automated spaced-repetition system that turns facts and video content into structured study sessions.

Core Features & Use Cases

  • Spaced Repetition: Automatically schedules reviews for your cards based on your performance, ensuring you study what you need, when you need it.
  • YouTube Quiz Generation: Instantly converts YouTube video transcripts into interactive 5-question quizzes to test your comprehension.
  • Flexible Management: Easily import or export your entire deck as CSV files and organize your knowledge into custom collections.

Quick Start

Ask the agent to remember a specific fact or provide a YouTube URL to generate a quiz and begin your study session.

Frequently Asked Questions about memento-flashcards

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate quiz flashcards from a YouTube video transcript?

To generate quiz flashcards from a YouTube video, provide the video URL to the agent. It uses the youtube-transcript-api dependency to fetch the transcript and automatically creates an interactive 5-question quiz for comprehension testing.

Can I create spaced repetition flashcards from my own factual statements?

Yes, you can create spaced repetition flashcards from factual statements. Simply ask the agent to remember a specific fact, and it will convert that statement into structured Q/A pairs for your active recall study sessions.

Do I need a standard Python environment to run this spaced repetition system?

Yes, a standard Python environment is required to run this spaced repetition system. Additionally, the optional youtube-transcript-api package must be installed if you want to process video transcripts for automated quiz generation.

How can I import and export my flashcard decks for flexible management?

You can import and export your entire flashcard deck as CSV files. This flexible management feature allows you to organize your knowledge into custom collections and transfer your structured study data externally.

How does adaptive review scheduling work for long-term knowledge retention?

Adaptive review scheduling automatically times your flashcard reviews based on past performance. This spaced repetition mechanism ensures you study specific cards precisely when needed to maximize long-term knowledge retention.

Are there limitations when processing YouTube transcripts into flashcards?

Processing YouTube transcripts into flashcards depends on the availability of video captions via the youtube-transcript-api. Videos lacking accessible transcript data cannot be converted into automated quizzes for your study sessions.