memento-flashcards

Create, review, and quiz local flashcards with spaced repetition.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/objval/hermes-agent --skill memento-flashcards
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memento-flashcards
Source: https://github.com/objval/hermes-agent/tree/main/optional-skills/productivity/memento-flashcards
Command: npx skills add https://github.com/objval/hermes-agent --skill memento-flashcards

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Spaced-repetition flashcards run locally to help you memorize facts, definitions, and quiz content without relying on external services or cloud storage.

Core Features & Use Cases

  • Local, file-based flashcards with adaptive review scheduling
  • Free-text user interactions with automatic grading and next-review planning
  • Generate quizzes from YouTube transcripts and manage decks via CSV import/export
  • Manage cards by collection, review due cards, and track progress over time

Quick Start

Create a flashcard from a fact or text, then schedule and review it using the CLI.

Frequently Asked Questions about memento-flashcards

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

FAQPage Schema
How do I create spaced-repetition flashcards locally from my notes?

You can create spaced-repetition flashcards locally by adding facts or text directly through the CLI, which schedules and stores them offline on your machine for adaptive review without external services.

Can I import and export flashcard decks as CSV files?

Yes, you can import and export flashcard decks as CSV files, allowing you to manage collections seamlessly and transfer your spaced-repetition data across different local environments.

How do I generate a quiz from YouTube transcripts for flashcard review?

You can generate quiz flashcards from YouTube transcripts using a dedicated script, which extracts content and schedules it for spaced-repetition review directly within your local system.

Does this local flashcard system require any cloud storage or external dependencies?

No, this local flashcard system relies entirely on the Python standard library and stores data offline in a local JSON file, requiring no cloud storage or external dependencies to function.

What is the best way to review due flashcards and rate my recall accuracy?

The best way to review due flashcards is using the CLI due and rate commands, which support free-text interactions, automatic grading, and adaptive next-review planning based on your recall accuracy.

Are there limitations to using local file-based storage for spaced-repetition flashcards?

Local file-based storage for spaced-repetition flashcards is limited to offline, single-machine access, meaning you cannot sync your decks across multiple devices or collaborate with other users.