Flashcard Drill Maker

The problem

Static notes and raw data often fail to translate into long-term retention. Developers and students struggle to maintain the discipline of spaced repetition without a system to track mastery and schedule reviews.

What it does

• Generates structured flashcards from raw question and answer pairs with automated CSV validation.
• Implements a modified SM-2 algorithm to dynamically schedule card reviews based on user performance.
• Tracks card-level mastery using repetition counts, lapse history, and interval growth.
• Exports drill sets to Anki-compatible tab-separated formats for mobile study.
• Provides a real-time dashboard for progress monitoring, including per-tag accuracy and due dates.

Frameworks & tools

Python csv and difflib modules, SM-2 algorithm, JSON for state persistence, and Anki for mobile sync.

Why this beats prompting it yourself

Manual prompts often lack the stateful memory required for true spaced repetition. This skill provides a consistent mathematical logic for scheduling intervals and ease factors, ensuring you do not waste time on mastered cards while focusing on what you are about to forget.

Use cases

• Convert technical documentation or API references into active recall drills.
• Pre-calculate review schedules for certification exam preparation.
• Manage local learning state files for long-term knowledge retention without a cloud subscription.
• Prepare bulk-formatted data for high-volume Anki deck imports.

Known limitations

Not suitable for complex multi-part questions; requires atomic facts. Back of cards must be under 500 characters to maintain recall efficiency.