spaced-repetition-teaching

The FSRS-6 algorithm calculates optimal spaced repetition intervals by analyzing your recall performance on flashcards. It schedules reviews at the most opportune moments to maximize long-term memory retention without manual interval tracking.

You add new flashcards by creating Markdown files with structured metadata for prompts, answers, and review strategies. Python scripts then process these files to integrate the new cards into your active FSRS review schedule.

Yes, the system supports multi-modal review modes including interrogation and application. You can structure Markdown flashcards with specific review strategies that go beyond simple recall to test deeper understanding and application of the material.

You analyze memory retention by running the Skill's Python scripts, which process FSRS parameters and review history stored in Markdown files. This generates retention analysis outputs that help you identify difficult concepts and optimize your study schedule.

Yes, Markdown files are the primary format for storing flashcard data. The Skill uses specific metadata fields within Markdown files to organize prompts, answers, and FSRS parameters, enabling Python scripts to manage card reviews and retention analysis.