What problem does it solve?
Converts raw notes, textbook excerpts, and topics into study materials that follow spaced repetition principles to reduce forgetting and make review efficient. The Skill enforces minimum-information card design and Wozniak-inspired rules so generated cards are atomic, reviewable, and effective for long-term retention.
Core Features & Use Cases
- Card generation: Produce Basic Q→A, Cloze, Reversed, Application, and Image Occlusion cards from prose, lists, and diagrams while applying the minimum information principle.
- Card formulation rules: Apply Wozniak-style heuristics (minimum information, cloze defaults, avoid enumerations, add disambiguating context) to split and sanitize candidate cards.
- Scheduling & export: Compute SM-2 scheduling fields (n, EF, I, due), persist per-card state locally, and export decks as apkg files using genanki-compatible packages with media handling.
- Interactive output: Build a React + Vite single-page web app with two modes: a Flashcard Review mode (flip, SM-2 grading, queue persistence, session stats) and an AI Quiz mode (generate, grade, and explain quiz questions).
- Practical uses: Turn lecture notes into daily study queues, generate practice exams from a chapter for focused revision, or export anapkg for Anki import and offline review.
- Limitations: Write-only apkg export only; no AnkiWeb sync and specialized domain facts should be verified for accuracy.
Quick Start
Generate an Anki-ready deck from these notes, favor cloze deletions for prose, split complex facts into atomic cards, schedule with SM-2, and export the result as an apkg.