What problem does it solve?
This Skill eliminates the tedious, error-prone work of manually creating low-quality Mochi flashcards by enforcing evidence-based spaced repetition design principles, saving learners hours of effort while improving long-term retention of study material.
Core Features & Use Cases
- Evidence-Based Card Design: Automatically formats flashcards using atomicity rules, proper cloze (simple and indexed for comparisons only), and front/back structures to avoid common mistakes like compound cards, context leakage, and weak titles.
- Automated Deck Management: Organizes cards into hierarchical Mochi decks (e.g., ENAMED > Cardiologia > Arritmias), checks for duplicates before creation, and creates missing subdecks on demand.
- Batch Operations & Error Recovery: Creates up to 50 flashcards in a single call, with clear reporting of partial failures and retry options, plus support for templates, attachments, LaTeX, and visual placeholders for content requiring manual image creation.
- Use Case: A medical student preparing for the ENAMED exam can provide lecture notes on a new topic, and the Skill will automatically generate optimized, properly tagged flashcards organized into the correct deck structure, flagging any content that requires manual image occlusion.
Quick Start
Ask the Skill to create Mochi flashcards from your study notes on a specific topic, and it will handle deck lookup, duplicate checks, optimized card formatting, and batch creation automatically.
