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anki-card-makerlisted

Extract key knowledge from study materials (text, Markdown, notes) and generate front-question + back-answer flashcards, producing an Anki-compatible CSV file ready for import. Trigger when users mention flashcards, Anki, spaced repetition, need to convert notes into Q&A pairs, or request memory cards or review cards from their study content.
serejaris/kimi-skills · ★ 6 · Data & Documents · score 76
Install: claude install-skill serejaris/kimi-skills
# anki-card-maker Automatically extracts knowledge points from study materials and generates flashcards in "front question + back answer" format, outputting a CSV file ready for direct import into [Anki](https://apps.ankiweb.net/). Two working modes are supported: - **auto mode**: Rule-based extraction of definitions, Q&A pairs, lists, and other structured knowledge from Markdown/plain text - **json mode**: Accepts pre-constructed JSON flashcard data and formats it as Anki CSV ## Quick Start ```bash # Auto-extract flashcards from Markdown notes python scripts/generate_flashcards.py --input notes.md --output flashcards.csv # Generate Anki CSV from JSON data (ideal for agent calls) python scripts/generate_flashcards.py --mode json --input cards.json --output flashcards.csv # Use via stdin/stdout cat notes.md | python scripts/generate_flashcards.py > flashcards.csv ``` ## Agent Workflow When a user provides study materials and requests flashcard generation, the recommended workflow is: 1. **Read the material**: Read the study material file provided by the user 2. **Intelligent extraction**: Analyze the material content, extract core knowledge points, and generate high-quality Q&A pairs. Follow these principles: - Each card focuses on a single knowledge point (minimum information principle) - Use precise question format on the front; avoid vague questions - Provide concise but complete answers on the back - Cover core concepts, definitions, formulas, cause-an