What problem does it solve? Turning conversations, articles, or code concepts into well-formed spaced-repetition flashcards is tedious and error-prone. This Skill drafts high-quality Anki cards following proven card-design rules and adds them directly to the user's Anki collection through the anki MCP server, with an AnkiConnect HTTP fallback. ## Core Features & Use Cases - Deck and model selection: Lists existing decks and note models, matches fields exactly, and never invents decks silently. - Card quality enforcement: Applies the minimum information principle, one-fact-per-card splitting, self-contained fronts, and proper Basic vs Cloze note type usage with tags. - Batch creation with fallback: Adds notes in batches via MCP tools, or falls back to AnkiConnect on port 8765 when MCP tools are unavailable, reporting duplicates and failures. - Use Case: After a study session about Ruby concurrency, ask the agent to ankify the discussion; it drafts GVL question-answer cards, shows them for review, and adds them to your Programming deck with tags. ## Quick Start Ask the agent to create Anki flashcards from the current conversation and add them to your chosen deck.