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anki architect pro
by Jiangdongbo
Convert unstructured notes into atomic Anki flashcards with automated Cloze deletion and image prompt generation.
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See it in action
You say
Turn these notes into 2 cards: The mitochondria is the powerhouse of the cell. It generates ATP through oxidative phosphorylation.
Your agent does
{ "deck": "Cell Biology", "target_count": 2, "data": [ { "type": "cloze", "text": "The {{c1::mitochondria}} is the powerhouse of the cell.", "tags": ["biology", "cell-structure"] }, { "type": "basic", "front": "How does the mitochondria generate ATP?", "back": "Through oxidative phosphorylation.", "tags": ["biology", "metabolism"], "image_prompt": "A detailed 3D diagram of a mitochondrion showing the inner membrane and ATP synthase, clean educational illustration, blue and orange palette, high quality." } ] }
[TSV_EXPORT] The {{c1::mitochondria}} is the powerhouse of the cell. mitochondria biology,cell-structure How does the mitochondria generate ATP? Through oxidative phosphorylation. biology,metabolism [Image Prompt: A detailed 3D diagram of a mitochondrion showing the inner membrane and ATP synthase, clean educational illustration, blue and orange palette, high quality.] [/TSV_EXPORT]
What you get
About this skill
The problem
Manually creating high-quality Anki cards from dense study notes is time-consuming and prone to poor card design. Most users create "leech" cards that are too wordy, lack atomicity, or miss visual cues necessary for complex spatial concepts.
What it does
- Extracts atomic knowledge units from unstructured text to ensure each card tests exactly one concept.
- Automatically selects between Basic and Cloze deletion formats based on the source material structure.
- Generates descriptive English image prompts for spatial or structural concepts to be used with image generation tools.
- Produces dual-format output: a structured JSON object for programmatic use and a TSV block for direct Anki importing.
- Preserves source language for card content while maintaining English for metadata and logic.
Why this beats prompting it yourself
This skill enforces strict atomicity and formatting rules that generic prompts often ignore. It includes a built-in protocol for determining visual necessity, preventing the creation of useless image prompts for simple text definitions.
Use cases
- Converting lecture transcripts into a structured study deck.
- Transforming technical documentation into a series of Cloze deletion cards for syntax memorization.
- Creating flashcards for medical or engineering diagrams with specific visual prompts.
- Generating multilingual study materials while keeping backend data structures consistent.
Known limitations
Does not generate the actual image files directly; it provides the prompt for an external tool. It is restricted to the information provided in the input text to prevent hallucinations.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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26+ total installs · 26 skills on Agensi
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