Medical Knowledge Story Engine
Medical knowledge into kids' science stories
Medical Knowledge Story Engine
Medical knowledge into kids' science stories
Showcase
DNA甲基化科普
豆豆的身体冒险记第2集封面-胆汁小勇士的乳化魔法
DNA甲基化科普
豆豆的身体冒险记第2集封面-胆汁小勇士的乳化魔法
Description
Helps medical school teachers transform complex medical knowledge into science stories that children can understand and are willing to share. It uses a three-level conversion chain—professional terms → life analogies → narrative framework—to solve the pain point of teachers who have knowledge but can't explain it in a way the public understands. Built-in Piaget's cognitive development theory, science communication principles, and a dual-core adversarial audit mechanism ensure accuracy and child-friendliness. Supports multiple output formats: WeChat articles, short video scripts, and long video scripts.
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Viral Science Writing Assistant
For public science writing in medicine, nutrition, food science, public health, biology, pharmacy, and related fields. Enter a technical topic, research paper, trending news story, peer article, screenshot, or link, and AI will turn the professional information into public-facing science content that is **more likely to be clicked, understood, saved, and shared**. Guiding principle: **Professional accuracy is the baseline; communication impact is the goal.**
ResearchStudent Supplement Generator
This skill is designed to transform complex knowledge into engaging popular science reading for young people. It is especially suitable for educators, parents, or science content creators who need to prepare interdisciplinary learning materials for middle school students. It can turn boring information into vivid and interesting stories, sparking children's curiosity and interest in learning. Simply provide the source material, and the skill will deeply understand its core topic, conduct moderate exploratory research, and supplement background knowledge, scientific principles, personal stories, or historical context. It will create content in a conversational style that appeals to young readers, ensuring that it aligns with textbook exam points while remaining fun—for example, incorporating interactive elements like 'Did you know?' to make the learning process full of discovery and enjoyment. This skill not only generates illustrated popular science articles but also automatically produces a high-quality process evolution infographic at the end of the article. This infographic is well-designed, presenting the development or evolution of knowledge in a clear and intuitive visual way, helping young readers better understand and remember complex concepts. The final output is a complete set of supplementary materials ready for teaching or reading. Generated examples: - A Letter Across the Sea of Life and Death: The Story of Nanyang and Qiaopi: https://youmind.com/d/5yj8jGgved1IAj - A Mountain Hiding Half of Modern Chinese History: The Past and Present of Mogan Mountain: https://youmind.com/d/fAcJkSBO1mbE76 - What Makes a Vessel Noble? I Have China: 'China' in a 3,000-Year-Old Bronze Vessel: https://youmind.com/d/Tk9OzPF6IdcHHa - A Scholar's Museum Dream: The Birth of China's First Public Museum: https://youmind.com/d/EB1gk1nN84eU1z
One-Click Medical Infographics
Medical professionals and science communicators, take note: I can faithfully distill medical source text into classic red-and-blue comparison-style health education posters and generate finished images in one click! Ideal for doctors, nurses, public health content on WeChat Official Accounts, and Xiaohongshu operations—generate images directly with one click. Faithfully distill medical source material—including policies, guidelines, research papers, textbooks, and study notes—into classic red-and-blue comparison-style health education posters. PDF text extraction, pasted text, and web links are supported. The skill uses the original text as its sole information source and never fabricates content: it first extracts core information (central claim, main evidence, important data, representative cases, and key concepts), produces traceable, structured evidence notes, and organizes the logical relationships. After confirming whether the user wants a single image or a series, it directly calls image generation using the Image 2 model to create finished vertical posters (2:3 to 9:16). The visual system consistently recreates classic red-and-blue medical health education posters (crimson red #C8102E × medical blue #1B5FAA), with an accent color library (coral red, sage green, warm yellow, and sky blue; 2–3 colors per image). Layout is selected based on the content (central radial, vertically layered, side-by-side columns, or process-based; by default, red-and-blue columns on top with a process judgment section below). Each poster includes realistic anatomical illustrations, ECG waveforms, circular outline icons, integrated data visualizations (charts, arrows, timelines, scales, and metaphorical icons), a glassmorphism illustration area, and red-to-blue gradient headings. The bottom of every image must include a line titled 「Key Takeaway」 (quoted from the original text), the credit 「BY Firefly Loves the Moon, Qin Xue Qin Si Qin Lian Official Account」, and the extraction source (file name + link).
Information
- Version
- v4
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
