Man Laoshi: 1-Click SCI Poster
Man Laoshi: 1-Click SCI Poster
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Description
One-click transform any SCI paper into a hand-drawn academic poster! Fully replicates Man Laoshi's signature hand-drawn style — thick black outlines, yellow highlights, and red underlines. Generates standard 90×120 cm vertical posters. The content strictly follows a scientific logic chain: scientific question → previous limitations → innovation → results → data validation. All output is in Chinese, perfect for researchers who want to stand out in academic presentations. Trigger: 'SCI paper hand-drawn poster'.
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This skill is a complete replication of Professor Man's (Professor Man's Research World) 2025 released world-class prompt for 'Multi-dimensional Innovation Assessment of Top Journal SCI Papers'. After entering the paper title, core scientific question, core innovation strategy, and sub-innovation points, it automatically performs deconstruction of six innovation types, literature comparison benchmarking, multi-dimensional scoring (novelty, importance, transcendence, logic), and generates a complete evaluation report including a one-sentence conclusion, radar chart scores, strengths & risks analysis, submission suggestions, and Cover Letter phrasing. Suitable for researchers aiming for top journals such as Nature, Science, Nat. Energy, Joule, Adv. Mater., etc., to accurately diagnose innovation before submission and avoid blind submissions. Trigger words: top journal innovation assessment, SCI innovation evaluation, Professor Man innovation evaluation, Nature
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).
ImageSCI论文图文摘要生成器-慢老师
为SCI论文生成符合Cell Press/Elsevier/ACS/Nature等顶刊标准的专业Graphical Abstract。通过交互式问答收集论文核心信息，优先采用白色/近白背景、顶刊级学术插图、SEM/结构示意融合、真实化分子/材料表达、克制配色与专业箭头系统，自动应用60-30-10色彩铁律、格式塔心理学原则、邮票尺寸测试标准，输出单一面板、去数据化、极致自解释、非卡通化的专业科学图文摘要。
Information
- Version
- v4
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
