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Nature Figure Prompt Only

Generates image prompts for paper framework diagrams, flowcharts, and mechanism schematics using scientific expression and visual planning methods of Nature-style figures, but does not render images. When no image is provided, it reads the manuscript and generates prompts for new diagrams; when an image is provided, it generates visual improvement prompts while preserving the content. After outputting the prompt, it must stop and wait for confirmation—it does not call Imagegen or OpenRouter, generate Python/R/SVG code, or modify the research methodology. Suitable for back-end comparisons with other prompt skills.

What is Nature Figure Prompt Only?

This skill is designed for researchers and developers who need to generate or improve prompts for scientific figure generation (e.g., framework diagrams, flowcharts, mechanism schematics) following Nature-journal-level scientific expression and visual planning standards. It does not generate actual images, code, or modify research methods—instead, it produces precise, context-aware image prompts. If no existing figure is provided, it reads the manuscript to create prompts for new diagrams. If a figure is provided, it suggests visual improvements while preserving the original content and scientific integrity. The skill strictly halts after outputting a prompt, awaiting user confirmation before any further action. It supports all platforms that accept prompt-only skills (Claude Code, Cursor, Codex, etc.) and is ideal for A/B testing against other prompt-generation skills.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/szzjayson25-hub/nature-academic-skills/tree/main/nature-figure-prompt-only

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What does Nature Figure Prompt Only do?

Generates image prompts for paper framework diagrams, flowcharts, and mechanism schematics using scientific expression and visual planning methods of Nature-style figures, but does not render images. When no image is provided, it reads the manuscript and generates prompts for new diagrams; when an image is provided, it generates visual improvement prompts while preserving the content. After outputting the prompt, it must stop and wait for confirmation—it does not call Imagegen or OpenRouter, generate Python/R/SVG code, or modify the research methodology. Suitable for back-end comparisons with other prompt skills.

Individual skills in this repo

This repo contains 2 individual skills — each has its own dedicated page.

szzjayson25-hub/nature-figure

Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style work, and journal-ready SVG/PDF/TIFF outputs. Use for paper or scientific plots, manuscript data visualization, 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化. Define the conclusion, evidence logic, data integrity, template compatibility, export needs, and reviewer risks before plotting; honor or persist the Python/R backend choice. Also use the separate OpenRouter GPT Image 2 route for explicit AI-generated graphical abstracts, mechanism diagrams, concept schematics, 论文示意图、机制示意图、图形摘要; this route skips backend choice and treats outputs as drafts. Do not use for interactive dashboards, statistics-only analysis, data cleaning, literature review, code debugging, pure photo editing, or Illustrator/Figma-first infographics without manuscript-figure intent.

szzjayson25-hub/nature-image2ppt

Convert slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity object-level editable PowerPoint, including semantic-region mixed reconstruction, measured flowcharts and knowledge graphs, native circle nodes and connectors, single-object thin and filled arrows, speaker-note preservation, and rendered QA. Use for 图片转可编辑PPT、截图还原PPT、扫描PDF恢复、图片型PPTX转换、流程图/知识图谱/复合图形/箭头重建; not for authoring a new deck from notes.

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