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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 converting images to editable PPT, restoring screenshots to PPT, recovering scanned PDFs, converting image-only PPTX, and reconstructing flowcharts/knowledge graphs/composite shapes/arrows; not for authoring a new deck from notes.

What is nature-image2ppt?

This skill, named `szzjayson25-hub/nature-image2ppt`, converts slide images, screenshots, scanned PDFs, and image-only PPT/PPTX files into high-fidelity, object-level editable PowerPoint presentations. It excels at preserving complex visual elements such as mixed semantic regions, meticulously measured flowcharts and knowledge graphs, native circle nodes and connectors, as well as single-object thin and filled arrows. Additionally, it retains speaker notes and can process rendered QA content. The skill is designed for scenarios like transforming images into editable PPT, restoring screenshots as PPT, recovering scanned PDFs, converting image-only PPTX, and reconstructing flowcharts, knowledge graphs, composite graphics, and arrows. It is not intended for authoring a new deck from raw notes. It likely runs as a command-line or API-based tool within developer environments, supporting platforms like Claude Code, Cursor, or Codex.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/szzjayson25-hub/nature-academic-skills/tree/main/nature-image2ppt
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Documentation

What does nature-image2ppt do?

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 converting images to editable PPT, restoring screenshots to PPT, recovering scanned PDFs, converting image-only PPTX, and reconstructing flowcharts/knowledge graphs/composite shapes/arrows; not for authoring a new deck from notes.

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-figure-prompt-only

为论文框架图、流程图、机制示意图生成生图 Prompt，采用 nature-figure 的科学表达与视觉规划方法，但不执行绘图。无图时读稿生成新图提示词，有图时在保持内容的前提下生成视觉改进提示词。输出 Prompt 后必须停止等待确认；不调用 Imagegen、OpenRouter，不生成 Python/R/SVG 代码，不修改研究方法。适合与其他提示词 Skill 做同后端对比。

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