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deathcats4/scholar-ppt-cn

15PowerShellAudience · researcherComplexity · 2/5Setup · easy

TLDR

A Codex and ChatGPT skill that converts research papers, figures, and notes into editable PowerPoint slides through a structured planning and layout process, designed for Chinese academic presentations like journal club or research progress reports.

Mindmap

mindmap
  root((scholar-ppt-cn))
    What it does
      Paper to slides
      Chinese academic PPT
      Editable PPTX output
    Workflow
      Production planning table
      Slide layout blueprints
      Image mockup generation
      Quality review step
    Accepted Inputs
      Research papers
      Figures and screenshots
      Hand-drawn mockups
      Reference templates
    Platforms
      Codex local workflow
      ChatGPT environment
    Tech Stack
      PowerShell
      AI image generation
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Code map

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Things people build with this

USE CASE 1

Turn a research paper or thesis into a structured set of editable PowerPoint slides ready for a group meeting or journal club presentation.

USE CASE 2

Generate slide layout blueprints and image mockups for approval before producing the final PPTX file.

USE CASE 3

Use a reference template to keep the visual style consistent with Chinese academic presentation conventions.

USE CASE 4

Convert figures, screenshots, or hand-drawn mockups into properly laid-out presentation slides using Codex or ChatGPT.

Tech stack

PowerShell

Getting it running

Difficulty · easy Time to first run · 30min

Requires Codex or ChatGPT with skill-loading support, PPTX creation works as a local file workflow in Codex and as an export step in ChatGPT.

No license information was mentioned in the explanation.

In plain English

scholar-ppt-cn is a skill for Codex and ChatGPT that turns academic source material into editable PowerPoint presentations. It is designed for Chinese academic presentations, such as group meeting slides for journal clubs or research progress reports. The README is partly in Chinese and partly in English. The skill works through a structured multi-step process. First, it generates a production planning table that maps each planned slide to a narrative section, a source asset (like a figure or screenshot from a paper), the visual layout to use, and the core message that slide should communicate. That table then drives the creation of a mockup family, which is a set of slide layout blueprints with variations. From those blueprints, the skill either uses an image generation model to produce sample pages for approval, or generates an editable PPTX file directly. A final quality review step checks the output before the file is delivered. The skill accepts a range of input types: research papers, theses, reports, figures, notes, reference templates, screenshots, or hand-drawn mockups. The repository includes a five-slide reference PowerPoint template that establishes the visual style for Chinese academic presentations. In Codex environments, the skill treats PPTX creation as a local file workflow, meaning it generates files that can be inspected or previewed locally. In ChatGPT environments, the planning and blueprint stages work the same way, but the final local QA steps are done after exporting the file. Version 3.3.1, the most recent described in the README, added Codex-specific local execution rules, explicit reference template loading, and batched image generation for slide mockups.

Copy-paste prompts

Prompt 1
I have a PDF of a research paper I want to present at a journal club. Use scholar-ppt-cn to create a production planning table mapping each slide to a narrative section and source figure.
Prompt 2
Generate a 10-slide PPTX from my research progress report using scholar-ppt-cn, applying the bundled Chinese academic reference template for layout and style.
Prompt 3
I want to review mockup images of my slides before generating the final PPTX with scholar-ppt-cn. Show me how to trigger the batched image generation step in Codex.
Prompt 4
Help me adapt the scholar-ppt-cn reference PowerPoint template to use my institution's color scheme and logo before running the slide generation skill.
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