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Sci Ppt

Community
ShZhao27208
sci-ppt

Generate professional academic PowerPoint (PPTX) presentations from paper PDFs, structured outlines, or plain text. Use for thesis defense, seminar reports, literature presentations, and graduate school applications. Supports automatic figure extraction, LaTeX formula rendering, and bilingual (Chinese/English) layouts.

Overview

PublisherShZhao27208
RepositoryAut_Sci_Write
Skill namesci-ppt
Stars
211
Forks
28
Bundled files
38
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 38 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ShZhao27208 on GitHub. Read the source before you install it.

Installation

Install the Sci Ppt AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-ppt
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git /tmp/Aut_Sci_Write
mkdir -p .claude/skills
cp -r /tmp/Aut_Sci_Write/skills/sci-ppt .claude/skills/sci-ppt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sci Ppt in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sci Ppt on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sci Ppt is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Sci-PPT — Academic Auto-PPT Agent

A specialized tool for generating professional academic presentations directly from paper content or structured outlines.

Core Behavioral Rules (The 12 Laws)

  1. Format: Use 1. Title for chapters and - Point for bullets.
  2. Markdown: 🚫 DO NOT use ## for slide titles; it is not recognized by the parser.
  3. Innovation: Identify the core innovation of the paper and highlight it in Red.
  4. Imagery: Use HD extraction (600 DPI) for figures; minimum width >= 300px.
  5. No Scrapping: 🚫 PROHIBITED to scrap low-quality bitmaps from PDF streams.
  6. Formulas: Render LaTeX formulas as high-quality transparent PNGs.
  7. Transparency: All generated formula/media assets must have transparent backgrounds.
  8. Feedback: Inform the user if an operation (like PDF parsing) will take >10 seconds.
  9. Final Output: 🚫 DO NOT output intermediate Markdown; generate and provide the .pptx directly.
  10. Colors: Use #1E3A5F (Primary Blue) and #EE0000 (Highlight Red).
  11. Layout: Ensure zero text-overflow or figure-text overlap.
  12. Professionalism: Keep communication brief and technical; skip AI pleasantries.

Usage

Simple Text Input

python
from aut_sci_ppt import create_ppt

create_ppt("""
主题:[Title]
申请人:[Name]
1. [Section Title]
- [Content]
""", "output.pptx")

PDF to PPT (Academic Workflow)

python
from aut_sci_ppt import auto_generate_ppt

output = auto_generate_ppt("paper.pdf", author="张三", advisor="李教授")

API keys

  • No API key is required for the PDF-to-PPT workflow. Extracted content stays in the paper's original language.
  • Network access is still required for LaTeX formula rendering (via codecogs.com).

© License & Copyright

Aut_Sci_Write — Autonomous Scientific Writer

  • Author: Shuo Zhao
  • License: MIT License
  • Copyright: © 2026 Shuo Zhao. All rights reserved.
  • Original Work: This is an original work created by the author. No reproduction, redistribution, or commercial use without explicit permission. Permission is hereby granted, free of charge, to any person obtaining a copy of this software... (See the LICENSE file in the root directory for the full MIT terms.)

This skill is part of the Aut_Sci_Write suite. For full license terms, see the LICENSE file in the project root.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sci Ppt AI skill do?

Generate professional academic PowerPoint (PPTX) presentations from paper PDFs, structured outlines, or plain text. Use for thesis defense, seminar reports, literature presentations, and graduate school applications. Supports automatic figure extraction, LaTeX formula rendering, and bilingual (Chinese/English) layouts.

Why use Sci Ppt on TypingMind?

Because you install it once and use it with any model. Sci Ppt is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sci Ppt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-ppt. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sci Ppt?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sci Ppt?

As many as you like. As long as a model supports skills, you can use Sci Ppt with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sci Ppt AI skill free?

Yes. It is published on GitHub by ShZhao27208 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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