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