sci-ppt

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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.

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NPX Install

npx skill4agent add shzhao27208/aut_sci_write sci-ppt

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")

Translation and
.env
values

  • No translation API key is required by default. PDF-to-PPT keeps extracted content in the paper's original language.
  • Optional Chinese translation is available only when explicitly requested with
    translate=True
    in Python or
    --translate
    in the CLI.
  • MOONSHOT_API_KEY
    is only used for that optional translation path. If translation is not requested, the workflow does not read or require this key.
  • 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.