Skillquality 0.48

aut-sci-ppt

Use when converting academic paper PDFs or structured text into professional, high-standard PowerPoint (PPTX) presentations for defense or seminars.

Price
free
Protocol
skill
Verified
no

What it does

Aut_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 13 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

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 PaperWorkflow

workflow = PaperWorkflow()
workflow.process_pdf("paper.pdf", output_pptx="seminar.pptx")

Capabilities

skillsource-shzhao27208skill-aut_sci_ppttopic-agenttopic-agent-skillstopic-ppttopic-pptx

Install

Installnpx skills add ShZhao27208/Aut_Sci_ppt
Transportskills-sh
Protocolskill

Quality

0.48/ 1.00

deterministic score 0.48 from registry signals: · indexed on github topic:agent-skills · 53 github stars · SKILL.md body (1,553 chars)

Provenance

Indexed fromgithub
Enriched2026-05-18 18:57:50Z · deterministic:skill-github:v1 · v1
First seen2026-05-15
Last seen2026-05-18

Agent access