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Run3 Extract PPTX Content and Structure

Skill cxcscmu/SkillLearnBench/skills/b3-teacher-feedback-claude-haiku-4-5/organize-messy-files/run3_Extract-PPTX-Content-and-Structure

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run3_Extract-PPTX-Content-and-Structure

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What its author says it does

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Use this skill to extract text, slide titles, and content from PowerPoint presentations to accurately determine their subject matter for classification.

SKILL.md

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When to use this skill

  • When you need to read the actual content from .pptx files
  • Before sorting presentations into subject folders
  • When filenames don't clearly indicate the presentation topic

How to extract PPTX content

Using markitdown for structured extraction

python -m markitdown input.pptx > output.md

Using Python with python-pptx

from pptx import Presentation

def extract_pptx_content(pptx_path):
    prs = Presentation(pptx_path)
    content = []
    
    for slide_num, slide in enumerate(prs.slides, 1):
        slide_text = f"--- SLIDE {slide_num} ---\n"
        
        for shape in slide.shapes:
            if hasattr(shape, "text"):
                slide_text += shape.text + "\n"
        
        content.append(slide_text)
    
    return "\n".join(content)

Key information to extract

  1. Title slide: Main topic of presentation
  2. Slide titles: Each slide's heading indicates content areas
  3. Body text: Bullet points and paragraphs contain subject keywords
  4. First 5 slides: Usually establish the presentation's main subject

Subject indicators to look for

  • Look for the same keyword patterns as PDF extraction
  • Note technical terms, proper nouns, and repeated concepts
  • Section headers often reveal the subject area

Store extracted content

Keep the full extracted text for analysis during subject classification.

Keep looking

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