Run3 Extract PPTX Content and Structure
[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.
npx -y skills add cxcscmu/SkillLearnBench --skill run3_Extract-PPTX-Content-and-StructureAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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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
- Title slide: Main topic of presentation
- Slide titles: Each slide's heading indicates content areas
- Body text: Bullet points and paragraphs contain subject keywords
- 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.