Agent skill

pptx

Extract text from Microsoft PowerPoint presentations

axoviq-aigithub.com/axoviq-aiGitHub ↗
claude-codeships scriptsAGPL-3.0
Install
npx skills add axoviq-ai/synthadoc --skill pptx --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 1 KB
Bundled scripts: yes
Version: 1.0
Declared author: axoviq.com
Path: synthadoc/skills/pptx/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 857
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# PPTX Skill Extracts text from `.pptx` files using `python-pptx`. Each slide is rendered as a titled section; speaker notes are appended when present. ## Setup ```bash pip install python-pptx ``` ## Standalone usage ```python import asyncio from synthadoc.skills.pptx.scripts.main import PptxSkill skill = PptxSkill() async def main(): result = await skill.extract("/path/to/slides.pptx") print(result.text) # slide titles + body text + speaker notes print(result.metadata) # {"slides": N} asyncio.run(main()) ``` ## When this skill is used - Source path ends with `.pptx` - User intent contains: `powerpoint`, `presentation`, `pptx`

What's inside
Steps it walks through
  1. Setup
  2. Standalone usage
  3. When this skill is used
Ships with 3 files
  • requirements.txt
  • scripts/__init__.py
  • scripts/main.py
Commands it runs
pip install python-pptx
More from synthadoc
All skills →
About this skill
What does the pptx skill do?

Extract text from Microsoft PowerPoint presentations

How do I install it?

Run `npx skills add axoviq-ai/synthadoc --skill pptx --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From axoviq-ai/synthadoc, a repository with 857 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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