A specialized AI agent skill that converts multi-turn requirement gathering and SVG slide designs into downloadable PPTX files.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install generate-pptx
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install generate-pptx using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Generate PPTX skill is a robust workflow designed for Openclaw Skills that bridges the gap between AI-generated visual content and professional presentation software. It utilizes a structured approach—from environment preparation to visual preset loading—to ensure that every slide generated as an SVG is perfectly embedded into a standard PowerPoint format.
By leveraging the python-pptx library within a controlled virtual environment, this skill allows users to transform long-form copy, rough outlines, or data structures into polished, business-ready slides. It ensures visual consistency by following strict layout constraints and high-end design presets, making it an essential tool for automated slide deck creation.
To get started with this skill in your Openclaw Skills directory, ensure the environment is prepared by running:
python skills/generate-pptx/scripts/ensure_skill_env.py
To convert a generated slides.json file into a PowerPoint presentation, use the unified execution entry point:
python skills/generate-pptx/scripts/run_in_skill_env.py skills/generate-pptx/scripts/slides_json_to_pptx.py slides.json -o output.pptx
The skill organizes its workflow through specific scripts and data structures:
| Component | Description |
|---|---|
slides.json |
A JSON array containing objects with title and svg keys for each slide. |
visual presets |
Markdown-based visual specifications (e.g., gazee-glacier.md) defining styles. |
exported_svgs/ |
Optional directory for intermediate SVG file debugging. |
.venv |
Localized Python environment for dependency isolation. |
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