A specialized tool that transforms structured text briefings into high-quality, mobile-optimized long images designed for social media sharing.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install briefing-visualizer
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 briefing-visualizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Briefing Visualizer is a professional-grade automation utility within the Openclaw Skills ecosystem designed to bridge the gap between raw information and visual storytelling. It takes structured data—such as market reports, industry insights, or dynamic news—and renders it into a sleek, 390px wide HTML layout that is perfectly sized for mobile screens.
By leveraging a headless Chrome instance and Python-based image processing, this skill automates the entire design and export workflow. It ensures that your content is not just readable, but also aesthetically pleasing, using a warm professional color palette and clear typography that thrives on platforms like WeChat, Red (Xiaohongshu), and professional community groups.
weekly-final.jpg ready for immediate distribution.To get started with this Openclaw Skills component, ensure you have Python 3 and a Chrome environment installed. Use the following command to process your briefing:
# Run the visualization script
python3 process_briefing.py <html_file_path> <footer_banner_path> <output_filename>
# Example usage:
python3 process_briefing.py briefing.html ./assets/banner.png weekly-final.jpg
The skill organizes data into a structured hierarchy to ensure consistent visual output. The following fields are required for a successful render:
| Field | Description | Example |
|---|---|---|
| Title | The main heading of the report | Industry Insights Weekly |
| Subtitle | Optional English or descriptive subtitle | Market Trends 2026 |
| Date | The reporting period | April Week 3 (4.14 - 4.20) |
| Content Items | A list of news objects including ID, title, text, and tags | See content format below |
Content Item Structure:
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