An automated workflow for creating and preparing 5-slide Instagram-ready card news image sets from a single topic.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cardnews
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 cardnews using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The cardnews skill is a specialized automation pipeline designed to transform any topic into a professional, 5-slide Instagram carousel, commonly known as 카드뉴스. This tool handles the entire creative lifecycle, from strategic content planning and AI-powered image generation to technical optimization and captioning. It is built to maintain visual consistency and brand identity across social media platforms.
By integrating seamlessly within the Openclaw Skills ecosystem, this skill enables users to produce high-quality visual content without manual design work. It leverages advanced image generation tools and specific design rules—such as neon accents and dark backgrounds—to ensure that every slide is optimized for user retention and social media engagement.
To utilize this skill within your Openclaw Skills environment, ensure you have the image generation dependencies configured.
First, verify the image generation script path:
uv run <openclaw-install-dir>/skills/nano-banana-pro/scripts/generate_image.py --help
Then, ensure you have the necessary image processing libraries for the conversion script:
python3 {baseDir}/scripts/convert_jpg.py input.png
The cardnews skill organizes output files using a clear naming convention to manage the multi-slide workflow:
| Data Type | Description | File Pattern |
|---|---|---|
| Raw Images | AI-generated PNG files | cardnews-TOPIC-N.png |
| Final Assets | Instagram-ready JPG files (Quality 92) | *-ig.jpg |
| Visual Specs | 1024x1024 Resolution | Standard 1:1 Aspect Ratio |
| Metadata | Korean caption and hashtag set | Plain text / Markdown |
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