Use Case
Infographic Image isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Stably convert any topic, long article, report, minutes or explanatory text into Chinese visual image prompt words, and then call the DashScope Qwen image model to directly produce the image. It is suitable for scenarios such as "making this content into an infographic", "making a long picture of a story comic", "converting a long text into a picture", "generating a Chinese picture prompt", "publishing a picture based on the document", etc.; it adopts the white magnetic conference board handwriting style by default, and also supports switching to other built-in templates. This guide covers how to deploy Infographic Image for your team, standardize prompts, and create shared workflows that everyone can use.
Install Infographic Image in your project directory: .claude/skills/infographic-image/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Infographic Image in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Infographic Image
How can my team use Infographic Image together?
Set up Infographic Image for our project so everyone can use it
Create a shared workflow using Infographic Image for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install infographic-imageOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install infographic-imageβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/infographic-image/π‘Extract and place the folder at the path above, then restart your agent.