Use Case
Ms Qwen Vl isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Call the Qwen3-VL multi-modal API of ModelScope for visual analysis. Called using OpenAI SDK compatible methods, it supports image content description, OCR text extraction, visual question answering, object detection and other functions. It should be triggered when the user mentions keywords such as "ModelScope", "Qwen-VL", "Multimodal Vision", and "Analyzed Pictures". This guide covers how to deploy Ms Qwen Vl for your team, standardize prompts, and create shared workflows that everyone can use.
Install Ms Qwen Vl in your project directory: .claude/skills/ms-qwen-vl/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Ms Qwen Vl 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 Ms Qwen Vl
How can my team use Ms Qwen Vl together?
Set up Ms Qwen Vl for our project so everyone can use it
Create a shared workflow using Ms Qwen Vl for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install ms-qwen-vlOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install ms-qwen-vlβ 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/ms-qwen-vl/π‘Extract and place the folder at the path above, then restart your agent.