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".
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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.
Category
πDocuments & NotesPlatforms
What Ms Qwen Vl can do for your AI workflow
Call the qwen3-vl multi-modal directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,668+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Ms Qwen Vl
Help me get started with Ms Qwen Vl
Explains what Ms Qwen Vl does, walks through the setup, and runs a quick demo based on your current project
Use Ms Qwen Vl to call the Qwen3-VL multi-modal API of ModelScope for visual analysis
Invokes Ms Qwen Vl with the right parameters and returns the result directly in the conversation
What can I do with Ms Qwen Vl in my documents & notes workflow?
Lists the top use cases for Ms Qwen Vl, with example commands for each scenario
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Ms Qwen Vl extends your AI assistant with the ability to 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". Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Ms Qwen Vl as its underlying capability.
Ms Qwen Vl works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Ms Qwen Vl once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Ms Qwen Vl takes about two minutes. Place the skill at `~/.claude/skills/ms-qwen-vl/` (personal, all projects) or `.claude/skills/ms-qwen-vl/` (project-specific), then restart your AI client. From that point, typing `/ms-qwen-vl` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Ms Qwen Vl has been installed 1,668 times, making it one of the more actively used skills in the Documents & Notes category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/ms-qwen-vl/ for personal use (all projects), or .claude/skills/ms-qwen-vl/ for project-specific use. Restart your AI client, then invoke with /ms-qwen-vl or let the AI discover it automatically.
Ms Qwen Vl supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Ms Qwen Vl is free to install. Check the repository for licensing information.
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".
Qwen Image
Generate images using Qwen Image API (Alibaba Cloud DashScope). Use when users request image generation with Chinese prompts or need high-quality AI-generated images from text descriptions.
Qwen3-tts
Local text-to-speech using Qwen3-TTS-12Hz-1.7B-CustomVoice. Use when generating audio from text, creating voice messages, or when TTS is requested. Supports 10 languages including Italian, 9 premium speaker voices, and instruction-based voice control (emotion, tone, style). Alternative to cloud-based TTS services like ElevenLabs. Runs entirely offline after initial model download.
Qwen Image Plus Sophnet
Generate images via Sophnet Qwen-Image-Plus and poll for task completion. Use when the user asks for Sophnet image generation, Qwen-Image-Plus, or requests an image from the Sophnet API.
Automate my documents & notes tasks using Ms Qwen Vl
Identifies repetitive steps in your workflow and sets up Ms Qwen Vl to handle them automatically
Ms Qwen Vl is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.