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- Target platform
- OpenClaw
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- Manual import
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- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Ms Qwen Vl
调用魔搭社区（ModelScope）Qwen3-VL 多模态 API 进行视觉解析。使用 OpenAI SDK 兼容方式调用，支持图片内容描述、OCR 文字提取、视觉问答、对象检测等功能。用户提到"魔搭"、"ModelScope"、"Qwen-VL"、"多模态视觉"、"解析图片"等关键词时应触发。
skill openclawclawhub Free
调用魔搭社区（ModelScope）Qwen3-VL 多模态 API 进行视觉解析。使用 OpenAI SDK 兼容方式调用，支持图片内容描述、OCR 文字提取、视觉问答、对象检测等功能。用户提到"魔搭"、"ModelScope"、"Qwen-VL"、"多模态视觉"、"解析图片"等关键词时应触发。
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- README.md, SKILL.md, references/api-guide.md, references/models.md, requirements.txt, scripts/ms_qwen_vl.py
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- Tencent SkillHub
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- Version
- 0.1.0
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Documentation
MS-Qwen-VL Skill
基于 ModelScope Qwen3-VL 系列模型的多模态视觉识别技能，使用 OpenAI SDK 兼容方式调用。
功能特点
OpenAI SDK 兼容：使用标准 OpenAI SDK 调用 API 多种任务支持：图像描述、OCR、视觉问答、目标检测、图表解析 双模型模式：默认快速模型（30B）+ 精细高精度模型（235B） 灵活输入：支持本地图片和 URL
安装与配置
# 安装依赖 pip install -r requirements.txt # 配置 API Key cp .env.example .env 编辑 .env 文件，填入从 https://modelscope.cn/my/myaccesstoken 获取的 API Key： MODELSCOPE_API_KEY=your_api_key_here
重要：处理本地图片
当用户提供本地图片路径时（如桌面截图），必须使用 Python 脚本处理： python scripts/ms_qwen_vl.py "<图片路径>" --task <任务类型> 脚本会自动将本地文件转换为 ModelScope API 需要的 base64 格式。
处理 URL 图片
当用户提供网络 URL 时，同样使用上述命令，脚本会自动识别： python scripts/ms_qwen_vl.py "<URL>" --task <任务类型>
Claude Code 对话示例
场景 1：分析桌面截图 用户: 请帮我描述这张图片 C:\Users\...\Desktop\screenshot.png 助手: [执行] python scripts/ms_qwen_vl.py "C:\Users\...\Desktop\screenshot.png" 场景 2：OCR 识别本地图片 用户: 识别这张图中的文字: D:\Documents\invoice.jpg 助手: [执行] python scripts/ms_qwen_vl.py "D:\Documents\invoice.jpg" --task ocr 场景 3：分析网络图片 用户: 分析这张图片 https://example.com/photo.jpg 助手: [执行] python scripts/ms_qwen_vl.py "https://example.com/photo.jpg" --task describe 场景 4：视觉问答 用户: 这张图里有几个人？C:\Users\...\Desktop\photo.png 助手: [执行] python scripts/ms_qwen_vl.py "C:\Users\...\Desktop\photo.png" --task ask --question "图片里有几个人？"
任务类型对照
用户需求--task 参数描述图片内容describe识别文字/OCRocr回答关于图片的问题ask（需要 --question）检测物体detect解析图表chart
快速使用
# 图像描述（默认） python scripts/ms_qwen_vl.py image.jpg # OCR 文字识别 python scripts/ms_qwen_vl.py image.jpg --task ocr # 视觉问答 python scripts/ms_qwen_vl.py image.jpg --task ask --question "图片里有什么？" # 使用精细模式（235B 模型） python scripts/ms_qwen_vl.py image.jpg --task describe --precise Python 代码调用： from scripts.ms_qwen_vl import analyze_image result = analyze_image("image.jpg", task="ocr") print(result)
任务类型
任务参数说明图像描述describe详细描述图片内容（默认）OCR 识别ocr识别图片中的文字视觉问答ask回答关于图片的问题目标检测detect检测图片中的物体图表解析chart解析图表数据
环境变量
变量名说明MODELSCOPE_API_KEYAPI 密钥（必需）MODELSCOPE_MODEL默认模型（可选）MODELSCOPE_MODEL_PRECISE精细模式模型（可选）
scripts/
ms_qwen_vl.py - 核心解析脚本，提供 analyze_image() 统一接口
references/
api-guide.md - OpenAI SDK 兼容调用方式详细说明 models.md - Qwen3-VL 系列模型及推荐使用场景
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
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Package contents
Included in package
4 Docs1 Scripts1 Files
- SKILL.md
- README.md
- references/api-guide.md
- references/models.md
- scripts/ms_qwen_vl.py
- requirements.txt