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Openakita/Skills@Image Understanding

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openakita/skills@image-understanding

Analyze images using Dashscope (Qwen) Vision models for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content via Alibaba Cloud Dashscope API, especially for Chinese-language image analysis and documents.

Overview

Publisheropenakita
Repositoryopenakita
Skill nameopenakita/skills@image-understanding
Stars
2K
Forks
277
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by openakita on GitHub. Read the source before you install it.

Installation

Install the Openakita/Skills@Image Understanding AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openakita/openakita.git /tmp/openakita
mkdir -p .claude/skills
cp -r /tmp/openakita/skills/image-understanding .claude/skills/openakita-openakita-skills-image-understanding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openakita/Skills@Image Understanding in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Openakita/Skills@Image Understanding on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Openakita/Skills@Image Understanding is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

图片理解技能 (Image Understanding)

使用 Dashscope(通义千问) 视觉模型分析图片,支持详细描述、OCR文字提取、物体识别和图片问答。


简介

图片理解技能是一个强大的视觉分析工具,通过调用 Dashscope(阿里云通义千问)的视觉大模型(qwen-vl-plus、qwen-vl-max),让 AI 能够理解和分析图像内容。

核心功能:

  • 🖼️ 图片内容详细描述
  • 🔤 文字提取(OCR)
  • 🎯 物体识别
  • 💬 图片问答

使用场景

📄 文档处理

  • 会议白板照片转文字
  • 纸质文档扫描识别
  • 手写笔记数字化

🛒 工作应用

  • 产品图片分析
  • 竞品图片提取信息
  • 图表数据解读

💬 图片问答

  • 针对图片提问获取答案
  • 理解复杂场景细节
  • 技术图纸逻辑分析

环境配置

1️⃣ 安装依赖

bash
pip install requests

2️⃣ 获取 Dashscope API Key

  1. 访问 Dashscope 控制台
  2. 创建账号并开通服务
  3. 创建 API Key

3️⃣ 配置 API Key

bash
# 方式一:环境变量(推荐)
set DASHSCOPE_API_KEY=sk-your-api-key-here

# 方式二:运行时传入(见下方)

使用方法

基本命令

bash
python scripts/image_understanding.py -i 图片路径 [选项]

常用参数

参数说明
-i, --image必填 图片路径或URL
-m, --model模型选择:qwen-vl-plus(默认) 或 qwen-vl-max
-p, --custom-prompt自定义分析提示词
-e, --extract-text提取文字(OCR)
-o, --identify-objects识别物体
--compact输出紧凑JSON

使用示例

bash
# 1. 基本描述(默认)
python scripts/image_understanding.py -i photo.jpg

# 2. 提取文字
python scripts/image_understanding.py -i screenshot.png -e

# 3. 识别物体
python scripts/image_understanding.py -i photo.jpg -o

# 4. 自定义问答
python scripts/image_understanding.py -i photo.jpg -p "这个产品多少钱?"

# 5. 使用更强的模型
python scripts/image_understanding.py -i photo.jpg -m qwen-vl-max

# 6. 网络图片
python scripts/image_understanding.py -i "https://example.com/image.png" -e

# 7. 设置API Key后运行
set DASHSCOPE_API_KEY=sk-xxx
python scripts/image_understanding.py -i photo.jpg

最佳实践

📸 图片质量

  • 确保图片清晰、亮度充足
  • 文字图片分辨率不低于 640x640
  • 避免模糊或过暗的图片

💡 提示词技巧

  • 使用具体、明确的指令
  • 指定关注点(如"重点关注价格标签")
  • 多语言场景可混合中英文

✅ 结果验证

  • 重要信息建议人工复核
  • 涉及专业领域需专家确认
  • 妥善保存原始图片和分析结果

API 配置

配置项
服务商Dashscope (通义千问)
默认模型qwen-vl-plus
高级模型qwen-vl-max
API Basehttps://dashscope.aliyuncs.com/compatible-mode/v1
环境变量DASHSCOPE_API_KEY

故障排除

问题解决方案
API Key 错误检查 DASHSCOPE_API_KEY 是否正确
图片格式不支持使用 PNG/JPG/GIF/WEBP/BMP 格式
网络超时检查网络连接,尝试使用代理
识别不准确提高图片质量,添加更详细的提示词

运行 python scripts/image_understanding.py --help 查看完整帮助

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Openakita/Skills@Image Understanding AI skill do?

Analyze images using Dashscope (Qwen) Vision models for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content via Alibaba Cloud Dashscope API, especially for Chinese-language image analysis and documents.

Why use Openakita/Skills@Image Understanding on TypingMind?

Because you install it once and use it with any model. Openakita/Skills@Image Understanding is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Openakita/Skills@Image Understanding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openakita/openakita/tree/main/skills/image-understanding. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Openakita/Skills@Image Understanding?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Openakita/Skills@Image Understanding?

As many as you like. As long as a model supports skills, you can use Openakita/Skills@Image Understanding with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Openakita/Skills@Image Understanding AI skill free?

Yes. It is published on GitHub by openakita under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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