openakita/skills@image-understander
Analyze images using GPT-4 Vision for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content, extract text from screenshots, identify objects in photos, or ask questions about images via OpenAI GPT-4 Vision API.
Best use case
openakita/skills@image-understander is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Analyze images using GPT-4 Vision for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content, extract text from screenshots, identify objects in photos, or ask questions about images via OpenAI GPT-4 Vision API.
Teams using openakita/skills@image-understander should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/image-understander/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openakita/skills@image-understander Compares
| Feature / Agent | openakita/skills@image-understander | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Analyze images using GPT-4 Vision for detailed description, OCR text extraction, object recognition, and visual Q&A. Use when the user needs to understand image content, extract text from screenshots, identify objects in photos, or ask questions about images via OpenAI GPT-4 Vision API.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 图片理解技能 (Image Understander)
## 📋 概述
一个基于 OpenAI GPT-4 Vision 的图片理解工具,支持图片描述、文字识别(OCR)、物体识别和图片问答。
## 🚀 功能
| 功能 | 命令 | 说明 |
|------|------|------|
| 图片描述 | `-m describe` | 详细描述图片内容 |
| 文字提取 | `-m ocr` | 提取图片中的所有文字 |
| 物体识别 | `-m objects` | 识别并列出图片中的物体 |
| 图片问答 | `-m qa` | 针对图片回答问题 |
## 📦 安装
```bash
# 安装依赖
pip install openai pillow requests
```
## 🔧 配置
### 方式一:环境变量
```bash
set OPENAI_API_KEY=sk-your-api-key-here
```
### 方式二:命令行传入
```bash
python scripts/main.py -i photo.jpg -a sk-your-key
```
## 📖 使用方法
### 基本使用
```bash
# 描述图片
python scripts/main.py -i photo.jpg -m describe
# 提取文字(OCR)
python scripts/main.py -i screenshot.png -m ocr
# 识别物体
python scripts/main.py -i photo.jpg -m objects
# 图片问答
python scripts/main.py -i photo.jpg -m qa -q "这个图片里有什么?"
```
### 完整参数
```bash
python scripts/main.py \
--image PATH_TO_IMAGE \
--mode describe|ocr|objects|qa \
--api-key YOUR_API_KEY \
--prompt "你的问题" \
--output OUTPUT.json \
--verbose
```
## 📁 输出示例
```json
{
"mode": "describe",
"image": "photo.jpg",
"result": "A beautiful sunset over the ocean with orange and purple sky...",
"objects": [],
"text": ""
}
```
## ⚠️ 注意事项
- 需要 OpenAI API Key(支持 GPT-4 Vision)
- 支持的图片格式:PNG、JPG、GIF、BMP
- 图片大小建议小于 20MBRelated Skills
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