image-analysis
图片分析与识别，可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。
Best use case
image-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
图片分析与识别，可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。
Teams using image-analysis 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-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How image-analysis Compares
| Feature / Agent | image-analysis | 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?
图片分析与识别，可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。
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.
SKILL.md Source
# 图片分析与识别
支持智谱 GLM-4V 和千问 Qwen-VL 两种视觉模型。
当用户发送图片或要求分析图片时，必须使用此技能，不要使用 PIL、pytesseract 等其他方法。
## 配置
编辑 `skills/image-analysis/scripts/config.json`：
```json
{
"default_model": "zhipu",
"zhipu": {
"api_key": "your-zhipu-api-key",
"model": "glm-4.6v-flash"
},
"qwen": {
"api_key": "your-qwen-api-key",
"model": "qwen3-vl-plus"
}
}
```
API Key 获取：
- 智谱（免费）：https://open.bigmodel.cn/
- 千问：https://help.aliyun.com/zh/model-studio/get-api-key
## 命令行调用
```bash
# 分析本地图片（最常用）
python3 skills/image-analysis/scripts/vision.py analyze --image 图片路径 --prompt "描述图片内容"
# 分析网络图片
python3 skills/image-analysis/scripts/vision.py analyze --image https://example.com/image.jpg --prompt "描述图片"
# 多图对比
python3 skills/image-analysis/scripts/vision.py analyze --image img1.jpg --image img2.jpg --prompt "对比差异"
# 指定模型
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --model qwen
# 开启思考模式（仅智谱，提升准确度）
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "详细分析" --thinking
# 视频分析
python3 skills/image-analysis/scripts/vision.py analyze --video video.mp4 --prompt "总结视频内容"
# JSON 输出
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --json
```
## AI 调用场景
用户发送图片后，系统下载到本地（如 `data/temp/images/xxx.jpg`）：
```bash
# 图片描述
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "描述这张图片的内容"
# OCR 识别
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "提取图片中的所有文字信息"
# 物体定位（开启思考模式）
python3 skills/image-analysis/scripts/vision.py analyze --image data/temp/images/xxx.jpg --prompt "找出物体位置，返回坐标" --thinking
```
## 模型选择
| 场景 | 推荐 |
|------|------|
| 简单描述 | 任意 |
| 复杂推理、物体定位 | 智谱 + `--thinking` |
| 高精度识别、文档解析 | 千问 |
| 成本敏感 | 智谱（免费） |
## 注意事项
- 本地图片自动转 Base64，支持 jpg/png/gif/webp/bmp
- 智谱图片限制 5MB，像素不超过 6000x6000
- 千问不支持同时处理图片、视频和文件
- 思考模式会增加响应时间但提升准确度Related Skills
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