Best use case
glm4v-analyze-image is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 智谱AI的视觉语言模型，用于图像分析、内容识别和视觉问答
智谱AI的视觉语言模型，用于图像分析、内容识别和视觉问答
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "glm4v-analyze-image" skill to help with this workflow task. Context: 智谱AI的视觉语言模型，用于图像分析、内容识别和视觉问答
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/glm4v-analyze-image/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How glm4v-analyze-image Compares
| Feature / Agent | glm4v-analyze-image | 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?
智谱AI的视觉语言模型，用于图像分析、内容识别和视觉问答
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
# GLM-4V图像分析工具指南
## 核心能力
- 图像内容识别和描述
- 视觉问答和推理
- 图像细节分析
- 多模态理解和生成
## 调用规范
```json
{
"tool_name": "glm4v_analyze_image",
"parameters": {
"model": "glm-4v-flash",
"image_url": "图片URL",
"prompt": "分析提示语"
}
}
```
以下是调用 `glm4v_analyze_image` 工具的**正确**和**错误**示例。请务必遵循正确格式。
## ✅ 正确示例
```json
{"model": "glm-4v-flash", "image_url": "https://path/to/image.jpg", "prompt": "Describe this image."}
```
## ❌ 错误示例 (请避免以下常见错误)
- **缺少引号或逗号:**
```json
{"model": "glm-4v-flash", "image_url": "https://path/to/image.jpg", "prompt": "Describe this image."}
```
(缺少 `}`)
- **参数名错误:**
```json
{"img_url": "https://path/to/image.jpg"}
```
(应为 "image_url" 而非 "img_url")
- **模型名称错误:**
```json
{"model": "glm4v-flash", "image_url": "https://path/to/image.jpg", "prompt": "Describe this image."}
```
(应为 "glm-4v-flash")
## 关键指令
1. **模型选择**: 使用 `glm-4v-flash` 模型
2. **图片格式**: 支持常见图片格式（JPEG, PNG, WebP等）
3. **提示语设计**: 清晰具体的分析指令
4. **URL有效性**: 确保图片URL可公开访问
## 使用场景
### 图像描述
```json
{
"tool_name": "glm4v_analyze_image",
"parameters": {
"model": "glm-4v-flash",
"image_url": "https://example.com/image.jpg",
"prompt": "详细描述这张图片的内容"
}
}
```
### 视觉问答
```json
{
"tool_name": "glm4v_analyze_image",
"parameters": {
"model": "glm-4v-flash",
"image_url": "https://example.com/image.jpg",
"prompt": "图片中有多少人？他们在做什么？"
}
}
```
### 细节分析
```json
{
"tool_name": "glm4v_analyze_image",
"parameters": {
"model": "glm-4v-flash",
"image_url": "https://example.com/image.jpg",
"prompt": "分析图片中的文字内容和技术细节"
}
}
```
## 最佳实践
### 提示语设计
- **具体明确**: "描述图片中人物的动作和表情"
- **任务导向**: "识别图片中的所有物体并分类"
- **细节要求**: "注意颜色、形状、空间关系等细节"
### 错误处理
- 检查图片URL是否有效
- 确认图片格式支持
- 处理网络超时情况
## 能力范围
- ✅ 物体识别和分类
- ✅ 场景理解和描述
- ✅ 文字识别（OCR）
- ✅ 情感和氛围分析
- ✅ 技术细节提取
## 限制说明
- ❌ 不能处理敏感或不当内容
- ❌ 图片大小和分辨率有限制
- ❌ 实时视频流不支持
- ❌ 3D模型分析不支持
## 性能优化
- 使用合适的图片尺寸
- 提供具体的分析需求
- 分步骤进行复杂分析
- 结合其他工具进行验证Related Skills
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