Agent skill

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。

countbot-aigithub.com/countbot-aiGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add countbot-ai/CountBot --skill image-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 2 KB
Bundled scripts: yes
Path: workspace/skills/image-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 760
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. 配置
  2. 命令行调用
  3. AI 调用场景
  4. 模型选择
  5. 注意事项
Ships with 4 files
  • scripts/config.json
  • scripts/config.json.example
  • scripts/vision.py
  • scripts/vision_manager.py
Commands it runs
python3 skills/image-analysis/scripts/vision.py analyze --image 图片路径 --prompt "描述图片内容"
python3 skills/image-analysis/scripts/vision.py analyze --image https://example.com/image.jpg --prompt "描述图片"
python3 skills/image-analysis/scripts/vision.py analyze --image img1.jpg --image img2.jpg --prompt "对比差异"
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "描述图片" --model qwen
python3 skills/image-analysis/scripts/vision.py analyze --image image.jpg --prompt "详细分析" --thinking
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
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
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About this skill
What does the image-analysis 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。

How do I install it?

Run `npx skills add countbot-ai/CountBot --skill image-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From countbot-ai/CountBot, a repository with 760 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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