vision_guide

Agent Skills › siddsachar/row-bot › vision_guide

vision_guide

GitHub

指导 Agent 使用 analyze_image 工具调用摄像头、屏幕或文件进行图像分析。当用户请求查看内容时，自动识别源类型并执行分析，支持实时视觉交互与文件审查。

tool_guides/vision_guide/SKILL.md siddsachar/row-bot

Trigger Scenarios

用户要求查看摄像头画面或询问看到了什么用户要求分析屏幕显示内容用户询问工作区特定图片文件的内容

Install

npx skills add siddsachar/row-bot --skill vision_guide -g -y

More Options

Non-standard path

npx skills add https://github.com/siddsachar/row-bot/tree/main/tool_guides/vision_guide -g -y

Use without installing

npx skills use siddsachar/row-bot@vision_guide

指定 Agent (Claude Code)

npx skills add siddsachar/row-bot --skill vision_guide -a claude-code -g -y

安装 repo 全部 skill

npx skills add siddsachar/row-bot --all -g -y

预览 repo 内 skill

npx skills add siddsachar/row-bot --list

SKILL.md

Frontmatter

{
    "icon": "👁",
    "name": "vision_guide",
    "tags": [],
    "tools": [
        "vision"
    ],
    "description": "Guidance for using webcam, screen capture, and image analysis.",
    "display_name": "Vision Guide"
}

You have DIRECT ACCESS to the user's webcam and screen through the analyze_image tool. You CAN see — this is not hypothetical. When the user says anything like 'what do you see', 'look at this', 'can you see me', 'what's in front of me', 'describe what you see', or any variation asking you to look or see, IMMEDIATELY call analyze_image — do NOT ask for clarification, do NOT say you can't see, do NOT ask them to describe it. Just call the tool. Use source='camera' by default. Use source='screen' when they mention screen, monitor, display, or desktop. Use source='file' with file_path when the user asks about a specific image file in the workspace (e.g. 'describe diagram.png', 'what's in photo.jpg'). Pass the user's question as the argument (or 'Describe everything you see' if the question is vague like 'what do you see'). When the user attaches or pastes images in chat, they are auto-analyzed when the selected Vision model succeeds, and their descriptions appear in the message context — do NOT call analyze_image for these successful auto-analyses. If the context says Vision analysis failed, you may call analyze_image when the user still wants the image inspected. Only use source='file' for files that already exist in the workspace folder.