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volc-vision

使用火山引擎 ARK API 做图片理解、图片描述、视觉问答与图像分析。适用于用户发来图片并询问“这是什么”“图里有什么”“帮我看下这张图”“描述一下图片内容”“识别图片中的信息”等场景,也适用于需要对本地图片、图片 URL 或 base64 图片做理解和问答时。

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/big-dust/volc-vision
Or

What This Skill Does

The volc-vision skill is a powerful computer vision integration designed to bridge the gap between image data and natural language understanding. By leveraging the advanced Volcano Engine (ARK) API, this skill allows your OpenClaw AI agent to 'see' and interpret images, photos, and visual data. It supports diverse input formats, including local file paths, publicly accessible image URLs, and base64-encoded strings, making it highly versatile for various automation workflows. The skill utilizes a prioritized model system, with the 'doubao-seed-1-6-vision-250815' model as the default flagship, ensuring high-quality, accurate analysis of complex images.

Installation

To integrate this skill into your environment, use the OpenClaw package manager: clawhub install openclaw/skills/skills/big-dust/volc-vision

Ensure you have your Volcano Engine ARK API key ready. Set it as an environment variable in your terminal session or your OpenClaw configuration file: export ARK_API_KEY="your_api_key_here"

Use Cases

  • Information Extraction: Automatically identify text or key data points within receipts, documents, or screenshots.
  • Content Moderation: Analyze incoming images to describe their context, objects, or themes.
  • Visual Q&A: Provide interactive feedback to users who upload photos and ask specific questions about the contents.
  • Accessibility: Generate descriptive alt-text or summaries for images shared in communication channels.
  • Automated Workflow Routing: Use visual input to trigger downstream business logic based on what is detected in the image.

Example Prompts

  1. "Look at this screenshot and explain what error message is being displayed."
  2. "I'm sending an image of my desk. What items can you identify in this photo?"
  3. "Describe the overall design and color scheme of this interior design image."

Tips & Limitations

  • Model Selection: While the skill automatically selects the best model, you can override this by setting the VISION_MODEL environment variable to any of the supported models (e.g., doubao-1-5-vision-pro-32k-250115).
  • Performance: High-resolution images may consume more processing time; ensure inputs are optimized for the best experience.
  • Scope: This skill is strictly for image understanding. It does not possess image-generation capabilities; use dedicated imaging skills if your intent is to create visuals rather than analyze them.
  • Privacy: Since this skill transmits images to the ARK API for processing, ensure that sensitive or confidential images are handled in accordance with your organization's data privacy policies.

Metadata

Author@big-dust
Stars4473
Views1
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-big-dust-volc-vision": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#vision#ocr#image-analysis#volcano-engine#multimodal
Safety Score: 4/5

Flags: file-read, external-api