A specialized vision skill that provides high-accuracy image recognition and text extraction to power AI agent reasoning.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install siliconflow-vision
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install siliconflow-vision using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The SiliconFlow Vision skill is a professional-grade image recognition and analysis tool designed for AI agents. It utilizes advanced Vision Large Language Models (VLM) to perform objective visual identification, allowing the primary agent to focus on cognitive reasoning and synthesis. By offloading the 'seeing' process to specialized models like DeepSeek-VL2 or Qwen2.5-VL, it ensures high-fidelity data extraction for any visual task.
This skill is a core component of the Openclaw Skills ecosystem, enabling developers to integrate multi-provider support including SiliconFlow, OpenAI, and Anthropic. It adheres to a strict protocol where the skill handles objective recognition while the main agent performs subjective analysis, ensuring more accurate and hallucination-free responses.
To get started, configure your API keys in config/default.json or set them as environment variables:
# Set your API key
export SILICONFLOW_API_KEY="your_key_here"
# Run a basic image analysis
python scripts/analyze_image.py /path/to/image.jpg
# Run with smart mode for complex charts
python scripts/analyze_image.py diagram.png -m smart
The skill produces a standardized output format to ensure consistency across Openclaw Skills integrations:
| Attribute | Content Type | Description |
|---|---|---|
| Image Type | Classification | Identifies if the image is a screenshot, meme, document, etc. |
| Clear Text | OCR String | Full, accurate extraction of all visible text elements. |
| Visual Elements | List | Identification of all key objects and components in the frame. |
| Layout | Structure | Description of the spatial organization and composition. |
| Style | Descriptive | Defines the atmosphere (e.g., minimalist, humorous, dark). |
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