Local vision-language model for image analysis using SmolVLM-2B
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Analyze images locally using SmolVLM-2B, a state-of-the-art compact vision-language model optimized for Apple Silicon via mlx-vlm.
python ~/.claude/skills/smolvlm/scripts/view_image.py /path/to/image.png
python ~/.claude/skills/smolvlm/scripts/view_image.py /path/to/image.png "What text is visible?"
# Extract text (OCR)
python ~/.claude/skills/smolvlm/scripts/view_image.py screenshot.png "Extract all text"
# UI analysis
python ~/.claude/skills/smolvlm/scripts/view_image.py ui.png "Describe the UI elements"
# Detailed description
python ~/.claude/skills/smolvlm/scripts/view_image.py photo.jpg --detailed
"Describe this image" - Basic description"Describe this image in detail, including colors, composition, and any text" - Comprehensive"Extract all visible text from this image""What text appears in this screenshot?""Read the text in this document""Describe the user interface elements""What buttons and controls are visible?""Identify the application and its current state""How many [objects] are in this image?""What color is the [object]?""Is there a [object] in this image?""What programming language is shown?""Describe what this code does""Identify any errors in this code screenshot"| Spec | Value |
|---|---|
| Model | SmolVLM-2B-Instruct |
| Size | ~4GB |
| Peak Memory | 5.8GB |
| Speed | ~94 tok/s (M-series) |
| Supported Formats | PNG, JPG, JPEG, GIF, WebP |
uv pip install mlx-vlm --system"Model not found": First run downloads the model (~4GB). Wait for completion.
Out of memory: Close other applications. Model needs ~6GB free RAM.
Slow first inference: Model loading takes 10-15s on first use, subsequent calls are faster.
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概要と使いどころ
Search academic papers, build literature reviews, and synthesize research findings — combines Exa MCP (research_paper category, arxiv filtering) with arxiv-mcp-server for paper discovery, download, and deep analysis. Triggers on academic paper, literature review, research synthesis, arxiv, find papers, scholarly search.
日本語の概要は準備中です。原文の説明を表示しています。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。