smolvlm
SolidLocal vision-language model for image analysis using SmolVLM-2B
Install
Quality Score: 87/100
Skill Content
Details
- Author
- tdimino
- Repository
- tdimino/claude-code-minoan
- Created
- 7 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
vision-skills
Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel box), detect (element inventory), trace (image to SVG geometry), crop (cut a pixel box to a file), and scripts/html_shot.py (HTML file to image). Use for any task involving an image — questions, text, splitting and transcribing long screenshots or chat histories, locating elements, comparing, rebuilding as HTML/SVG, digitizing a sketch or diagram, reading values off a chart, operating a GUI from screenshots — and to re-check an image yourself when a description you were given lacks a detail.
vision-tools
Local vision CLIs: glance (describe/ask/OCR an image), ground (locate a target, pixel box), detect (element inventory), trace (image to SVG geometry), crop (cut a pixel box to a file), and scripts/html_shot.py (HTML file to image). Use for any task involving an image — questions, text, splitting and transcribing long screenshots or chat histories, locating elements, comparing, rebuilding as HTML/SVG, digitizing a sketch or diagram, reading values off a chart, operating a GUI from screenshots — and to re-check an image yourself when a description you were given lacks a detail.
vision-skill
国产大模型生态的视觉层 / Visual layer for Chinese LLM ecosystem. 为纯文本 AI 模型提供深度图像理解能力 / Deep visual understanding for text-only models. 通过硅基流动 Qwen/Qwen3.5-4B 视觉多模态模型桥接(可切换智谱 GLM-4.6V-Flash),支持场景图、空间推理、上下文分析、情感解读、因果推理链、追问查询 / Bridges text-only LLMs (GLM-5.2, DeepSeek, Qwen, GPT) with visual understanding via SiliconFlow Qwen/Qwen3.5-4B (or Zhipu GLM-4.6V-Flash): scene graphs, spatial reasoning, contextual analysis, emotional interpretation, causal reasoning chains, follow-up visual queries. 当用户提供图片(路径或 URL)并要求理解、分析、描述、识别、推理、提取文字、回答关于图片的问题时触发 / Activate when the user provides an image (file path or URL) and asks to understand, analyze, describe, recognize, reason about, or extract text from it. 兼容任何遵循 Agent Skills 开放标准的框架 / Works with any Agent framework following the Agent Skills open standard.