visual-qa-analysis
CommunityAsk any question about an image—get clear answers.
Education & Research#computer vision#image analysis#open-ended#question answering#visual qa#llm reasoning#vqa history
Authorsmyx-sunjinhui
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Help users understand what is inside an image by answering open-ended questions about objects, scenes, text, charts, and other visual elements.
Core Features & Use Cases
- Open-ended Visual Q&A (VQA): Supports asking free-form questions to receive natural-language answers grounded in image content.
- Cross-modal reasoning: Combines computer-vision style visual parsing with large-model semantic understanding for coherent responses.
- History query (keyword-triggered): Can list past visual Q&A records by calling the required cloud API path rather than using local memory.
Quick Start
Provide an image URL or upload an image and ask your question (for example: ask “What is the core trend of this chart?”) to receive an answer about the image.
Dependency Matrix
Required Modules
requests
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: visual-qa-analysis Download link: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/archive/main.zip#visual-qa-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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