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alicloud-ai-multimodal-qvq
About alicloud-ai-multimodal-qvq
A skill for preparing requests to Alibaba Cloud Model Studio’s QVQ models, aimed at visual reasoning tasks. It distinguishes QVQ reasoning from standard image understanding and specifies the supported model names.
Key features
- 01Prepares QVQ requests
- 02Supports qvq-plus and qvq-max
- 03Targets reasoning over visual evidence
Use cases
- 01Reasoning through math screenshots
- 02Analyzing diagrams and charts
- 03Solving multi-step visual problems
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ cinience/ alicloud-skills --skill alicloud-ai-multimodal-qvqAfter installing, type/alicloud-ai-multimodal-qvqin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
agents/openai.yamlreferences/sources.mdscripts/prepare_qvq_request.pyDetails
From the project READMECategory: provider
Model Studio QVQ Visual Reasoning
Validation
mkdir -p output/alicloud-ai-multimodal-qvq
python -m py_compile skills/ai/multimodal/alicloud-ai-multimodal-qvq/scripts/prepare_qvq_request.py && echo "py_compile_ok" > output/alicloud-ai-multimodal-qvq/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-multimodal-qwen-vqv/validate.txt is generated.
Critical model names
Use one of these exact model strings:
qvq-plusqvq-max
Typical use
- Mathematical reasoning from screenshots
- Diagram and chart reasoning
- Visually grounded multi-step problem solving
Quick start
python skills/ai/multimodal/alicloud-ai-multimodal-qvq/scripts/prepare_qvq_request.py \
--output output/alicloud-ai-multimodal-qvq/request.json
Notes
- Use
skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl/for standard image understanding. - Use QVQ when the task explicitly needs stronger reasoning over visual evidence.
References
references/sources.md
Comments
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