aliyun-qvq
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npx mdskill add cinience/alicloud-skills/aliyun-qvqPerforms visual reasoning using Alibaba Cloud Model Studio QVQ models for image and chart analysis
- Solves math problems from screenshots and analyzes diagrams or charts
- Uses Alibaba Cloud Model Studio QVQ models (qvq-plus, qvq-max)
- Applies step-by-step reasoning grounded in visual evidence
- Generates structured outputs for integration into workflows
SKILL.md
.github/skills/aliyun-qvqView on GitHub ↗
--- name: aliyun-qvq description: Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded problem solving. version: 1.0.0 --- Category: provider # Model Studio QVQ Visual Reasoning ## Validation ```bash mkdir -p output/aliyun-qvq python -m py_compile skills/ai/multimodal/aliyun-qvq/scripts/prepare_qvq_request.py && echo "py_compile_ok" > output/aliyun-qvq/validate.txt ``` Pass criteria: command exits 0 and `output/aliyun-qvq/validate.txt` is generated. ## Critical model names Use one of these exact model strings: - `qvq-plus` - `qvq-max` ## Typical use - Mathematical reasoning from screenshots - Diagram and chart reasoning - Visually grounded multi-step problem solving ## Quick start ```bash python skills/ai/multimodal/aliyun-qvq/scripts/prepare_qvq_request.py \ --output output/aliyun-qvq/request.json ``` ## Notes - Use `skills/ai/multimodal/aliyun-qwen-vl/` for standard image understanding. - Use QVQ when the task explicitly needs stronger reasoning over visual evidence. ## References - `references/sources.md`