cinience/alicloud-skills/aliyun-qvq

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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.

Install

npx vskill@latest install cinience/alicloud-skills/aliyun-qvq

SKILL.md

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

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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Quality evaluation

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Source

Popularity

Repository stars
396
Repository forks
34
7-day trend score
30

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 9 Aug 2026, 2 months ago.

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