# Aliyun Qvq

> 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.

- Skill: `cinience/aliyun-qvq` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add cinience/aliyun-qvq`
- Raw SKILL.md: https://api.skillmd.com/api/skills/cinience/aliyun-qvq/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: cinience (https://skillmd.com/u/cinience)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/cinience/aliyun-qvq

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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`