Aliyun Qwen VL

Aliyun Qwen VL

An open-source Agent Skill wrapping Alibaba Cloud Model Studio Qwen VL models for image Q&A, OCR-style extraction, and chart understanding.

Aliyun Qwen VL is a multimodal vision skill from the open-source alicloud-skills project. It wraps Alibaba Cloud Model Studio's Qwen vision-language models into a reusable Agent Skill for image Q&A, visual analysis, OCR-style extraction, chart and table reading, and screenshot understanding. The skill ships with a standard SKILL.md structure, ready-to-run Python scripts, request examples, and reference docs, and can be installed into any Agent Skills-compatible tool such as Claude Code or OpenCode with a single command.

Key Features

  • Image understanding: pass an image URL, local path, or data URL with a natural-language prompt and get a grounded summary or answer.
  • Structured extraction: JSON mode and JSON Schema constraints let you pull fields from invoices, forms, and charts into machine-readable output.
  • Normalized interface: an analyze_image.py script with a unified request/response format (prompt + image in, text + usage out) hides DashScope compatible-mode API details.
  • Model selection: defaults to qwen3-vl-plus, switchable to faster options like qwen3-vl-flash, with pinned snapshot versions for reproducibility.
  • Production details: exponential-backoff retries for 429/5xx, output and evidence files on disk, and guidance for compressing large images.

Highlights

  • Standard skill format: follows the Agent Skills directory layout (SKILL.md + scripts + references), installable into any compatible agent via one npx command.
  • Ready to run: works with just a DASHSCOPE_API_KEY, with quickstart commands, cURL examples, and smoke tests included.
  • Strong on Chinese documents: powered by Qwen VL models, well suited to Chinese receipts, reports, and UI screenshots.
  • Composable: sits alongside OCR, video generation, and cloud-management skills in the same repo for building full cloud AI agent workflows.

Best For

  • Individuals and teams who need AI assistants to read screenshots, reports, invoices, and charts.
  • Developers embedding image-understanding nodes in agent workflows such as auto-review, document intake, and chart interpretation.
  • Engineering teams building multimodal apps on Alibaba Cloud Model Studio who want standardized, reusable skill packages.
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