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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionalicloud-ai-multimodal-qwen-vlExecute the skills CLI command in your project's root directory to begin installation:
Fetches alicloud-ai-multimodal-qwen-vl from cinience/alicloud-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate alicloud-ai-multimodal-qwen-vl. Access via /alicloud-ai-multimodal-qwen-vl in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Category: provider
mkdir -p output/alicloud-ai-multimodal-qwen-vl
python -m py_compile skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl/scripts/analyze_image.py && echo "py_compile_ok" > output/alicloud-ai-multimodal-qwen-vl/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-multimodal-qwen-vl/validate.txt is generated.
output/alicloud-ai-multimodal-qwen-vl/.Use Qwen VL models for image input + text output understanding tasks via DashScope compatible-mode API.
python3 -m venv .venv
. .venv/bin/activate
python -m pip install requests
DASHSCOPE_API_KEY in environment, or add dashscope_api_key to ~/.alibabacloud/credentials.Prefer the Qwen3 VL family:
qwen3-vl-plusqwen3-vl-flashWhen you need explicit "latest" routing or reproducible snapshots, use supported aliases/snapshots from the official model list, such as:
qwen3-vl-plus-latestqwen3-vl-plus-2025-12-19qwen3-vl-flash-2026-01-22qwen3-vl-flash-latestLegacy names still seen in some workloads:
qwen-vl-max-latestqwen-vl-plus-latestFor OCR-specialized extraction, prefer skills/ai/multimodal/alicloud-ai-multimodal-qwen-ocr/ instead of using the general VL skill.
prompt (string, required): user question/instruction about image.image (string, required): HTTPS URL, local path, or data: URL.model (string, optional): default qwen3-vl-plus.max_tokens (int, optional): default 512.temperature (float, optional): default 0.2.detail (string, optional): auto/low/high, default auto.json_mode (bool, optional): return JSON-only response when possible.schema (object, optional): JSON Schema for structured extraction.max_retries (int, optional): retry count for 429/5xx, default 2.retry_backoff_s (float, optional): exponential backoff base seconds, default 1.5.text (string): primary model answer.model (string): model actually used.usage (object): token usage if returned by backend.python skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl/scripts/analyze_image.py \
--request '{"prompt":"Summarize the main content in this image","image":"https://example.com/demo.jpg"}' \
--print-response
Using local image:
python skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl/scripts/analyze_image.py \
--request '{"prompt":"Extract key information from the image","image":"./samples/invoice.png","model":"qwen3-vl-plus"}' \
--print-response
Structured extraction (JSON mode):
python skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl/scripts/analyze_image.py \
--request '{"prompt":"Extract fields: title, amount, date","image":"./samples/invoice.png"}' \
--json-mode \
--print-response
Structured extraction (JSON Schema):
python skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl/scripts/analyze_image.py \
--request '{"prompt":"Extract invoice fields","image":"./samples/invoice.png"}' \
--schema skills/ai/multimodal/alicloud-ai-multimodal-qwen-vl/references/examples/invoice.schema.json \
--print-response
curl -sS https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model":"qwen3-vl-plus",
"messages":[
{
"role":"user",
"content":[
{"type":"image_url","image_url":{"url":"https://example.com/demo.jpg"}},
{"type":"text","text":"Describe this image and list executable actions"}
]
}
],
"max_tokens":512,
"temperature":0.2
}'
--output is set, JSON response is saved to that file.output/alicloud-ai-multimodal-qwen-vl/.python tests/ai/multimodal/alicloud-ai-multimodal-qwen-vl-test/scripts/smoke_test_qwen_vl.py \
--image ./tmp/vl_test_cat.png
| Error | Likely cause | Action |
|---|---|---|
| 401/403 | Missing or invalid key | Check DASHSCOPE_API_KEY and account permissions. |
| 400 | Invalid request schema or unsupported image source | Validate messages content and image URL/path format. |
| 429 | Rate limit | Retry with exponential backoff and lower concurrency. |
| 5xx | Temporary backend issue | Retry with backoff and idempotent request design. |
-latest.references/sources.mdreferences/api_reference.mdPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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alicloud-ai-multimodal-qwen-vl has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: alicloud-ai-multimodal-qwen-vl is focused, and the summary matches what you get after install.
Useful defaults in alicloud-ai-multimodal-qwen-vl — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
alicloud-ai-multimodal-qwen-vl has been reliable in day-to-day use. Documentation quality is above average for community skills.
alicloud-ai-multimodal-qwen-vl reduced setup friction for our internal harness; good balance of opinion and flexibility.
alicloud-ai-multimodal-qwen-vl is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
alicloud-ai-multimodal-qwen-vl fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: alicloud-ai-multimodal-qwen-vl is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added alicloud-ai-multimodal-qwen-vl from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for alicloud-ai-multimodal-qwen-vl matched our evaluation — installs cleanly and behaves as described in the markdown.
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