Agent skill

Aliyun Qwen Vl

A skill your agent uses when understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases).

MITAuto-check passedDocuments & Office

Install Aliyun Qwen Vl

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-vl --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai/multimodal/aliyun-qwen-vl .claude/skills/aliyun-qwen-vl && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "aliyun-qwen-vl" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/multimodal/aliyun-qwen-vl into .claude/skills/aliyun-qwen-vl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-vl", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/cinience/alicloud-skills/tree/main/skills/ai/multimodal/aliyun-qwen-vl

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-vl --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai/multimodal/aliyun-qwen-vl .agents/skills/aliyun-qwen-vl && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "aliyun-qwen-vl" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/multimodal/aliyun-qwen-vl into .agents/skills/aliyun-qwen-vl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-vl", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-vl --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai/multimodal/aliyun-qwen-vl .cursor/skills/aliyun-qwen-vl && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "aliyun-qwen-vl" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/multimodal/aliyun-qwen-vl into .cursor/skills/aliyun-qwen-vl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-vl", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/cinience/alicloud-skills.git --path skills/ai/multimodal/aliyun-qwen-vl

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-vl --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai/multimodal/aliyun-qwen-vl .gemini/skills/aliyun-qwen-vl && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "aliyun-qwen-vl" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/multimodal/aliyun-qwen-vl into .gemini/skills/aliyun-qwen-vl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-vl", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-vl

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai/multimodal/aliyun-qwen-vl .github/skills/aliyun-qwen-vl && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "aliyun-qwen-vl" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/multimodal/aliyun-qwen-vl into .github/skills/aliyun-qwen-vl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-vl", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-vl --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai/multimodal/aliyun-qwen-vl .opencode/skills/aliyun-qwen-vl && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "aliyun-qwen-vl" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/multimodal/aliyun-qwen-vl into .opencode/skills/aliyun-qwen-vl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-vl", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: aliyun-qwen-vl
GitHub stars: 397
Token cost: ~1.4k tokens
SKILL.md length: 404 words
Files: 6 (incl. scripts, references)
Skills in repo: 96
Repo updated: Aug 11, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases).

Works in 4 steps: Confirm user intent, region,… → Run one minimal read-only query first to… → Execute the target operation with… → …
Understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases)
SKILL.md covers Validation, Output And Evidence, Prerequisites and Critical model names, plus 9 more sections
Runs Python scripts from its folder; calls python, python3 and curl; reaches dashscope.aliyuncs.com; needs DASHSCOPE_API_KEY

What it does

Aliyun Qwen Vl is an agent skill from cinience/alicloud-skills. Use when understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases). Use when building image Q&A, visual analysis, OCR-like extraction, chart/table reading, or screenshot understanding workflows.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/api_reference.md` and `references/examples/invoice.schema.json`).

It sits in Documents & Office, covering Document parsing. It works with Qwen and Alibaba Cloud. The repository describes itself as: alibaba cloud skills，qwen ，wan and all skills. The licence is MIT.

When your agent uses it

Understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases)
Building image Q&A
Visual analysis
OCR-like extraction

Example prompts

“/aliyun-qwen-vl”

Requirements

Python 3
A credential in DASHSCOPE_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
Run one minimal read-only query first to verify connectivity and permissions.
Execute the target operation with explicit parameters and bounded scope.
Verify results and save output/evidence files.

What it can do on your machine

Read from SKILL.md and the folder at commit 1818263. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
- python3
- curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- dashscope.aliyuncs.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- DASHSCOPE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aliyun Qwen Vl loads about 1.4k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 404 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~67
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from cinience/alicloud-skills at commit 1818263, republished under its MIT licence (© cinience). 404 words, ~1,425 tokens.

Download SKILL.mdSave it as .claude/skills/aliyun-qwen-vl/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.

name: aliyun-qwen-vl
description: Use when understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases). Use when building image Q&A, visual analysis, OCR-like extraction, chart/table reading, or screenshot understanding workflows.
version: 1.0.0

Category: provider

Model Studio Qwen VL (Image Understanding)

Validation

bash

mkdir -p output/aliyun-qwen-vl
python -m py_compile skills/ai/multimodal/aliyun-qwen-vl/scripts/analyze_image.py && echo "py_compile_ok" > output/aliyun-qwen-vl/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-vl/validate.txt is generated.

Output And Evidence

Save raw model responses and normalized extraction results to output/aliyun-qwen-vl/.
Include input image reference and prompt for traceability.

Use Qwen VL models for image input + text output understanding tasks via DashScope compatible-mode API.

Prerequisites

Install dependencies (recommended in a venv):

bash

python3 -m venv .venv
. .venv/bin/activate
python -m pip install requests

Set DASHSCOPE_API_KEY in environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Critical model names

Prefer the Qwen3 VL family:

qwen3-vl-plus
qwen3-vl-flash

When you need explicit "latest" routing or reproducible snapshots, use supported aliases/snapshots from the official model list, such as:

qwen3-vl-plus-latest
qwen3-vl-plus-2025-12-19
qwen3-vl-flash-2026-01-22
qwen3-vl-flash-latest

Legacy names still seen in some workloads:

qwen-vl-max-latest
qwen-vl-plus-latest

For OCR-specialized extraction, prefer skills/ai/multimodal/aliyun-qwen-ocr/ instead of using the general VL skill.

Normalized interface (multimodal.chat)

Request

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.

Response

text (string): primary model answer.
model (string): model actually used.
usage (object): token usage if returned by backend.

Quickstart

bash

python skills/ai/multimodal/aliyun-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:

bash

python skills/ai/multimodal/aliyun-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):

bash

python skills/ai/multimodal/aliyun-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):

bash

python skills/ai/multimodal/aliyun-qwen-vl/scripts/analyze_image.py \
  --request '{"prompt":"Extract invoice fields","image":"./samples/invoice.png"}' \
  --schema skills/ai/multimodal/aliyun-qwen-vl/references/examples/invoice.schema.json \
  --print-response

cURL (compatible mode)

bash

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
  }'

Show full SKILL.md (170 more words)Show less

Output location

If --output is set, JSON response is saved to that file.
Default output dir convention: output/aliyun-qwen-vl/.

Smoke test

bash

python tests/ai/multimodal/aliyun-qwen-vl-test/scripts/smoke_test_qwen_vl.py \
  --image ./tmp/vl_test_cat.png

Error handling

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.

Operational guidance

For stable production behavior, pin snapshot model IDs instead of pure -latest.
Compress very large images before upload to reduce latency and cost.
Add explicit extraction constraints in prompt (fields, JSON shape, language).
For OCR-like output, ask for confidence notes and unresolved text markers.

Workflow

Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
Run one minimal read-only query first to verify connectivity and permissions.
Execute the target operation with explicit parameters and bounded scope.
Verify results and save output/evidence files.

References

Source list: references/sources.md
API notes: references/api_reference.md

Files

SKILL.md and 5 other files (scripts, references) in skills/ai/multimodal/aliyun-qwen-vl of cinience/alicloud-skills.

SKILL.md
agents/openai.yaml
references/api_reference.md
references/examples/invoice.schema.json
references/sources.md
scripts/analyze_image.py

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Qwen Vl next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aliyun Qwen Vl compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Aliyun Qwen Vl this skillcinience/alicloud-skills	397	—	~1.4k	Automated safety check: Pass	MIT	2 mo ago
Bailian Media Generationmodelstudioai/cli	542	—	~2k	Automated safety check: Pass	Apache-2.0	2 days ago
Dashscopecalesthio/OpenMontage	66k	—	~1.5k	Automated safety check: Notes	AGPL-3.0	7 days ago
DOCX ToolkitXiaomiMiMo/MiMo-Code	14k	—	~2.4k	Automated safety check: Pass	Apache-2.0	2 days ago
Office File Processxstongxue/best-skills	3k	—	~1.8k	Automated safety check: Pass	Proprietary	28 days ago
PDF ToolkitXiaomiMiMo/MiMo-Code	14k	—	~1.7k	Automated safety check: Pass	Apache-2.0	2 days ago

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Works with

Questions about Aliyun Qwen Vl

What does Aliyun Qwen Vl do?

A skill your agent uses when understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases). Aliyun Qwen Vl is an agent skill from cinience/alicloud-skills. Use when understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases).

When should I use Aliyun Qwen Vl?

Aliyun Qwen Vl fits situations like: understanding images with Alibaba Cloud Model Studio Qwen VL models (qwen3-vl-plus/qwen3-vl-flash and latest aliases); building image Q&A; visual analysis; OCR-like extraction.

How do I install Aliyun Qwen Vl in Claude Code?

Run `npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a claude-code`. Or copy the skill folder (skills/ai/multimodal/aliyun-qwen-vl in cinience/alicloud-skills) into .claude/skills/aliyun-qwen-vl in your project. Claude Code loads it when a task matches its description.

How do I install Aliyun Qwen Vl in Codex?

Run `npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a codex`. Or copy the skill folder (skills/ai/multimodal/aliyun-qwen-vl in cinience/alicloud-skills) into .agents/skills/aliyun-qwen-vl in your project. Codex loads it when a task matches its description.

Can I use Aliyun Qwen Vl in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cinience/alicloud-skills --skill aliyun-qwen-vl -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aliyun-qwen-vl, .gemini/skills/aliyun-qwen-vl, .github/skills/aliyun-qwen-vl and .opencode/skills/aliyun-qwen-vl in your project.

What does Aliyun Qwen Vl need to run?

Going by SKILL.md and its folder, Aliyun Qwen Vl needs Python for the scripts in its folder, the command-line tools its instructions call (python, python3 and curl) and credentials named DASHSCOPE_API_KEY. Our summary lists: Python 3; A credential in DASHSCOPE_API_KEY.

Does Aliyun Qwen Vl access the network?

SKILL.md names 1 domain. In commands or code: dashscope.aliyuncs.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Aliyun Qwen Vl safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Aliyun Qwen Vl use?

Aliyun Qwen Vl is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aliyun Qwen Vl use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 562 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Qwen Vl?

Skills that share tags, products or a category with Aliyun Qwen Vl: Bailian Media Generation (modelstudioai/cli, 542 stars), Dashscope (calesthio/OpenMontage, 66k stars), DOCX Toolkit (XiaomiMiMo/MiMo-Code, 14k stars) and Office File Process (xstongxue/best-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aliyun Qwen Vl?

cinience (a GitHub user) maintains it in cinience/alicloud-skills, which has 397 GitHub stars. The repository holds 96 skills in this directory. The repository was last updated on August 11, 2026.

Source: cinience/alicloud-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Aliyun Qwen Vl

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Model Studio Qwen VL (Image Understanding)

Validation

Output And Evidence

Prerequisites

Critical model names

Normalized interface (multimodal.chat)

Request

Response

Quickstart

cURL (compatible mode)

Output location

Smoke test

Error handling

Operational guidance

Workflow

References

Files

Compare with similar skills

Similar skills

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Related

Questions about Aliyun Qwen Vl