Agent skill

Aliyun Qwen Multimodal Embedding

A skill your agent uses when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as qwen3-vl-embedding for image, video, and text retrieval, cross-modal search, clustering…

MITAuto-check passedAI & LLM Engineering

Install Aliyun Qwen Multimodal Embedding

skills CLI

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

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

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-multimodal-embedding --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/search/aliyun-qwen-multimodal-embedding .claude/skills/aliyun-qwen-multimodal-embedding && 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-multimodal-embedding" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/search/aliyun-qwen-multimodal-embedding into .claude/skills/aliyun-qwen-multimodal-embedding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-multimodal-embedding", 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/search/aliyun-qwen-multimodal-embedding

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-multimodal-embedding -a codex

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

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-multimodal-embedding --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/search/aliyun-qwen-multimodal-embedding .agents/skills/aliyun-qwen-multimodal-embedding && 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-multimodal-embedding" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/search/aliyun-qwen-multimodal-embedding into .agents/skills/aliyun-qwen-multimodal-embedding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-multimodal-embedding", 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-multimodal-embedding -a cursor

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

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-multimodal-embedding --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/search/aliyun-qwen-multimodal-embedding .cursor/skills/aliyun-qwen-multimodal-embedding && 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-multimodal-embedding" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/search/aliyun-qwen-multimodal-embedding into .cursor/skills/aliyun-qwen-multimodal-embedding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-multimodal-embedding", 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/search/aliyun-qwen-multimodal-embedding

--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-multimodal-embedding -a gemini-cli

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

GitHub CLI

$ gh skill install cinience/alicloud-skills aliyun-qwen-multimodal-embedding --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/search/aliyun-qwen-multimodal-embedding .gemini/skills/aliyun-qwen-multimodal-embedding && 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-multimodal-embedding" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/search/aliyun-qwen-multimodal-embedding into .gemini/skills/aliyun-qwen-multimodal-embedding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-multimodal-embedding", 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-multimodal-embedding

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-multimodal-embedding -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/search/aliyun-qwen-multimodal-embedding .github/skills/aliyun-qwen-multimodal-embedding && 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-multimodal-embedding" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/search/aliyun-qwen-multimodal-embedding into .github/skills/aliyun-qwen-multimodal-embedding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-multimodal-embedding", 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-multimodal-embedding -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-multimodal-embedding --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/search/aliyun-qwen-multimodal-embedding .opencode/skills/aliyun-qwen-multimodal-embedding && 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-multimodal-embedding" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/search/aliyun-qwen-multimodal-embedding into .opencode/skills/aliyun-qwen-multimodal-embedding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-multimodal-embedding", 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-multimodal-embedding
GitHub stars: 397
Token cost: ~751 tokens
SKILL.md length: 249 words
Files: 4 (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 multimodal embeddings are needed from Alibaba Cloud Model Studio models such as qwen3-vl-embedding for image, video, and text retrieval, cross-modal search, clustering…

Multimodal embeddings are needed from Alibaba Cloud Model Studio models such as qwen3-vl-embedding for image
SKILL.md covers Validation, Output And Evidence, Critical model names and Prerequisites, plus 5 more sections
Runs Python scripts from its folder; calls python; needs DASHSCOPE_API_KEY
Cross-modal search

What it does

Aliyun Qwen Multimodal Embedding is an agent skill from cinience/alicloud-skills. Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as qwen3-vl-embedding for image, video, and text retrieval, cross-modal search, clustering, or offline vectorization pipelines.

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/sources.md` and `scripts/prepare_multimodal_embedding_request.py`).

It sits in AI & LLM Engineering, covering Embeddings. 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

Multimodal embeddings are needed from Alibaba Cloud Model Studio models such as qwen3-vl-embedding for image
Cross-modal search
Offline vectorization pipelines

Example prompts

“/aliyun-qwen-multimodal-embedding”

Requirements

Python 3
A credential in DASHSCOPE_API_KEY

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
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 Multimodal Embedding loads about 751 tokens when it runs, and up to ~817 if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 249 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~62
When it runs · the whole SKILL.md, loaded when a task matches: ~751
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~817

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). 249 words, ~751 tokens.

Download SKILL.mdSave it as .claude/skills/aliyun-qwen-multimodal-embedding/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: aliyun-qwen-multimodal-embedding
description: Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as `qwen3-vl-embedding` for image, video, and text retrieval, cross-modal search, clustering, or offline vectorization pipelines.
version: 1.0.0

Category: provider

Model Studio Multimodal Embedding

Validation

bash

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

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

Output And Evidence

Save normalized request payloads, selected dimensions, and sample input references under output/aliyun-qwen-multimodal-embedding/.
Record the exact model, modality mix, and output vector dimension for reproducibility.

Use this skill when the task needs text, image, or video embeddings from Model Studio for retrieval or similarity workflows.

Critical model names

Use one of these exact model strings as needed:

qwen3-vl-embedding
qwen2.5-vl-embedding
tongyi-embedding-vision-plus-2026-03-06

Selection guidance:

Prefer qwen3-vl-embedding for the newest multimodal embedding path.
Use qwen2.5-vl-embedding when you need compatibility with an older deployed pipeline.

Prerequisites

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Pair this skill with a vector store such as DashVector, OpenSearch, or Milvus when building retrieval systems.

Normalized interface (embedding.multimodal)

Request

model (string, optional): default qwen3-vl-embedding
texts (array<string>, optional)
images (array<string>, optional): public URLs or local paths uploaded by your client layer
videos (array<string>, optional): public URLs where supported
dimension (int, optional): e.g. 2560, 2048, 1536, 1024, 768, 512, 256 for qwen3-vl-embedding

Response

embeddings (array<object>)
dimension (int)
usage (object, optional)

Quick start

bash

python skills/ai/search/aliyun-qwen-multimodal-embedding/scripts/prepare_multimodal_embedding_request.py \
  --text "A cat sitting on a red chair" \
  --image "https://example.com/cat.jpg" \
  --dimension 1024

Operational guidance

Keep input.contents as an array; malformed shapes are a common 400 cause.
Pin the output dimension to match your index schema before writing vectors.
Use the same model and dimension across one vector index to avoid mixed-vector incompatibility.
For large image or video batches, stage files in object storage and reference stable URLs.

Output location

Default output: output/aliyun-qwen-multimodal-embedding/request.json
Override base dir with OUTPUT_DIR.

References

references/sources.md

Files

SKILL.md and 3 other files (scripts, references) in skills/ai/search/aliyun-qwen-multimodal-embedding of cinience/alicloud-skills.

SKILL.md
agents/openai.yaml
references/sources.md
scripts/prepare_multimodal_embedding_request.py

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Qwen Multimodal Embedding 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 Multimodal Embedding compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Aliyun Qwen Multimodal Embedding this skillcinience/alicloud-skills	397	—	~751	Automated safety check: Pass	MIT	2 mo ago
Openrouter EmbeddingsQinghongLin/data2story-skill	155	—	~499	Automated safety check: Pass	MIT	3 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
AI SDKvercel-labs/ai-facts	168	20 repos	~1.2k	Automated safety check: Pass	None	5 mo ago
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs	13k	7 repos	~2.3k	Automated safety check: Pass	MIT	3 mo ago

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Works with

Questions about Aliyun Qwen Multimodal Embedding

What does Aliyun Qwen Multimodal Embedding do?

A skill your agent uses when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as qwen3-vl-embedding for image, video, and text retrieval, cross-modal search, clustering…. Aliyun Qwen Multimodal Embedding is an agent skill from cinience/alicloud-skills. Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as qwen3-vl-embedding for image, video, and text retrieval, cross-modal search, clustering, or offline vectorization pipelines.

When should I use Aliyun Qwen Multimodal Embedding?

Aliyun Qwen Multimodal Embedding fits situations like: multimodal embeddings are needed from Alibaba Cloud Model Studio models such as qwen3-vl-embedding for image; cross-modal search; offline vectorization pipelines.

How do I install Aliyun Qwen Multimodal Embedding in Claude Code?

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

How do I install Aliyun Qwen Multimodal Embedding in Codex?

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

Can I use Aliyun Qwen Multimodal Embedding 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-multimodal-embedding -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-multimodal-embedding, .gemini/skills/aliyun-qwen-multimodal-embedding, .github/skills/aliyun-qwen-multimodal-embedding and .opencode/skills/aliyun-qwen-multimodal-embedding in your project.

What does Aliyun Qwen Multimodal Embedding need to run?

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

Does Aliyun Qwen Multimodal Embedding access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Aliyun Qwen Multimodal Embedding 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 Multimodal Embedding use?

Aliyun Qwen Multimodal Embedding 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 Multimodal Embedding use?

About 751 tokens (SKILL.md is roughly 3k 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 66 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Qwen Multimodal Embedding?

Skills that share tags, products or a category with Aliyun Qwen Multimodal Embedding: Openrouter Embeddings (QinghongLin/data2story-skill, 155 stars), Bailian Media Generation (modelstudioai/cli, 542 stars), Dashscope (calesthio/OpenMontage, 66k stars) and AI SDK (vercel-labs/ai-facts, 168 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aliyun Qwen Multimodal Embedding?

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 Multimodal Embedding

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Model Studio Multimodal Embedding

Validation

Output And Evidence

Critical model names

Prerequisites

Normalized interface (embedding.multimodal)

Request

Response

Quick start

Operational guidance

Output location

References

Files

Compare with similar skills

Similar skills

More from cinience/alicloud-skills

Related

Questions about Aliyun Qwen Multimodal Embedding