/aliyun-qwen-text-embedding

Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.

BOOST

cinience@cinience

GitHub

From plugin

alicloud-skills

39799 skills

Install

$ npx -y skills add cinience/alicloud-skills --skill aliyun-qwen-text-embedding --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/aliyun-qwen-text-embedding

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.

SKILL.md

aliyun-qwen-text-embedding.SKILL.md

name: aliyun-qwen-text-embedding
description: Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.
version: 1.0.0

Category: provider

Model Studio Text Embedding

Validation

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

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

Critical model names

Use one of these exact model strings as needed:

`text-embedding-v4`
`text-embedding-v3`
`text-embedding-v2`
`text-embedding-v1`
`qwen3-embedding-8b`
`qwen3-embedding-4b`
`qwen3-embedding-0.6b`

Quick start

python skills/ai/search/aliyun-qwen-text-embedding/scripts/prepare_embedding_request.py \
  --text "Alibaba Cloud Model Studio" \
  --output output/aliyun-qwen-text-embedding/request.json

Notes

Pair this skill with `skills/ai/search/aliyun-dashvector-search/` or other vector-store skills.
For image or multimodal embeddings, add dedicated multimodal embedding coverage separately.