Agent skill

Aliyun Zimage Turbo

A skill your agent uses when generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API.

MITAuto-check passedMedia & Creative

Install Aliyun Zimage Turbo

skills CLI

$ npx skills add cinience/alicloud-skills --skill aliyun-zimage-turbo -a claude-code

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

GitHub CLI

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

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-zimage-turbo -a codex

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

GitHub CLI

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

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

GitHub CLI

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

--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-zimage-turbo -a gemini-cli

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

GitHub CLI

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

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-zimage-turbo -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/image/aliyun-zimage-turbo .github/skills/aliyun-zimage-turbo && 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-zimage-turbo" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/image/aliyun-zimage-turbo into .github/skills/aliyun-zimage-turbo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-zimage-turbo", 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-zimage-turbo -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-zimage-turbo --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/image/aliyun-zimage-turbo .opencode/skills/aliyun-zimage-turbo && 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-zimage-turbo" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/image/aliyun-zimage-turbo into .opencode/skills/aliyun-zimage-turbo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-zimage-turbo", 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-zimage-turbo
GitHub stars: 397
Token cost: ~863 tokens
SKILL.md length: 241 words
Files: 5 (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 generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API.

Works in 4 steps: Confirm user intent, region,… → Run one minimal read-only query first to… → Execute the target operation with… → …
Generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API
SKILL.md covers Critical model name, Prerequisites, Normalized interface… and Quick start (curl), plus 8 more sections
Runs Python scripts from its folder; calls curl, python and python3; reaches dashscope.aliyuncs.com; needs DASHSCOPE_API_KEY

What it does

Aliyun Zimage Turbo is an agent skill from cinience/alicloud-skills. Use when generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API. Use when creating text-to-image outputs, controlling size/seed/promptextend, or documenting request/response mapping for Z-Image.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/api_reference.md` and `references/sources.md`).

It sits in Media & Creative, covering Image generation. It works with Alibaba Cloud. The repository describes itself as: alibaba cloud skills，qwen ，wan and all skills. The licence is MIT.

When your agent uses it

Generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API
Creating text-to-image outputs
Controlling size/seed/promptextend
Documenting request/response mapping for Z-Image

Example prompts

“/aliyun-zimage-turbo”

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:
- curl
- python
- python3
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 Zimage Turbo loads about 863 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 241 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~70
When it runs · the whole SKILL.md, loaded when a task matches: ~863
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.3k

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). 241 words, ~863 tokens.

Download SKILL.mdSave it as .claude/skills/aliyun-zimage-turbo/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: aliyun-zimage-turbo
description: Use when generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API. Use when creating text-to-image outputs, controlling size/seed/prompt_extend, or documenting request/response mapping for Z-Image.
version: 1.0.0

Category: provider

Model Studio Z-Image Turbo

Use Z-Image Turbo for fast text-to-image generation via the DashScope multimodal-generation API.

Critical model name

Use ONLY this exact model string:

z-image-turbo

Prerequisites

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials (env takes precedence).
Choose region endpoint (Beijing or Singapore). If unsure, pick the most reasonable region or ask the user.

Normalized interface (image.generate)

Request

prompt (string, required)
size (string, optional) e.g. 1024*1024
seed (int, optional)
prompt_extend (bool, optional; default false)
base_url (string, optional) override API endpoint

Response

image_url (string)
width (int)
height (int)
prompt (string)
rewritten_prompt (string, optional)
reasoning (string, optional)
request_id (string)

Quick start (curl)

bash

curl -sS 'https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
  -H 'Content-Type: application/json' \
  -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
  -d '{
    "model": "z-image-turbo",
    "input": {
      "messages": [
        {
          "role": "user",
          "content": [{"text": "A calm lake at dawn, a lone angler casting a line, cinematic lighting"}]
        }
      ]
    },
    "parameters": {
      "size": "1024*1024",
      "prompt_extend": false
    }
  }'

Local helper script

bash

python skills/ai/image/aliyun-zimage-turbo/scripts/generate_image.py \
  --request '{"prompt":"a fishing scene at dawn, cinematic, realistic","size":"1024*1024"}' \
  --output output/ai-image-zimage-turbo/images/fishing.png \
  --print-response

Size notes

Total pixels must be between 512*512 and 2048*2048.
Prefer common sizes like 1024*1024, 1280*720, 1536*864.

Cost note

prompt_extend=true is billed higher than false. Only enable when you need rewritten prompts.

Output location

Default output: output/ai-image-zimage-turbo/images/
Override base dir with OUTPUT_DIR.

Validation

bash

mkdir -p output/aliyun-zimage-turbo
for f in skills/ai/image/aliyun-zimage-turbo/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-zimage-turbo/validate.txt

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

Output And Evidence

Save artifacts, command outputs, and API response summaries under output/aliyun-zimage-turbo/.
Include key parameters (region/resource id/time range) in evidence files for reproducibility.

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

references/api_reference.md for request/response schema and regional endpoints.
references/sources.md for official docs.

Files

SKILL.md and 4 other files (scripts, references) in skills/ai/image/aliyun-zimage-turbo of cinience/alicloud-skills.

SKILL.md
agents/openai.yaml
references/api_reference.md
references/sources.md
scripts/generate_image.py

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Zimage Turbo 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 Zimage Turbo compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Aliyun Zimage Turbo this skillcinience/alicloud-skills	397	—	~863	Automated safety check: Pass	MIT	2 mo ago
Image GenerationQwenLM/qwen-code-examples	143	—	~568	Automated safety check: Pass	MIT	4 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 Image Generation and Editingzhayujie/CowAgent	47k	—	~1.3k	Automated safety check: Pass	MIT	yesterday
Structured Image Generationbytedance/deer-flow	84k	4 repos	~2.9k	Automated safety check: Pass	MIT	today

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Works with

Alibaba Cloud

Questions about Aliyun Zimage Turbo

What does Aliyun Zimage Turbo do?

A skill your agent uses when generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API. Aliyun Zimage Turbo is an agent skill from cinience/alicloud-skills. Use when generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API.

When should I use Aliyun Zimage Turbo?

Aliyun Zimage Turbo fits situations like: generating images with Alibaba Cloud Model Studio Z-Image Turbo (z-image-turbo) via DashScope multimodal-generation API; creating text-to-image outputs; controlling size/seed/promptextend; documenting request/response mapping for Z-Image.

How do I install Aliyun Zimage Turbo in Claude Code?

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

How do I install Aliyun Zimage Turbo in Codex?

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

Can I use Aliyun Zimage Turbo 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-zimage-turbo -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-zimage-turbo, .gemini/skills/aliyun-zimage-turbo, .github/skills/aliyun-zimage-turbo and .opencode/skills/aliyun-zimage-turbo in your project.

What does Aliyun Zimage Turbo need to run?

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

Does Aliyun Zimage Turbo 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 Zimage Turbo 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 Zimage Turbo use?

Aliyun Zimage Turbo 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 Zimage Turbo use?

About 863 tokens (SKILL.md is roughly 3.5k 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 397 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Zimage Turbo?

Skills that share tags, products or a category with Aliyun Zimage Turbo: Image Generation (QwenLM/qwen-code-examples, 143 stars), Bailian Media Generation (modelstudioai/cli, 542 stars), Dashscope (calesthio/OpenMontage, 66k stars) and AI Image Generation and Editing (zhayujie/CowAgent, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aliyun Zimage Turbo?

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 Zimage Turbo

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 Z-Image Turbo

Critical model name

Prerequisites

Normalized interface (image.generate)

Request

Response

Quick start (curl)

Local helper script

Size notes

Cost note

Output location

Validation

Output And Evidence

Workflow

References

Files

Compare with similar skills

Similar skills

More from cinience/alicloud-skills

Related

Questions about Aliyun Zimage Turbo