Agent skill

Aliyun Qwen Tts

A skill your agent uses when generating human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash, qwen3-tts-instruct-flash).

MITAuto-check passedMedia & Creative

Install Aliyun Qwen Tts

skills CLI

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

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

GitHub CLI

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

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-tts -a codex

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

GitHub CLI

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

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

GitHub CLI

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

--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-tts -a gemini-cli

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

GitHub CLI

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

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-tts -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/audio/aliyun-qwen-tts .github/skills/aliyun-qwen-tts && 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-tts" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-tts into .github/skills/aliyun-qwen-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-tts", 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-tts -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-tts --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/audio/aliyun-qwen-tts .opencode/skills/aliyun-qwen-tts && 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-tts" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/audio/aliyun-qwen-tts into .opencode/skills/aliyun-qwen-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-tts", 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-tts
GitHub stars: 397
Token cost: ~951 tokens
SKILL.md length: 279 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 human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash, qwen3-tts-instruct-flash).

Works in 4 steps: Confirm user intent, region,… → Run one minimal read-only query first to… → Execute the target operation with… → …
Generating human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash
SKILL.md covers Validation, Output And Evidence, Critical model names and Prerequisites, plus 7 more sections
Runs Python scripts from its folder; calls python and python3; reaches dashscope-intl.aliyuncs.com and dashscope.aliyuncs.com; needs DASHSCOPE_API_KEY

What it does

Aliyun Qwen Tts is an agent skill from cinience/alicloud-skills. Use when generating human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash, qwen3-tts-instruct-flash). Use when converting text to speech, producing voice lines for short drama/news videos, or documenting TTS request/response fields for DashScope.

Its SKILL.md is about 950 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 Text to speech and voice. 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

Generating human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash
Qwen3-tts-instruct-flash)
Converting text to speech
Producing voice lines for short drama/news videos

Example prompts

“/aliyun-qwen-tts”

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
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-intl.aliyuncs.com
- 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 Tts loads about 951 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 279 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~73
When it runs · the whole SKILL.md, loaded when a task matches: ~951
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.4k

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). 279 words, ~951 tokens.

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

name: aliyun-qwen-tts
description: Use when generating human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash, qwen3-tts-instruct-flash). Use when converting text to speech, producing voice lines for short drama/news videos, or documenting TTS request/response fields for DashScope.
version: 1.0.0

Category: provider

Model Studio Qwen TTS

Validation

bash

mkdir -p output/aliyun-qwen-tts
python -m py_compile skills/ai/audio/aliyun-qwen-tts/scripts/generate_tts.py && echo "py_compile_ok" > output/aliyun-qwen-tts/validate.txt

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

Output And Evidence

Save generated audio links, sample audio files, and request payloads to output/aliyun-qwen-tts/.
Keep one validation log per execution.

Critical model names

Use one of the recommended models:

qwen3-tts-flash
qwen3-tts-instruct-flash
qwen3-tts-instruct-flash-2026-01-26

Prerequisites

Install SDK (recommended in a venv to avoid PEP 668 limits):

bash

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

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials (env takes precedence).

Normalized interface (tts.generate)

Request

text (string, required)
voice (string, required)
language_type (string, optional; default Auto)
instruction (string, optional; recommended for instruct models)
stream (bool, optional; default false)

Response

audio_url (string, when stream=false)
audio_base64_pcm (string, when stream=true)
sample_rate (int, 24000)
format (string, wav or pcm depending on mode)

Quick start (Python + DashScope SDK)

python

import os
import dashscope

# Prefer env var for auth: export DASHSCOPE_API_KEY=...
# Or use ~/.alibabacloud/credentials with dashscope_api_key under [default].
# Beijing region; for Singapore use: https://dashscope-intl.aliyuncs.com/api/v1
dashscope.base_http_api_url = "https://dashscope.aliyuncs.com/api/v1"

text = "Hello, this is a short voice line."
response = dashscope.MultiModalConversation.call(
    model="qwen3-tts-instruct-flash",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    text=text,
    voice="Cherry",
    language_type="English",
    instruction="Warm and calm tone, slightly slower pace.",
    stream=False,
)

audio_url = response.output.audio.url
print(audio_url)

Streaming notes

stream=True returns Base64-encoded PCM chunks at 24kHz.
Decode chunks and play or concatenate to a pcm buffer.
The response contains finish_reason == "stop" when the stream ends.

Operational guidance

Keep requests concise; split long text into multiple calls if you hit size or timeout errors.
Use language_type consistent with the text to improve pronunciation.
Use instruction only when you need explicit style/tone control.
Cache by (text, voice, language_type) to avoid repeat costs.

Output location

Default output: output/aliyun-qwen-tts/audio/
Override base dir with OUTPUT_DIR.

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 parameter mapping and streaming example.
Realtime mode is provided by skills/ai/audio/aliyun-qwen-tts-realtime/.
Voice cloning/design are provided by skills/ai/audio/aliyun-qwen-tts-voice-clone/ and skills/ai/audio/aliyun-qwen-tts-voice-design/.
Source list: references/sources.md

Files

SKILL.md and 4 other files (scripts, references) in skills/ai/audio/aliyun-qwen-tts of cinience/alicloud-skills.

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

Open the folder on GitHubat commit 1818263

Compare with similar skills

Aliyun Qwen Tts 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 Tts compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Aliyun Qwen Tts this skillcinience/alicloud-skills	397	—	~951	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	8 days ago
Audio Ttssecond-state/qwen3_tts_rs	233	—	~1.6k	Automated safety check: Pass	None	4 mo ago
Qianwen Audio TtsQianWen-AI/qianwen-ai	105	—	~4.2k	Automated safety check: Notes	Apache-2.0	yesterday
Z Qwen Audio Studiotjxj/z-skills	548	—	~716	Automated safety check: Pass	None	19 days ago

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Works with

Questions about Aliyun Qwen Tts

What does Aliyun Qwen Tts do?

A skill your agent uses when generating human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash, qwen3-tts-instruct-flash). Aliyun Qwen Tts is an agent skill from cinience/alicloud-skills. Use when generating human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash, qwen3-tts-instruct-flash).

When should I use Aliyun Qwen Tts?

Aliyun Qwen Tts fits situations like: generating human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash; qwen3-tts-instruct-flash); converting text to speech; producing voice lines for short drama/news videos.

How do I install Aliyun Qwen Tts in Claude Code?

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

How do I install Aliyun Qwen Tts in Codex?

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

Can I use Aliyun Qwen Tts 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-tts -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-tts, .gemini/skills/aliyun-qwen-tts, .github/skills/aliyun-qwen-tts and .opencode/skills/aliyun-qwen-tts in your project.

What does Aliyun Qwen Tts need to run?

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

Does Aliyun Qwen Tts access the network?

SKILL.md names 2 domains. In commands or code: dashscope-intl.aliyuncs.com and dashscope.aliyuncs.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Aliyun Qwen Tts 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 Tts use?

Aliyun Qwen Tts 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 Tts use?

About 951 tokens (SKILL.md is roughly 3.8k 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 451 tokens, read only when the agent opens those files.

What are the alternatives to Aliyun Qwen Tts?

Skills that share tags, products or a category with Aliyun Qwen Tts: Bailian Media Generation (modelstudioai/cli, 542 stars), Dashscope (calesthio/OpenMontage, 66k stars), Audio Tts (second-state/qwen3_tts_rs, 233 stars) and Qianwen Audio Tts (QianWen-AI/qianwen-ai, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aliyun Qwen Tts?

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 Tts

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 TTS

Validation

Output And Evidence

Critical model names

Prerequisites

Normalized interface (tts.generate)

Request

Response

Quick start (Python + DashScope SDK)

Streaming notes

Operational guidance

Output location

Workflow

References

Files

Compare with similar skills

Similar skills

More from cinience/alicloud-skills

Related

Questions about Aliyun Qwen Tts