How do I install the Aliyun Qwen Asr Realtime skill?

Run npx skillmds@latest add cinience/aliyun-qwen-asr-realtime in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Aliyun Qwen Asr Realtime safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Aliyun Qwen Asr Realtime?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Aliyun Qwen Asr Realtime free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Aliyun Qwen Asr Realtime?

cinience (@cinience) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Aliyun Qwen Asr Realtime by cinience

Name: Aliyun Qwen Asr Realtime
Rating: 4.2 (5 reviews)
Author: cinience

File contents

Category: provider

Model Studio Qwen ASR Realtime

Validation

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

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

Output And Evidence

Save session payloads and response samples under output/aliyun-qwen-asr-realtime/.

Critical model names

Use one of these exact model strings:

qwen3-asr-flash-realtime
qwen3-asr-flash-realtime-2026-02-10

Use cases

Realtime subtitles and captions
Voice-agent duplex input
Streaming speech-to-text in browser or terminal clients

Prerequisites

Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Realtime sessions generally require WebSocket or streaming session handling in the client.

Normalized interface (asr.realtime)

Request

model (string, optional): default qwen3-asr-flash-realtime
language_hints (array, optional)
format (string, optional): e.g. pcm, wav
sample_rate (int, optional): e.g. 16000
chunk_ms (int, optional): frame size in milliseconds

Response

text (string): recognized transcript fragment
is_final (bool): finalization marker
usage (object, optional)

Quick start

Generate a request template:

python skills/ai/audio/aliyun-qwen-asr-realtime/scripts/prepare_realtime_asr_request.py \
  --output output/aliyun-qwen-asr-realtime/request.json

Operational guidance

Prefer 16kHz mono PCM unless your client stack requires another format.
Keep chunks small enough for responsive partial results.
If you only have recorded files, use skills/ai/audio/aliyun-qwen-asr/ instead.

References

references/sources.md

---name: aliyun-qwen-asr-realtimedescription: Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, live captions, or duplex voice agents.--- Category: provider # Model Studio Qwen ASR Realtime ## Validation ```bash mkdir -p output/aliyun-qwen-asr-realtime python -m py_compile skills/ai/audio/aliyun-qwen-asr-realtime/scripts/prepare_realtime_asr_request.py && echo "py_compile_ok" > output/aliyun-qwen-asr-realtime/validate.txt ``` Pass criteria: command exits 0 and `output/aliyun-qwen-asr-realtime/validate.txt` is generated. ## Output And Evidence - Save session payloads and response samples under `output/aliyun-qwen-asr-realtime/`. ## Critical model names Use one of these exact model strings: - `qwen3-asr-flash-realtime` - `qwen3-asr-flash-realtime-2026-02-10` ## Use cases - Realtime subtitles and captions - Voice-agent duplex input - Streaming speech-to-text in browser or terminal clients ## Prerequisites - Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials`. - Realtime sessions generally require WebSocket or streaming session handling in the client. ## Normalized interface (asr.realtime) ### Request - `model` (string, optional): default `qwen3-asr-flash-realtime` - `language_hints` (array<string>, optional) - `format` (string, optional): e.g. `pcm`, `wav` - `sample_rate` (int, optional): e.g. `16000` - `chunk_ms` (int, optional): frame size in milliseconds ### Response - `text` (string): recognized transcript fragment - `is_final` (bool): finalization marker - `usage` (object, optional) ## Quick start Generate a request template: ```bash python skills/ai/audio/aliyun-qwen-asr-realtime/scripts/prepare_realtime_asr_request.py \ --output output/aliyun-qwen-asr-realtime/request.json ``` ## Operational guidance - Prefer 16kHz mono PCM unless your client stack requires another format. - Keep chunks small enough for responsive partial results. - If you only have recorded files, use `skills/ai/audio/aliyun-qwen-asr/` instead. ## References - `references/sources.md`

Frequently asked questions

Aliyun Qwen Asr Realtime