/aliyun-qwen-asr-realtime

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.

BOOST

cinience@cinience

GitHub

From plugin

alicloud-skills

39799 skills

Install

$ npx -y skills add cinience/alicloud-skills --skill aliyun-qwen-asr-realtime --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-asr-realtime

Context preview

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

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.

SKILL.md

aliyun-qwen-asr-realtime.SKILL.md

name: aliyun-qwen-asr-realtime
description: 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.
version: 1.0.0

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<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:

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.