mcpbeat

Qwen Asr

aahl/qwen-asr

Transcribe audio files using Qwen ASR. Use when the user sends voice messages and wants them converted to text.

963 tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
147
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/aahl/skills --skill qwen-asr

The instruction itself

2 sections, as written by the author

Qwen ASR

Transcribe an audio file (wav/mp3/ogg...) to text using Qwen ASR. No configuration or API key required.

Usage

uv run scripts/main.py -f audio.wav

cat audio.mp3 | uv run scripts/main.py > transcript.txt

curl https://example.com/audio.ogg | uv run scripts/main.py

How to use it

Copy the folder

Take aahl/qwen-asr from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.