Transcribe WAV audio files using OpenAI Whisper for intelligibility testing. Triggers on: "transcribe audio", "whisper test", "test audio output", "is the audio intelligible", "check speech quality", "run whisper", "speech to text test", "check if audio sounds right"
Quickly install whisper-test AI skill to your development environment via command line
Source: trevors/dot-claude.
Transcribe WAV audio files using OpenAI Whisper and report whether the speech is intelligible. Optionally compare against expected text.
Whisper is installed as a uv tool: uv tool install openai-whisper.
Since this machine may lack ffmpeg, always use the Python API approach that loads WAV files with scipy (bypasses the ffmpeg requirement).
Transcribe WAV audio files using OpenAI Whisper for intelligibility testing. Triggers on: "transcribe audio", "whisper test", "test audio output", "is the audio intelligible", "check speech quality", "run whisper", "speech to text test", "check if audio sounds right" Source: trevors/dot-claude.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/trevors/dot-claude --skill whisper-testTranscribe WAV audio files using OpenAI Whisper for intelligibility testing. Triggers on: "transcribe audio", "whisper test", "test audio output", "is the audio intelligible", "check speech quality", "run whisper", "speech to text test", "check if audio sounds right" Source: trevors/dot-claude.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/trevors/dot-claude --skill whisper-test Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/trevors/dot-claude