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From agi-super-team
Transcribes audio files locally using the Whisper CLI. Supports multiple output formats and translation tasks without requiring an API key.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agi-super-team:openai-whisperThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use `whisper` to transcribe audio locally.
Use whisper to transcribe audio locally.
Quick start
whisper /path/audio.mp3 --model medium --output_format txt --output_dir .whisper /path/audio.m4a --task translate --output_format srtNotes
~/.cache/whisper on first run.--model defaults to turbo on this install.npx claudepluginhub aaaaqwq/agi-super-team --plugin agi-super-teamTranscribes audio files locally using the Whisper CLI. Supports multiple output formats and translation tasks without requiring an API key.
Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.
Switches voice transcription from OpenAI Whisper API to local whisper.cpp on Apple Silicon. Currently WhatsApp-only. Requires voice-transcription skill first.