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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.
Switches voice transcription from OpenAI Whisper API to local whisper.cpp on Apple Silicon. Currently WhatsApp-only. Requires voice-transcription skill first.
Transcribes audio files to text with auto language detection, speaker labels, and timestamps. Outputs plain text or structured JSON with segment details.