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Transcribe audio and voice messages using local Whisper. Use when you receive a voice message on Telegram or when the user asks to transcribe audio. ALWAYS try to transcribe voice messages — never say you can't listen to them. Runs locally, no API key needed.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | whisper |
| description | Transcribe audio and voice messages using local Whisper. Use when you receive a voice message on Telegram or when the user asks to transcribe audio. ALWAYS try to transcribe voice messages — never say you can't listen to them. Runs locally, no API key needed. |
| requires | {"bins":"whisper"} |
| setup | pip install openai-whisper Also needs ffmpeg: apt install ffmpeg (Linux) or brew install ffmpeg (Mac) |
Runs entirely on your machine. No API key. No cost. No data sent anywhere.
command -v whisper && echo "ready" || echo "missing"
If missing: pip install openai-whisper and apt install ffmpeg (or brew install ffmpeg on Mac).
whisper /path/to/audio.ogg --model base --device cpu --output_format txt
The transcript is saved as a .txt file next to the audio file.
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Read Withings scale and health data — weight, body fat, muscle mass, BMI, hydration, bone mass, heart rate. Use when the user asks about their weight, body composition, scale data, or anything Withings-related.
Read and send iMessages via the user's BlueBubbles Server running on their Mac. Use when the user asks about iMessages — reading a conversation, searching for a person, sending a message, reacting, etc. The Mac must be awake and BlueBubbles Server running.