Agent skill · creative production · sundial-org
transcribe
Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.
Why this skill is useful
Adds a CLI tool for local audio transcription that enables the AI to process audio files into text, a capability it cannot generate from knowledge alone.
What it needs
Requires docker installed locally. About 1k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
Transcribe Local audio transcription using faster-whisper in Docker. Installation This builds the Docker image whisper:local and installs the transcribe CLI. Usage Default language: es (Spanish) Use auto for auto-detection Outputs plain text to stdout Examples Supported Formats mp3, m4a, ogg, wav, webm, flac, aac When Receiving Voice Messages 1. Save the audio attachment to a temp file 2. Run transcribe <path> 3. Include the transcription in your response 4. Clean up the temp file Files scripts/transcribe - CLI wrapper (bash) scripts/install.sh - Installation script (includes Dockerfile inline) Notes Model: small (fast) - edit install.sh for large-v3 (accurate) Fully local, no API key needed
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/transcribe