openai-whisper
The openai-whisper Claude Code skill enables local audio transcription using OpenAI's Whisper command-line tool without requiring an API key. Use this skill when you need to convert speech from audio files (MP3, M4A, and other formats) into text, with options to translate content or output in various formats like plain text or SRT subtitles. Model selection allows tradeoffs between processing speed and transcription accuracy.
git clone --depth 1 https://github.com/moltis-org/moltis /tmp/openai-whisper && cp -r /tmp/openai-whisper/crates/skills/src/assets/audio/openai-whisper ~/.claude/skills/openai-whisperSKILL.md
# Whisper (CLI) 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 srt` Notes - Models download to `~/.cache/whisper` on first run. - `--model` defaults to `turbo` on this install. - Use smaller models for speed, larger for accuracy.
Commit all changes, push branch, create/update PR, and run local validation
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