Openclaw-prompts-and-skills openai-whisper

Local speech-to-text with the Whisper CLI (no API key).

install
source · Clone the upstream repo
git clone https://github.com/seedprod/openclaw-prompts-and-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/seedprod/openclaw-prompts-and-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/openai-whisper" ~/.claude/skills/seedprod-openclaw-prompts-and-skills-openai-whisper && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/seedprod/openclaw-prompts-and-skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/.claude/skills/openai-whisper" ~/.openclaw/skills/seedprod-openclaw-prompts-and-skills-openai-whisper && rm -rf "$T"
manifest: .claude/skills/openai-whisper/SKILL.md
source content

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.