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10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
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openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install czubi1928/openai-whisper-1-0-0Inspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Skill instructions
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/whisperon first run. -
--modeldefaults toturboon this install. - Use smaller models for speed, larger for accuracy.
Source information
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/czubi1928/openai-whisper-1-0-0
- Version
- —
- Commit
- 190c244c400914d04715f7e66093c1a0f5cf54b8
- Classification source
- rules
- Status
- active
- Visibility
- public
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Extracted content
SKILL.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.
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