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Whisper

Skill G1Joshi/Agent-Skills/skills/ai-ml/whisper

Whisper OpenAI speech recognition. Use for speech-to-text.From its SKILL.md

Install
npx -y skills add G1Joshi/Agent-Skills --skill whisper

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.0 KB, 260 tokens by cl100k_base, as published. Nobody here has run it

Whisper

Whisper (OpenAI) is the industry standard for Speech-to-Text. It supports 99 languages and translation. V3 (large-v3) is the current state of the art.

When to Use

  • Transcription: Creating subtitles for videos.
  • Translation: Translating audio to English text.
  • Local Privacy: Runs 100% locally (sensitive meetings).

Core Concepts

Models

tiny, base, small, medium, large, legacy, large-v3, large-v3-turbo.

Distil-Whisper

Smaller, faster versions of Whisper (6x speedup, 1% accuracy loss).

Best Practices (2025)

Do:

  • Use insanely-fast-whisper: A wrapper that uses Flash Attention to transcribing 2 hours of audio in 2 minutes.
  • Use API for streaming: OpenAI API supports streaming audio transcription.

Don't:

  • Don't use large for realtime: It's too slow. Use turbo or distil models.

References

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.