whisper Skill
Transcribe and translate speech in 99 languages. Published by NousResearch in hermes-agent.
Decision snapshot
Is this a fit?
Deployment, Design and media, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
30 days ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is whisper Skill?
Transcribe and translate speech in 99 languages. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Design and media
- Deployment use cases
- Design and media use cases
Declared skill metadata
- Declared author: Orchestra Research
- Declared license: MIT
- Source file: optional-skills/mlops/whisper/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use whisper Skill
- Use it for deployment.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/mlops/whisper/SKILL.md
What it does
Transcribe and translate speech in 99 languages.
Skill instructions
Whisper - Robust Speech Recognition OpenAI's multilingual speech recognition model. When to use Whisper Use when: - Speech-to-text transcription (99 languages) - Podcast/video transcription - Meeting notes automation - Translation to English - Noisy audio transcription - Multilingual audio processing Metrics: - 72,900+ GitHub stars - 99 languages supported - Trained on 680,000 hours of audio - MIT License Use alternatives instead: - AssemblyAI: Managed API, speaker diarization - Deepgram: Real-time streaming ASR - Google Speech-to-Text: Cloud-based Quick start Installation bash Requires Python 3.8-3.11 pip install -U openai-whisper Requires ffmpeg macOS: brew install ffmpeg Ubuntu: sudo apt install ffmpeg Windows: choco install ffmpeg Basic transcription python import whisper Load model model = whisper.loadmodel("base") Transcribe result = model.transcribe("audio.mp3") Print text print(result["text"]) Access segments for segment in result["segments"]: print(f"[{segment['start']:.2f}s -
Verified compatibility and discovery
Frequently asked questions
What is whisper?
whisper is a open-source AI agent skill with Copy skill directory. Transcribe and translate speech in 99 languages.
Who is whisper best for?
whisper is best for reusing agent instructions, scripts, and references, deployment workflows, design and media workflows.
How do I install whisper?
Install or run whisper using Copy skill directory. Check whisper for the latest setup command.
Is whisper actively maintained?
whisper may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
