Whisper
Skill AktivOpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
To provide a powerful and flexible solution for converting spoken audio into text, suitable for a wide range of applications from podcast transcription to multilingual audio analysis.
Funktionen
- Multilingual speech-to-text transcription
- Translation to English
- Language identification
- Support for multiple model sizes
- Configurable transcription options
Anwendungsfälle
- Transcribing podcasts and videos
- Automating meeting notes
- Processing multilingual audio content
- Speech-to-text conversion in noisy environments
Nicht-Ziele
- Real-time streaming transcription (faster-whisper is mentioned as an alternative)
- Speaker diarization (identifying different speakers)
- Managed API service (focus is on local execution)
Trust
- warning:Issues AttentionIn the last 90 days, 17 issues were opened and 4 were closed, indicating a slow response rate to opened issues.
Installation
npx skills add davila7/claude-code-templatesFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
Vertrauenssignale
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