Whisper
Skill ActiveOpenAI'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.
Features
- Multilingual speech-to-text transcription
- Translation to English
- Language identification
- Support for multiple model sizes
- Configurable transcription options
Use Cases
- Transcribing podcasts and videos
- Automating meeting notes
- Processing multilingual audio content
- Speech-to-text conversion in noisy environments
Non-Goals
- 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-templatesRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
Trust Signals
Similar Extensions
Whisper
97OpenAI'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.
Openai Whisper Api
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Whisper Transcription
95Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives