OpenAI'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.
How to install whisper?
mustafakemal0146/fetih/whisper
$npx -y skills add mustafakemal0146/fetih --skill whisperInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mustafakemal0146/fetih" --skill "mustafakemal0146/fetih/whisper"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mustafakemal0146/fetih" that are relevant to the current task. Run `npx skills add "https://github.com/mustafakemal0146/fetih"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- remotion-best-practicesRouter for all Remotion skillsJul 2026
- ai-image-generationGenerate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI.Jul 2026
- hyperframes-cliUse the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes,…Jul 2026
- hyperframesMandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo,…Jul 2026
- remotion-to-hyperframesPort an existing Remotion (React) composition''s source to HyperFrames HTML.Jul 2026
- hyperframes-coreThe HyperFrames composition contract — build one renderable project.Jul 2026
