groq-core-workflow-b
Installation
SKILL.md
Groq Core Workflow B: Audio, Vision & Speech
Overview
Beyond chat completions, Groq offers ultra-fast Whisper transcription (216x real-time), Llama 4 vision, and text-to-speech — all on the same groq-sdk client. This skill covers transcription/translation, vision, TTS, and model benchmarking, with full runnable code in references/implementation.md and worked scripts in references/examples.md.
Prerequisites
groq-sdkinstalled,GROQ_API_KEYset (the SDK reads it from the environment automatically)- For audio: audio files in a supported format
- For vision: image URLs or base64-encoded images
Audio Models
| Model ID | Languages | Speed | Best For |
|---|---|---|---|
whisper-large-v3 |
100+ | 164x real-time | Best accuracy, multilingual |
whisper-large-v3-turbo |
100+ | 216x real-time | Best speed/accuracy balance |
Supported audio formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm