Groq Core Workflow B

What it does

When your agent uses it

• You need Groqs non-chat endpoints — transcribing
• Translating audio with Whisper
• Understanding images with Llama 4 vision
• Generating speech (TTS)

Example prompts

• “groq whisper”
• “groq transcription”
• “groq audio”
• “/groq-core-workflow-b”

Requirements

• Python 3
• A credential in GROQ_API_KEY
• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Bash(npm:*)

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Transcription — groq.audio.transcriptions.create({ file, model: "whisper-large-v3-turbo", response_format }). Use response_format…
2. 2Translation — groq.audio.translations.create({ file, model: "whisper-large-v3" }) transcribes any-language audio directly to English text.
3. 3Vision — a normal groq.chat.completions.create call where content is an array mixing { type: "text" } and { type: "image_url" } parts…
4. 4Text-to-Speech — groq.audio.speech.create({ model: "playai-tts", input, voice, response_format }), then write Buffer.from(await…
5. 5Benchmarking — loop a prompt across several chat models and time each call to compare latency and tokens/sec (see references/examples.md).

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Bash(npm:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • console.groq.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • GROQ_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Designed for Claude Code

  From compatibility in the SKILL.md frontmatter.

Context cost

Groq Core Workflow B loads about 1.4k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 476 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~87

When it runs · the whole SKILL.md, loaded when a task matches

~1.4k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 476 words, ~1,442 tokens.

name

groq-core-workflow-b

description

Use when you need Groq's non-chat endpoints — transcribing or translating audio with Whisper, understanding images with Llama 4 vision, generating speech (TTS), or benchmarking models for speed vs quality. Trigger with phrases like "groq whisper", "groq transcription", "groq audio", "groq vision", "groq TTS", "groq speech".

allowed-tools

Read, Bash(npm:*)

compatibility

Designed for Claude Code

version

1.11.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, groq, workflow, audio, vision

import Groq from "groq-sdk";
import fs from "fs";

const groq = new Groq();

async function transcribe(filePath: string): Promise<string> {
  const transcription = await groq.audio.transcriptions.create({
    file: fs.createReadStream(filePath),
    model: "whisper-large-v3-turbo",
    response_format: "json",
  });
  return transcription.text;
}

const completion = await groq.chat.completions.create({
  model: "meta-llama/llama-4-scout-17b-16e-instruct",
  messages: [{
    role: "user",
    content: [
      { type: "text", text: "What is in this image?" },
      { type: "image_url", image_url: { url: imageUrl } },
    ],
  }],
  max_tokens: 1024,
});
console.log(completion.choices[0].message.content);

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/.curated/groq-core-workflow-b of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/examples.md
• references/implementation.md

Open the folder on GitHubat commit cfae287