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Transcribe

badlogic/pi-skills
139 installs1.9k stars
Summary

Straightforward speech-to-text that pipes audio through Groq's Whisper API and spits out clean text. You point it at an audio file (m4a, mp3, wav, whatever), and it returns transcription with proper punctuation and capitalization. Needs a Groq API key, which is free to get. The 25MB file limit is the main constraint, so this works for voice memos, meeting recordings, and podcast clips, but you'll need to chunk longer files. Does one thing well without any configuration fussing. If you're already using Groq for LLM calls, this slots right into your workflow since you're using the same API key.

Install to Claude Code

npx -y skills add badlogic/pi-skills --skill transcribe --agent claude-code

Installs into .claude/skills of the current project.

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Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
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Get API Key Now →
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
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Files
SKILL.mdView on GitHub

Transcribe

Local speech-to-text using parakeet-cpp-transcribe on Apple Silicon macOS.

Usage

{baseDir}/transcribe.sh <audio-file>

The first run downloads the macOS arm64 binary from the latest badlogic/pibot GitHub release into the extension's ignored bin directory:

{extensionDir}/bin/parakeet-cpp-transcribe

({extensionDir} is the parent directory of this skill's {baseDir}.) The binary downloads its GGUF model automatically if missing.

Output

Plain text timestamped in 15 second chunks is written to stdout:

[00:00-00:15] transcript text
[00:15-00:30] more transcript text

Model/GGML diagnostic logs are written to stderr. Redirect stderr to hide them:

{baseDir}/transcribe.sh <audio-file> 2>/dev/null

Requirements

  • Apple Silicon macOS only
  • curl and tar
  • ffmpeg for non-WAV input: brew install ffmpeg
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First SeenJun 3, 2026
View on GitHub

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