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TheArchitectit
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audio-gen

Unify text-to-speech, transcription, audio conversion, and editing workflows.

3|Updated Apr 25, 2026
Search Tags:#text-to-speech#whisper#audio processing#audio conversion#audio editing#speech-to-text#podcast production
One-click install
npx skills add https://github.com/TheArchitectit/awesome-cline-skills --skill audio-gen-thearchitectit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: audio-gen
Source: https://github.com/TheArchitectit/awesome-cline-skills/tree/main/skills/audio-gen
Command: npx skills add https://github.com/TheArchitectit/awesome-cline-skills --skill audio-gen-thearchitectit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users often need to switch between multiple disconnected tools for text-to-speech generation, audio transcription, format conversion, and audio editing, leading to inconsistent results and wasted time managing separate workflows for common audio tasks.

Core Features & Use Cases

  • Text-to-Speech & Transcription: Generate natural speech from text using cloud or local TTS engines, and transcribe audio files to timestamped text with OpenAI Whisper.
  • Audio Format Conversion: Convert between all common audio formats (MP3, WAV, FLAC, AAC, etc.) with customizable bitrate, sample rate, and channel settings.
  • Audio Editing & Podcast Production: Trim, concatenate, and normalize audio loudness, plus assemble full podcast episodes with intro/outro segments and professional-level loudness standards.
  • Use Case: A podcaster can record raw interview segments, transcribe them automatically, combine the segments with intro/outro music, normalize the loudness to streaming standards, and export a ready-to-publish MP3 file all in one consistent workflow.

Quick Start

Use the audio-gen skill to transcribe the attached meeting recording 'team-standup.mp3' to a text file and convert the audio to a 128kbps MP3 format optimized for sharing.

Frequently Asked Questions about audio-gen

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe an MP3 meeting recording to timestamped text using Whisper?▼

Transcribe MP3 audio to timestamped text by processing the file through speech-to-text transcription powered by OpenAI Whisper. The workflow analyzes the audio input and outputs structured text without separate manual transcription tools.

Can I convert audio files between MP3, WAV, FLAC, and AAC formats with custom bitrate settings?▼

Convert audio files between MP3, WAV, FLAC, and AAC formats with customizable bitrate, sample rate, and channel settings. The process utilizes ffmpeg-powered format conversion to ensure consistent audio output across various media archiving and sharing requirements.

What is the best way to assemble podcast episodes and normalize loudness for streaming?▼

Assemble podcast episodes and normalize loudness for streaming by trimming, concatenating, and combining interview segments with intro and outro music. The workflow applies ffmpeg-powered editing and loudness normalization to meet broadcast and streaming standards.

Does text-to-speech generation work with both cloud and local TTS engines?▼

Text-to-speech generation works with both cloud and local TTS engines, specifically supporting edge-tts and Piper. This allows natural speech synthesis from text directly within the unified workflow without relying on disconnected external tools.

Do I need separate tools for audio transcription and text-to-speech generation?▼

You do not need separate tools for audio transcription and text-to-speech generation because this workflow unifies STT via faster-whisper and TTS via edge-tts. It eliminates disjointed tools, providing a consistent environment for content creation and accessibility implementation.

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