tts

Converts Markdown documents to speech audio using the TTS pipeline.

1|2|Updated Feb 15, 2026

Search Tags:#markdown #tts #speech synthesis #voice cloning #korean #qwen3-tts

Ready to run

npx skills add https://github.com/jaminitachi/SuperClaw --skill tts-jaminitachi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tts
Source: https://github.com/jaminitachi/SuperClaw/tree/main/skills/tts
Command: npx skills add https://github.com/jaminitachi/SuperClaw --skill tts-jaminitachi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill transforms lengthy Markdown documents, such as reports and documentation, into natural-sounding Korean speech audio, making content accessible for listening during commutes or multitasking.

Core Features & Use Cases

Markdown to Speech Conversion: Utilizes the Qwen3-TTS pipeline for high-quality audio generation.
Voice Cloning: Employs the 'Irene' voice model for a warm, consistent narration.
Use Case: Convert your daily project status report (REPORT-TTS.md) into an audio file to listen to while driving to your next meeting.

Quick Start

Use the tts skill to convert the markdown file '~/projects/tts-pipeline/REPORT-TTS.md' into an audio file using the Irene voice.

Frequently Asked Questions about tts

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

FAQPage Schema

How do I convert Markdown to Korean speech audio?▼

To convert Markdown to Korean speech, this Skill uses the Qwen3-TTS pipeline to generate natural-sounding audio from text documents. It processes Markdown files directly and outputs audio suitable for listening during commutes or multitasking.

Can I use voice cloning for Korean text narration?▼

Yes, voice cloning is supported for Korean text narration using the Irene voice model. This provides a warm, consistent narration quality across your documents by leveraging the Qwen3-TTS pipeline.

Do I need Apple Silicon to run the Qwen3-TTS pipeline locally?▼

Apple Silicon is required for local execution to ensure cost-effectiveness when running the Qwen3-TTS pipeline. You also need specific Python environments and libraries configured for the speech synthesis and audio manipulation.

Does this Skill support batch processing of Markdown documents?▼

Yes, batch processing of Markdown documents is supported for generating speech audio. This allows you to convert multiple lengthy reports or documentation files into audio for continuous listening.

What are the limitations of using local speech synthesis for Markdown?▼

The main limitation of local speech synthesis is the requirement for specific Python environments and Apple Silicon hardware. You must ensure your local setup meets these library and hardware prerequisites before processing documents.