text-to-speech SKILL.md skillA

text-to-speech from valtterimelkko/agent-workflow-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add valtterimelkko/agent-workflow-skills/text-to-speech@git:20260611.919d9c9

Pins git:20260611.919d9c9 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
valtterimelkko/agent-workflow-skills
Path
skills/text-to-speech/SKILL.md
Versions recorded
1
Latest version
git:20260611.919d9c9, committed Jun 11, 2026
Size
6,641 bytes
Repository stars
2
License
MIT

Convert text to natural-sounding speech audio using Supertonic — a fully local, CPU-only, ONNX-based TTS engine supporting 31 languages and 10 voice styles. Use this skill whenever the user wants to generate audio from text, create voice recordings, add speech to videos, narrate content, produce podcasts, create TTS for apps, convert documents to audio, or mentions text-to-speech / TTS / speech synthesis / voice generation / audio narration. Works on any CPU — no GPU or cloud needed.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Text-to-Speech (Supertonic)

Supertonic is a fully local text-to-speech engine that converts any text into studio-quality 44.1kHz WAV audio. It runs entirely on CPU via ONNX Runtime — no GPU, no cloud API, no network needed after the initial ~404 MB model download. It synthesizes audio 3-4x faster than real-time on a typical server CPU.

## System Requirements

- Python 3.8+
- ~500 MB RAM for model loading
- ~404 MB disk for model files (auto-downloaded on first use)
- No GPU required

## Installation

```bash
pip install supertonic
```

On Ubuntu 24.04+ (PEP 668):
```bash
pip install supertonic --break-system-packages
```

Models auto-download from Hugging Face on first synthesis. Cached at `~/.cache/supertonic3/`.

## Quick Start — Python API

```python
from supertonic import TTS
import soundfile as sf

tts = TTS()  # loads supertonic-3 (31 languages)
style = tts.get_voice_style("M1")  # male voice
audio, duration = tts.synthesize("Hello, world!", voice_style=style)
sf.write("output.wav", audio.squeeze(), tts.sample_rate)
```

The bundled script at `scripts/synthesize.py` wraps this into a one-liner:

```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add valtterimelkko/agent-workflow-skills/text-to-speech@sha256:944f0f83defde452

The line at the top of this page pins the label git:20260611.919d9c9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4mpwercwu442aax6.svg)](https://markdownregistry.com/a/art_4mpwercwu442aax6)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 11, 2026.

versioncommittedcommitsizeaudit
git:20260611.919d9c9 latest2026-06-11 919d9c9 6,641 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6641 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

valtterimelkko/agent-workflow-skills · 2 stars · license MIT · pushed 2026-10-28 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4mpwercwu442aax6
GET https://markdownregistry.com/api/v1/resolve?ref=valtterimelkko/agent-workflow-skills/text-to-speech
GET https://markdownregistry.com/api/v1/blob/944f0f83defde452f265d4273305d4722f4e4e66a57887b696d7f523574d4aa0

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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