glebis/claude-skills

elevenlabs-tts

This skill converts text to high-quality audio files using ElevenLabs API.

First seen Jan 23, 2026

Installation

$ npx skills add glebis/claude-skills --skill elevenlabs-tts

Summary

  • This skill converts text to high-quality audio files using ElevenLabs API.
  • Use this skill when users request text-to-speech generation, audio narration, or voice synthesis with customizable voice parameters (stability, similarity boost) and voice presets (rachel, adam, bella, elli, josh, arnold, ava).

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from glebis/claude-skills · top by installs.

npx skills add glebis/claude-skills

Browse all from glebis/claude-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 372
License MIT
Default branch main
Open issues 6
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,166 B
  • docs SUMMARY.md 324 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 298 installs

SKILL.md

ElevenLabs Text-to-Speech

Overview

Generate professional audio files from text using ElevenLabs' advanced text-to-speech API. The skill provides pre-configured voice presets with sensible defaults, voice parameter customization, and direct access to the scripts/elevenlabs_tts.py script for programmatic control.

Quick Start

To generate audio from text:

  1. Ensure the .env file contains a valid ELEVENLABSAPIKEY
  2. Execute the script with text: python scripts/elevenlabs_tts.py "Your text here"
  3. Specify voice and output: python scripts/elevenlabs_tts.py "Text" --voice adam --output audio/output.mp3

Voice Presets

Seven pre-configured voices are available. See references/api_reference.md for complete voice descriptions:

  • rachel (default) - Clear, professional female
  • adam - Deep, authoritative male
  • bella - Warm, friendly female
  • elli - Young, enthusiastic female
  • josh - Friendly, conversational male
  • arnold - Deep, powerful male
  • ava - Expressive, dynamic female

Parameters

Text

The text to convert to speech. Any length is supported.

Voice Selection

Specify voice using preset name (e.g., rachel, adam) or direct ElevenLabs voice ID.

Voice Parameters

  • stability (0.0-1.0, default 0.5): Lower values create expressive variation; higher values ensure consistency
  • similarity_boost (0.0-1.0, default 0.75): Higher values maintain closer adherence to voice characteristics

Output

Specify the output file path. Default is output.mp3. Directories are created automatically.

Usage Examples

Basic Python Usage

from scripts.elevenlabs_tts import generate_speech

path = generate_speech(
    text="Hello, this is a test message",
    voice_id="rachel"
)

Command Line

# With default voice
python scripts/elevenlabs_tts.py "Generate this text"

# With custom voice and stability
python scripts/elevenlabs_tts.py "Different voice" --voice adam --stability 0.7

# To custom output path
python scripts/elevenlabs_tts.py "Save here" --output audio/narration.mp3

# List available voices
python scripts/elevenlabs_tts.py "" --list-voices

Implementation Notes

  • The script handles API communication with error reporting
  • Output directories are created automatically if they don't exist
  • Returns absolute path to generated audio file
  • Uses elevenmonolingualv1 model by default (can be overridden)

Resources

  • scripts/elevenlabs_tts.py - Main Python script for text-to-speech generation. Can be imported as a module or executed from command line.
  • references/api_reference.md - Detailed API documentation including voice descriptions, parameter explanations, and usage examples.
  • .env and .env.example - Environment configuration for storing API credentials securely.