Generate spoken audio from text via the ElevenLabs TTS engine.
npx skills add https://github.com/loveoplay2023-hue/OpenMehdi --skill sag-loveoplay2023-hue
Please help me install this Agent Skill. Skill: sag Source: https://github.com/loveoplay2023-hue/OpenMehdi/tree/main/skills/sag Command: npx skills add https://github.com/loveoplay2023-hue/OpenMehdi --skill sag-loveoplay2023-hue
This Skill provides a user-friendly interface for generating spoken audio from text using ElevenLabs' advanced TTS technology, mimicking the familiar 'say' command experience on macOS.
Use the sag skill to speak the phrase 'Hello, this is a test' in the 'Clawd' voice.
High-intent search queries and answers about installing and using this skill.
To generate spoken audio from text using ElevenLabs TTS, you need an ElevenLabs API key and this Skill's command-line interface. It converts written text into natural-sounding speech using various ElevenLabs models.
Yes, you need an active ElevenLabs API key to perform speech synthesis with this tool. The Skill requires this key to access the ElevenLabs TTS engine and generate spoken audio from your text.
Yes, you can select specific voices and control pronunciation for audio generation. The Skill supports voice selection, pronunciation rules, and audio tags to create expressive speech output.
The best way to convert text to speech with a macOS say command interface is using this Skill, which mimics the familiar 'say' command experience while leveraging the ElevenLabs TTS engine for natural speech.
Yes, ElevenLabs TTS supports different models for speech synthesis. This Skill allows you to choose from various ElevenLabs models to generate natural-sounding audio from your written text.
simplefarmer69Generate speech from text using ElevenLabs TTS with a macOS-style command-line interface.
qq5855144Convert short mixed Chinese-English text into MP3 or WAV speech audio files.
akrindevGenerates speech from text using Google Gemini TTS models via Python scripts.
sentientspriteGenerate speech audio files locally using sherpa-onnx and Piper TTS models.
