Convert text to speech using the ElevenLabs TTS engine with customizable voice options.
npx skills add https://github.com/lemonlqf/openclaw-rtsp --skill sag-lemonlqf
Please help me install this Agent Skill. Skill: sag Source: https://github.com/lemonlqf/openclaw-rtsp/tree/main/skills/sag Command: npx skills add https://github.com/lemonlqf/openclaw-rtsp --skill sag-lemonlqf
This Skill provides a convenient way to convert text into speech using ElevenLabs' advanced TTS engine, mimicking the familiar user experience of macOS's built-in 'say' command.
Use sag to speak the phrase "Hello there" with the default voice.
High-intent search queries and answers about installing and using this skill.
You can convert text to speech by providing your text string and specifying customizable voice and delivery options. The Skill processes the input through the ElevenLabs engine to generate natural-sounding speech for local playback or audio file generation.
Yes, an ElevenLabs API key is required for authentication and service access to generate voice audio. The Skill requires this key to interface with the ElevenLabs TTS engine and synthesize speech from your text.
Yes, you can control pronunciation, add pauses, and apply emotional tags for expressive speech synthesis. This allows you to generate audio narrations with specific emotional tones and pacing tailored to your use case.
Yes, this text-to-speech tool mimics the familiar user experience of the macOS say command. It provides a mac-style say UX while utilizing the ElevenLabs advanced TTS engine to generate higher quality voice output.
The best way to create an audio narration is using a TTS engine with customizable delivery options. You can generate dynamic voice responses by synthesizing text into local audio files with specific emotional tones and pacing.
Yes, you can save the generated speech as an audio file for local playback. The Skill supports audio file generation alongside local playback, allowing you to store and use the synthesized voice output for applications requiring dynamic voice responses.
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