What problem does it solve? Converting text into natural-sounding spoken audio requires managing ElevenLabs models, voices, pronunciation quirks, and playback, which is tedious to handle manually through raw API calls. ## Core Features & Use Cases - Text-to-Speech Generation: Speak any text locally with sag "Hello there", choosing voices with -v and saving output to files with -o. - Model & Voice Control: Select between expressive eleven_v3, stable eleven_multilingual_v2, or fast eleven_flash_v2_5, and list available voices with sag voices. - Expressive Delivery: Use v3 audio tags like [whispers], [laughs], and [short pause] plus normalization and language flags to control pronunciation and pacing. - Use Case: A user asks for a "crazy scientist voice" reply; generate the audio with sag -v Clawd -o /tmp/voice-reply.mp3 "..." and attach the file to the chat response. ## Quick Start Ask the assistant to say a short message out loud using the sag skill, for example by requesting a voice reply in a specific character voice.