What problem does it solve? Building real-time voice assistants requires coordinating speech recognition, LLM reasoning, text-to-speech, telephony, and web embedding across many APIs. This Skill consolidates the ElevenLabs Agents platform into one workflow so you can create, configure, deploy, and manage conversational voice agents without piecing together documentation. ## Core Features & Use Cases - Agent Creation & Configuration: Create agents via CLI, Python/JavaScript SDKs, or REST API with configurable LLM providers (OpenAI, Anthropic, Google, custom endpoints), voices, turn-taking behavior, and knowledge bases. - Tools & Integrations: Extend agents with webhook tools, browser-side client tools, and built-in system tools like call transfer and end_call, plus outbound phone calls through Twilio. - Web Embedding & Management: Embed a voice widget on any website, manage agents as code with the CLI push/pull workflow, and control guardrails, privacy redaction, and call limits. - Use Case: Build a customer support voice bot that answers calls, looks up orders via a webhook tool, transfers complex cases to a human phone number, and embeds on your help page as a chat widget. ## Quick Start Create an ElevenLabs voice agent named Support Bot with a greeting, a Gemini LLM prompt, and a default voice, then show me how to embed it on my website.