What problem does it solve? Building real-time voice assistants requires coordinating speech recognition, LLM reasoning, text-to-speech, and telephony integrations, which is complex to assemble from scratch. This Skill provides the commands, SDK patterns, and configuration references to create, configure, deploy, and manage ElevenLabs conversational AI agents. ## Core Features & Use Cases - Agent Creation & Management: Create agents via CLI templates, Python/JavaScript SDKs, or REST API, then list, update, and delete them with full CRUD support. - Conversation Configuration: Configure LLM providers (OpenAI, Anthropic, Google, custom endpoints), voices, turn-taking behavior, ASR, and knowledge base RAG. - Tools & Integrations: Extend agents with webhook tools, browser-side client tools, built-in system tools like call transfer, Twilio outbound calls, and embeddable website widgets. - Use Case: Build a customer support voice bot that answers calls, looks up orders through a webhook tool, transfers complex cases to a human phone number, and embeds as a widget on your website. ## Quick Start Create an ElevenLabs voice agent named Support Bot using the customer-service template and push it to the platform.