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agents

Create and deploy real-time voice AI agents via CLI, SDKs, or REST API.

602|12|Updated Apr 22, 2026
Search Tags:#text-to-speech#customer service#elevenlabs#voice ai#outbound calls#widget embedding#conversational agents
One-click install
npx skills add https://github.com/video-production-buddy/video-production-buddy --skill agents-video-production-buddy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agents
Source: https://github.com/video-production-buddy/video-production-buddy/tree/main/.agents/local/skills/agents
Command: npx skills add https://github.com/video-production-buddy/video-production-buddy --skill agents-video-production-buddy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the complexity of manually integrating telephony, text-to-speech, automatic speech recognition, and large language model services to build production-ready real-time voice AI agents, reducing development time from weeks to minutes.

Core Features & Use Cases

  • End-to-End Agent Lifecycle Management: Create, configure, update, and delete voice agents via CLI, Python/JavaScript SDKs, or REST API, with support for multiple LLM providers and pre-built templates for common use cases.
  • Custom Tool Integration: Extend agent capabilities with webhook tools for server-side API calls, client-side tools for browser interactions, and built-in system tools for call transfers and session management.
  • Use Case: A customer support team can use this Skill to deploy a voice assistant that answers common product questions, looks up order status via webhook integrations, and transfers complex issues to human agents, while tracking call metrics and conversation quality.

Quick Start

Use the agents skill to build and deploy a custom voice AI agent for customer support with pre-configured text-to-speech, large language model, and call transfer tools, then embed it on your company website for immediate user access.

Frequently Asked Questions about agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a real-time voice AI agent for customer service?▼

You can build a real-time voice AI agent by abstracting telephony, text-to-speech, and LLM integrations via the ElevenLabs platform. This Skill provides pre-built templates and SDKs to deploy production-ready customer service bots in minutes.

Can I use Twilio for automated outbound calls with a conversational agent?▼

Yes, you can orchestrate automated outbound phone call systems using Twilio-powered integrations. The Skill enables configuration of conversational agents that execute outbound calls and interact with users dynamically.

How do I embed a voice assistant widget on my website?▼

You can embed a voice assistant widget on your website using the provided widget embedding capabilities. This allows immediate user access to the conversational agent directly from your company website.

Does this voice AI platform support webhook tools for API calls?▼

Yes, the voice AI platform supports custom tool integration using webhook tools for server-side API calls. You can extend agent capabilities to look up order statuses or interact with external systems.

What is needed to configure a voice assistant with call transfer capabilities?▼

Configuring a voice assistant with call transfer capabilities requires using the built-in system tools provided by the ElevenLabs platform. This allows complex issues to be seamlessly transferred to human agents during a conversation.

What is the best way to manage the lifecycle of a voice AI agent?▼

The best way to manage the lifecycle of a voice AI agent is using CLI, Python/JavaScript SDKs, or REST API. This supports creating, configuring, updating, and deleting agents across multiple LLM providers.

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