voice-ai-agents

What This Skill Does

The voice-ai-agents skill provides a comprehensive interface for building, managing, and deploying conversational AI agents powered by Voice.ai. It acts as an abstraction layer over the Voice.ai Agent API, enabling developers and non-technical users to create sophisticated voice-based assistants directly from their command line or within the OpenClaw agent ecosystem. The skill handles the end-to-end lifecycle of an agent, from initial configuration of LLM settings and TTS parameters to real-time deployment for telephony applications and Knowledge Base (RAG) integration.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/gizmogremlin/voice-ai-agent Ensure you have your Voice.ai API key exported as an environment variable: export VOICE_AI_API_KEY="your-api-key".

Use Cases

This skill is ideal for businesses looking to automate customer support via phone, developers building voice-enabled internal tools, and creators building personalized AI companions. You can use it to create an automated FAQ bot for your small business, deploy a voice-based receptionist for your office, or integrate complex MCP (Model Context Protocol) servers to allow your voice agent to interact with your live databases and calendars.

Example Prompts

1. "Create a new support agent named 'TechHelp' with a professional tone that helps users troubleshoot basic login issues using my FAQ knowledge base."
2. "List all my existing voice agents and show me the status of the deployment for the agent with ID 5521."
3. "Update the prompt for agent 5521 to be more concise and set the llm_temperature to 0.4 for more consistent responses."

Tips & Limitations

• Tips: Always test your agents using the get command before moving to full production deployments to ensure the system prompt behaves as expected. Use the auto_noise_reduction feature if your deployment environment is high-traffic or loud.
• Limitations: The agent currently supports a fixed set of languages. Ensure your voice_id matches the language model selected. The max_call_duration default is 900 seconds; ensure this matches your billing and operational requirements to avoid unexpected call termination. The MCP integration requires valid server endpoints and authentication, so double-check your security tokens.