voice.ai-voice-agents
Create, manage, and deploy Voice.ai conversational AI agents. Use when the user wants to work with voice agents, list their agents, create new ones, or manage agent configurations.
Why use this skill?
Build, manage, and deploy professional voice-enabled AI agents with the Voice.ai skill for OpenClaw. Create custom conversational bots with RAG and MCP support.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/gizmogremlin/openclaw-voiceai-voice-agentWhat This Skill Does
The voice.ai-voice-agents skill empowers developers and users to build, manage, and deploy sophisticated conversational AI agents directly through the OpenClaw environment. By leveraging Voice.ai's advanced Agent API, this skill provides a seamless interface to create custom voice experiences. Whether you are automating customer support, creating interactive personal assistants, or deploying outbound notification systems, this skill handles the heavy lifting of agent lifecycle management, including RAG-powered knowledge bases, MCP (Model Context Protocol) integration for external tool access, and comprehensive call analytics. It abstracts the complexity of TTS voice selection, noise reduction, and LLM configuration into simple command-line operations.
Installation
To integrate this functionality into your OpenClaw ecosystem, execute the following command in your terminal:
clawhub install openclaw/skills/skills/gizmogremlin/openclaw-voiceai-voice-agent
Once installed, ensure you have your Voice.ai API key ready. You can authenticate by setting the VOICE_AI_API_KEY environment variable or by updating your OpenClaw configuration file in the ~/.openclaw/config.json directory. For a quick verification after installation, run node scripts/agent.js list to ensure your connection to the Voice.ai platform is active.
Use Cases
- Automated Customer Service: Create an agent equipped with a business-specific knowledge base to handle inbound inquiries, reduce wait times, and provide 24/7 support.
- Voice-Enabled Appointment Booking: Integrate your scheduling tools via MCP so the voice agent can manage your calendar through natural conversation.
- Outbound Notification Systems: Program agents to perform automated outreach or reminders to clients, complete with configurable voice personas.
- Interactive Prototypes: Quickly spin up voice agents for user research or product testing, adjusting parameters like temperature and interruption logic in real-time.
Example Prompts
- "Create a new voice agent named 'Booking Assistant' with a prompt that helps customers schedule appointments by checking my connected calendar."
- "List all my existing voice agents and show me the deployment status for the 'Support Bot' ID."
- "Update the configuration for agent 'Support Bot' to use a more formal tone by setting the LLM temperature to 0.4."
Tips & Limitations
To get the best performance, always monitor your max_call_duration to avoid unexpected costs. Ensure that you test your agent's persona using the node scripts/agent.js test functions before public deployment. Note that while the tool supports a wide range of languages, specialized domain knowledge should be carefully curated within the agent's knowledge base to ensure accuracy. Always secure your API key as it provides full control over your agent deployments and usage billing.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-gizmogremlin-openclaw-voiceai-voice-agent": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api
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