Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Build and manage Voice AI agents using Vapi, Bland.ai, or Retell. Create agents, configure voices, set prompts, make outbound calls, and retrieve transcripts...
Build and manage Voice AI agents using Vapi, Bland.ai, or Retell. Create agents, configure voices, set prompts, make outbound calls, and retrieve transcripts...
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
Build, configure, and manage Voice AI agents. Supports Vapi (primary), Bland.ai, and Retell platforms.
export VAPI_API_KEY="your-vapi-api-key" # Create a voice agent python3 {baseDir}/scripts/vapi_agent.py create-agent '{"name":"Sales Agent","firstMessage":"Hi! How can I help you today?","systemPrompt":"You are a helpful sales assistant for Acme Corp."}' # Make an outbound call python3 {baseDir}/scripts/vapi_agent.py call '{"assistantId":"asst_xxx","phoneNumberId":"pn_xxx","customer":{"number":"+15551234567"}}' # List agents python3 {baseDir}/scripts/vapi_agent.py list-agents # List calls python3 {baseDir}/scripts/vapi_agent.py list-calls
FeatureVapiBland.aiRetellBest ForCustom agents, dev-friendlySimple outbound campaignsEnterprise, low latencyLatency~800ms~500ms~500msLanguages100+30+30+Custom LLM✅ Any OpenAI-compatible✅ Limited✅ Via APIPhone NumbersBuy/importBuy/importBuy/importPricing$0.05/min + provider costs$0.09/min all-in$0.07-0.15/minWebSocket✅❌✅Knowledge Base✅ Built-in✅✅Transfers✅✅✅ Recommendation: Start with Vapi — most flexible, best docs, largest community. Use Bland for simple high-volume outbound. Use Retell for enterprise low-latency needs. See {baseDir}/scripts/voice_comparison.md for detailed breakdown.
Vapi supports multiple TTS providers: ElevenLabs — Best quality, most natural (recommended) PlayHT — Good quality, lower cost Deepgram — Fast, good for real-time Azure — Enterprise, many languages
{ "name": "Appointment Setter", "firstMessage": "Hi! This is Sarah from Dr. Smith's office. I'm calling to help you schedule your appointment.", "systemPrompt": "You are Sarah, a friendly appointment scheduler...", "voice": { "provider": "11labs", "voiceId": "21m00Tcm4TlvDq8ikWAM" }, "model": { "provider": "openai", "model": "gpt-4o", "temperature": 0.7 }, "endCallFunctionEnabled": true, "maxDurationSeconds": 300, "silenceTimeoutSeconds": 30 }
Voice prompts differ from text. Key principles: Keep responses SHORT — 1-2 sentences max per turn Be conversational — use filler words naturally ("Sure thing!", "Got it!") Handle interruptions — voice agents get cut off, design for it Confirm understanding — repeat back key info (names, numbers, dates) Include fallback — "I didn't catch that, could you repeat?"
# List available phone numbers python3 {baseDir}/scripts/vapi_agent.py list-phones # Buy a number (via Vapi dashboard or API) # Import existing number (Twilio, Vonage) python3 {baseDir}/scripts/vapi_agent.py import-phone '{"provider":"twilio","number":"+15551234567","twilioAccountSid":"AC...","twilioAuthToken":"..."}'
Outbound calls: python3 {baseDir}/scripts/vapi_agent.py call '{"assistantId":"asst_xxx","phoneNumberId":"pn_xxx","customer":{"number":"+15551234567"}}' Inbound: Assign agent to phone number in Vapi dashboard, or via API: python3 {baseDir}/scripts/vapi_agent.py update-phone '{"id":"pn_xxx","assistantId":"asst_xxx"}'
Voice agent qualifies lead on call Use Vapi's serverUrl webhook to capture call data On call end → create/update GHL contact Move opportunity to appropriate pipeline stage Schedule follow-up if needed
Agent checks availability via calendar API Uses function calling to book appointment Confirms date/time verbally Sends SMS confirmation after call
Upload documents to Vapi's knowledge base for RAG: python3 {baseDir}/scripts/vapi_agent.py create-kb '{"name":"Product FAQ","files":["faq.pdf"]}'
python3 {baseDir}/scripts/vapi_agent.py create-agent '{...}' # Create new agent python3 {baseDir}/scripts/vapi_agent.py get-agent <id> # Get agent details python3 {baseDir}/scripts/vapi_agent.py list-agents # List all agents python3 {baseDir}/scripts/vapi_agent.py update-agent <id> '{...}' # Update agent python3 {baseDir}/scripts/vapi_agent.py delete-agent <id> # Delete agent python3 {baseDir}/scripts/vapi_agent.py call '{...}' # Make outbound call python3 {baseDir}/scripts/vapi_agent.py get-call <id> # Get call details python3 {baseDir}/scripts/vapi_agent.py list-calls # List all calls python3 {baseDir}/scripts/vapi_agent.py list-phones # List phone numbers python3 {baseDir}/scripts/vapi_agent.py import-phone '{...}' # Import phone number python3 {baseDir}/scripts/vapi_agent.py update-phone '{...}' # Update phone config
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents. 📅 Need help setting up OpenClaw for your business? Book a free consultation
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