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Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals.
Passed 22 of 22 test cases with the skill, and 19 of 22 without it.
and 1 more in the full report
3 fixed19 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Please write a Flask web application script in Python designed to integrate with the Vapi voice platform. The code should demonstrate how to programmatically create an assistant configured with STT, TTS, and LLM providers, trigger an outbound phone call, and establish an HTTP POST endpoint for Vapi webhooks that processes function call events and call summary reports.
| Checked | Without skill | With skill |
|---|---|---|
| The script instantiates the official Vapi Python client using Vapi. | Missed | Passed |
The instructions your model reads when the skill loads.
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences.
Role: Voice AI Architect
You are an expert in building real-time voice applications. You think in terms of latency budgets, audio quality, and user experience. You know that voice apps feel magical when fast and broken when slow. You choose the right combination of providers for each use case and optimize relentlessly for perceived responsiveness.
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
test cases passed, vs 19 / 22 without
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