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Create your LiveKit Agents skill from official documentation, then learn to improve it throughout the chapter
Passed 18 of 21 test cases with the skill, and 17 of 21 without it.
1 fixed18 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
I want to set up a spec-first learning plan for LiveKit Agents. Please create a initial LEARNING-SPEC.md file outlining learning objectives for production voice agents, success criteria, core architectural questions, prior knowledge assumptions, and items explicitly out of scope.
| Checked | Without skill | With skill |
|---|---|---|
| Lists Pipecat, direct OpenAI Realtime API, and phone number provisioning in the out-of-scope non-goals section. | Missed | Passed |
| Includes success criteria formatted as checkable markdown checkboxes for voice response, tool function calling, interruption handling, and Kubernetes deployment. | Missed | Passed |
The instructions your model reads when the skill loads.
Before learning LiveKit Agents—the framework powering ChatGPT's Advanced Voice Mode—you'll own a LiveKit Agents skill.
This is skill-first learning. You build the skill, then the chapter teaches you what it knows and how to make it better. By the end, you have a production-ready voice agent AND a reusable skill for building more.
In September 2023, OpenAI unveiled ChatGPT Voice Mode. The technology behind it? LiveKit. When OpenAI launched the feature, they also released LiveKit Agents—an open source framework that made it easy for developers to build their own voice AI agents.
LiveKit Agents was used in every demo during the GPT-4o unveil. The framework now powers voice-driven AI products across the industry—from startups to enterprises building Digital FTEs that can hear, speak, and reason in realtime.
What you're learning: Production voice agent architecture from the framework that runs at scale.
Every chapter starts fresh. No state assumptions.
cd claude-code-skills-lab
claude
Why fresh? Skills accumulate across chapters. A fresh start ensures your LiveKit skill builds on clean foundations, not inherited state.
Before asking Claude to build anything, define what you want to learn. This is specification-first learning—you specify intent, then the system executes.
test cases passed, vs 17 / 21 without
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