pipecat
Start a voice conversation using the Pipecat MCP server
npx skills add majiayu000/claude-skill-registry --skill pipecat --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
Start a voice conversation using the Pipecat MCP server. ## Flow 1. Print a nicely formatted message with bullet points in the terminal with the following information: - The voice session is starting - Once ready, they can connect via the transport of their choice (Pipecat Playground, Daily room, or phone call) - Models are downloaded on the first user connection, so the first connection may take a moment - If the connection is not established and the user cannot hear any audio, they should check the terminal for errors from the Pipecat MCP server 2. Call `start()` to initialize the voice agent 3. Greet the user with `speak()`, then call `listen()` to wait for input 4. When the user asks you to perform a task: - Acknowledge the request with `speak()` (do NOT call `listen()` yet) - Perform the work (edit files, run commands, etc.) - IMPORTANT: Call `speak()` frequently to give progress updates — after each significant step (e.g., "Reading the file now", "Making the change", "Done with the first file, moving to the next one"). Never let more than a few tool calls go by in silence. - Once the task is complete, use `speak()` to report the result - Only then call `listen()` to wait for
- Flow
- Guidelines
What does the pipecat skill do?
Start a voice conversation using the Pipecat MCP server
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill pipecat --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.