voice-conversation

Run continuous speak/listen voice dialogue loops with TTS and STT integration.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Dimi82/claude-playground-explorer --skill voice-conversation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voice-conversation
Source: https://github.com/Dimi82/claude-playground-explorer/tree/main/voice-conversation
Command: npx skills add https://github.com/Dimi82/claude-playground-explorer --skill voice-conversation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Facilitates continuous hands-free voice dialogue with users, eliminating the need to manually manage back-and-forth interactions and enabling fluid, ongoing conversations.

Core Features & Use Cases

  • Continuous dialogue loop: enters a recurring speak/listen cycle until exit phrases are detected.
  • TTS/STT integration: speaks responses aloud and listens for follow-ups.
  • Controlled exit: supports clear termination with farewell and no further listening.
  • Use Case: ideal for assistive interfaces, voice-enabled assistants, and hands-free workflows across devices.

Quick Start

Invoke the voice-conversation skill and say your first prompt to start the dialogue.

Frequently Asked Questions about voice-conversation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a continuous hands-free voice dialogue with follow-ups?

Continuous hands-free voice dialogue is created by entering a recurring speak-and-listen loop that processes text-to-speech and speech recognition until an exit phrase is detected. This enables fluid, ongoing conversations without manual interaction.

Can I use voice conversation for long-running sessions across different devices?

Voice conversation supports long-running sessions across devices by maintaining a continuous dialogue loop with real-time follow-ups. It integrates text-to-speech and speech recognition to facilitate hands-free interactions throughout the session.

How does exit detection work in a hands-free voice conversation?

Exit detection in a hands-free voice conversation works by monitoring speech recognition input for specific farewell phrases. Once detected, the dialogue loop terminates safely, stopping both text-to-speech output and further listening.

What is the best way to build an assistive interface with voice-enabled dialogue?

The best way to build an assistive interface with voice-enabled dialogue is to implement a looping conversational flow with text-to-speech and speech recognition integration. This allows hands-free, real-time follow-ups for users requiring assistive workflows.

Do I need to manually manage back-and-forth interactions during a voice conversation?

You do not need to manually manage back-and-forth interactions during a voice conversation. The skill enters a recurring speak-and-listen cycle that automatically handles follow-ups until a controlled exit phrase is spoken.

When should I not use a continuous looping conversational flow for voice interactions?

You should not use a continuous looping conversational flow when an interaction requires discrete, single-turn voice commands rather than ongoing dialogue. The loop is designed for long-running, hands-free sessions with real-time follow-ups.