clawmate-companion-tts

Decide when to use voice and deliver short ClawMate messages via clawmate_generate_tts.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/MGHus4473/clawmate-aliyun-clone-tts --skill clawmate-companion-tts-mghus4473
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clawmate-companion-tts
Source: https://github.com/MGHus4473/clawmate-aliyun-clone-tts/tree/main/packages/clawmate-companion/skills/clawmate-companion-tts
Command: npx skills add https://github.com/MGHus4473/clawmate-aliyun-clone-tts --skill clawmate-companion-tts-mghus4473

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates delivering short voice messages when speaking is more natural or comforting than text, enabling warmer, more expressive conversations with ClawMate.

Core Features & Use Cases

  • Audio decision workflow: determines when voice is preferred over text based on context (bedtime, soothing, intimate moments).
  • TTS integration: generates short voice messages via clawmate_generate_tts.
  • Reliable delivery handling: ensures voice messages are sent and avoids duplicating content.

Quick Start

Ask ClawMate to send a short voice message for a bedtime check-in or intimate moment.

Frequently Asked Questions about clawmate-companion-tts

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

FAQPage Schema
How do I automate voice messages for bedtime companionship chats?

You can automate voice messages for bedtime companionship by using a workflow that evaluates context and triggers TTS generation. The system determines if voice is preferred over text for soothing chats, then calls a TTS function to deliver short spoken messages automatically.

When should I use spoken voice messages instead of text in a conversation workflow?

Spoken voice messages are preferred over text when context indicates bedtime companionship, soothing chats, or intimate interactions. The workflow evaluates the conversation context to determine if voice expression would be more comforting and natural than reading text.

How does context-aware TTS delivery work for intimate chat interactions?

Context-aware TTS delivery works through a deterministic workflow that first evaluates whether voice or text is more appropriate based on interaction type. When voice is selected, it generates a short spoken text and passes it to a TTS generation function, then handles the delivery result to ensure reliable transmission.

Can I prevent duplicate voice messages when automating TTS delivery?

Yes, the TTS delivery workflow includes reliable delivery handling that ensures voice messages are sent without duplicating content. After generating the spoken text via TTS, it processes the delivery result to confirm successful transmission and avoid repeating the same voice output.

What's the best way to send short voice messages for soothing chats?

The best way to send short voice messages for soothing chats is through an automated TTS workflow that decides when voice is appropriate and generates concise spoken text. This approach ensures warm, context-aware delivery without manual intervention for each message.

Does the voice message workflow require any external TTS dependencies?

The voice message workflow relies on a TTS generation function to produce spoken audio from text. No additional external dependencies are required beyond this built-in TTS integration, which handles the conversion and delivery of short voice messages within the conversation workflow.