mascot-test

Test mascot lip-sync, speech bubbles, and emotional expressions via signal files.

18|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/sawarae/utsutsu-code --skill mascot-test
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mascot-test
Source: https://github.com/sawarae/utsutsu-code/tree/main/.claude/skills/mascot-test
Command: npx skills add https://github.com/sawarae/utsutsu-code --skill mascot-test

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires json, os, time, sys, and includes scripts (resource) components.

What problem does it solve?

This Skill allows for the testing of mascot animations, speech bubbles, and emotional expressions without the need for a Text-to-Speech engine.

Core Features & Use Cases

  • Visual Testing: Verify lip-sync animations, message bubble display, and emotion-specific facial expressions.
  • TTS Independent: Useful for debugging or demonstrating visual aspects of the mascot independently of TTS functionality.
  • Use Case: Quickly cycle through all available mascot emotions and messages to ensure the visual feedback system is working correctly before integrating with a TTS service.

Quick Start

Run the /mascot-test command to cycle through all emotions and messages.

Frequently Asked Questions about mascot-test

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

FAQPage Schema
How do I test mascot animations and expressions without a Text-to-Speech engine?

You can test mascot animations by using Python scripts to directly write and manage signal files for timed visual feedback. This allows you to verify lip-sync, speech bubbles, and emotional expressions independently of a TTS service.

What is the best way to visually debug a mascot UI before integrating TTS?

Visual debugging of a mascot UI is best done by cycling through all available emotions and messages using signal files. This ensures the visual feedback system works correctly before you connect a Text-to-Speech engine.

How do I trigger speech bubbles and lip-sync animations for visual testing?

You trigger speech bubbles and lip-sync animations by running a command that creates, manages, and removes timed signal files. These files directly stimulate the mascot UI to display the desired visual feedback.

Does this mascot testing approach require any external dependencies?

No external dependencies are required beyond standard Python libraries like json, os, time, and sys. The testing approach operates independently by writing signal files directly to the system.

When should I not use signal files for mascot visual testing?

You should not use signal files for mascot visual testing if your goal is to verify actual audio output or TTS engine integration. This method is strictly for demonstrating and debugging visual UI elements like expressions.