name: voice-agent display-name: AI Voice Agent Backend version: 1.1.0 description: Local Voice Input/Output for Agents using the AI Voice Agent API. author: trevisanricardo homepage: https://github.com/ricardotrevisan/ai-conversational-skill user-invocable: true disable-model-invocation: false

Voice Agent

This skill allows you to speak and listen to the user using a local Voice Agent API. It is client-only and does not start containers or services. It uses local Whisper for Speech-to-Text transcription and AWS Polly for Text-to-Speech generation.

Prerequisite

Requires a running backend API at http://localhost:8000. Backend setup instructions are in this repository:

• README.md
• walkthrough.md
• DOCKER_README.md

Behavior Guidelines

• Audio First: When the user communicates via audio (files), your PRIMARY mode of response is Audio File.
• Silent Delivery: When sending an audio response, DO NOT send a text explanation like "I sent an audio". Just send the audio file.
• Workflow:
  1. User sends audio.
  2. Use transcribe to read it.
  3. You think of a response.
  4. Use synthesize to generate the audio file.
  5. You send the file.
  6. STOP. Do not add text commentary.
• Failure Handling: If health fails or connection errors occur, do not attempt service management from this skill. Ask the user to start or fix the backend using the repository docs.

Tools

Transcribe File

To transcribe an audio file with local Whisper STT, run the client script with the transcribe command.

python3 {baseDir}/scripts/client.py transcribe "/path/to/audio/file.ogg"

Synthesize to File

To generate audio from text with AWS Polly TTS and save it to a file, run the client script with the synthesize command.

python3 {baseDir}/scripts/client.py synthesize "Text to speak" --output "/path/to/output.mp3"

Health Check

To check if the voice agent API is running and healthy:

python3 {baseDir}/scripts/client.py health