ListenClaw Voice Gateway for Openclaw

ListenClaw is a specialized voice gateway skill that optimizes AI agent responses for natural spoken language and seamless TTS delivery.

tinywatermonster
v1.0.0
Mar 18, 2026
0
859
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install listenclaw

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install listenclaw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is ListenClaw Voice Gateway?

ListenClaw acts as a dedicated bridge between AI agents and voice-based interfaces within the Openclaw Skills ecosystem. It is specifically designed to detect when a user is interacting via a speech-to-text gateway and automatically adjusts the agent output to ensure it is clear, concise, and perfectly suited for text-to-speech synthesis. By stripping away visual formatting that would confuse an audio engine, it creates a more human-like interaction for users who are hands-free or using microphone input.

This skill ensures that the agent understands the context of a voice conversation. When it sees the specific gateway prefix, it shifts its logic from generating structured, visual Markdown to producing natural, flowy sentences. This is a critical component for developers building audio-first applications using Openclaw Skills where clarity in speech is the primary goal.

ListenClaw Voice Gateway Use Cases

  • Handling voice commands relayed through the ListenClaw microphone gateway
  • Generating plain-text responses specifically intended for reading aloud by TTS systems
  • Converting complex data like weather reports or schedules into natural conversational sentences
  • Enabling hands-free agent interaction during coding or physical tasks
  • Supporting eyes-free accessibility workflows for Openclaw Skills users

How ListenClaw Voice Gateway Works

  1. The skill monitors the incoming message stream for the [ListenClaw] identifier.
  2. Upon detection, the agent recognizes that the user is interacting via voice and requires an audio-optimized response.
  3. The agent processes the request but suppresses all standard Markdown elements such as headers, bold text, and tables.
  4. The response is drafted using short sentences to allow for natural pauses during text-to-speech synthesis.
  5. The final plain-text output is sent back to the gateway to be converted into audio and played through the user's speakers.

ListenClaw Voice Gateway Setup

To integrate this skill into your environment, you must have the gateway configured to communicate with your agent. Follow these steps to set up the Openclaw Skills component:

# Clone the ListenClaw gateway repository
git clone https://github.com/tinywatermonster/listenclaw
# Install dependencies as per the repository instructions
# Ensure your agent is configured to recognize the [ListenClaw] prefix in its system prompt

ListenClaw Voice Gateway Data Schema & Taxonomy

ListenClaw operates on a message-based protocol rather than a persistent database. Its data structure is focused on input identification and output formatting:

Component Type Purpose
Input Prefix String The [ListenClaw] tag that activates voice-mode logic
Output Type Plain Text Strips all Markdown to ensure TTS compatibility
Metadata YAML Contains the emoji and homepage reference for Openclaw Skills catalogs

ListenClaw Voice Gateway Advanced Features

  • Automatic Markdown stripping to prevent TTS engines from reading characters like asterisks or backticks
  • Multi-lingual support for natural sounding responses in both English and Chinese
  • Intelligent sentence breaking to provide natural breathing room for speech synthesis engines
  • Integration with the broader suite of Openclaw Skills to provide voice-enabled automation feedback

SKILL.md


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