Vocal Chat OpenClaw Skill - ClawHub
Do you want your AI agent to automate Vocal Chat workflows? This free skill from ClawHub helps with browser & automation tasks without building custom tools from scratch.
What this skill does
Handles voice-to-voice conversations on WhatsApp. Automatically transcribes incoming audio and responds with local TTS audio. Use when the user wants to "talk" instead of type.
Install
npx clawhub@latest install vocal-chatFull SKILL.md
Open original| name | description |
|---|---|
| walkie-talkie | Handles voice-to-voice conversations on WhatsApp. Automatically transcribes incoming audio and responds with local TTS audio. Use when the user wants to "talk" instead of type. |
Walkie-Talkie Mode
This skill automates the voice-to-voice loop on WhatsApp using local transcription and local TTS.
Workflow
-
Incoming Audio: When a user sends an audio/ogg/opus file:
- Use
tools/transcribe_voice.shto get the text. - Process the text as a normal user prompt.
- Use
-
Outgoing Response:
- Instead of a text reply, generate speech using
bin/sherpa-onnx-tts. - Send the resulting
.oggfile back to the user as a voice note.
- Instead of a text reply, generate speech using
Triggers
- User sends an audio message.
- User says "activa modo walkie-talkie" or "hablemos por voz".
Constraints
- Use local tools only (ffmpeg, whisper-cpp, sherpa-onnx-tts).
- Maintain a fast response time (RTF < 0.5).
- Always reply with BOTH text (for clarity) and audio.
Manual Execution (Internal)
To respond with voice manually:
bin/sherpa-onnx-tts /tmp/reply.ogg "Tu mensaje aquí"
Then send /tmp/reply.ogg via message tool with filePath.