walkie-talkie

Pass

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.

@openclawMIT2/22/2026
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Install Skill

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Install globally (user-level):

npx skillhub install openclaw/skills/walkie-talkie

Install in current project:

npx skillhub install openclaw/skills/walkie-talkie --project

Suggested path: ~/.claude/skills/walkie-talkie/

SKILL.md Content

---
name: walkie-talkie
description: 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

1. **Incoming Audio**: When a user sends an audio/ogg/opus file:
   - Use `tools/transcribe_voice.sh` to get the text.
   - Process the text as a normal user prompt.

2. **Outgoing Response**:
   - Instead of a text reply, generate speech using `bin/sherpa-onnx-tts`.
   - Send the resulting `.ogg` file back to the user as a voice note.

## 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:
```bash
bin/sherpa-onnx-tts /tmp/reply.ogg "Tu mensaje aquí"
```
Then send `/tmp/reply.ogg` via `message` tool with `filePath`.