L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

walkie-talkie

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.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

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:

bin/sherpa-onnx-tts /tmp/reply.ogg "Tu mensaje aquí"

Then send /tmp/reply.ogg via message tool with filePath.

Skills enregistrées