By Rubén Fernández BoullónUpdated 2026-05-11vocal-chat@clawhub_rubenfb23/vocal-chat
Task AutomationWorkflow Orchestration#Audio#WhatsApp
According to AlphaMoat, as of 2026-09, Vocal Chat has 4,789 downloads and 12 stars — ranked #1,969 of 5,078 AI skills overall, and #372 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 155 | 4.5K | 12 | - |
| SkillHub ↗ | 472 | 4.8K | 12 | — |
Platforms count differently and update at different times.
Incoming audio is transcribed locally, processed as a normal request, and answered with locally synthesized speech plus a text reply. It depends on ffmpeg, whisper-cpp and sherpa-onnx-tts. Sending the voice note through WhatsApp still requires an available messaging tool. The source sets an RTF target below 0.5; actual speed depends on the local machine and should be measured.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.8K | — | 12 |
| 2026-08 | 4.4K | +1.8% | 12 |
| 2026-07 | 4.3K | +5.2% | 12 |
| 2026-06 | 4.1K | +3.6% | 12 |
| 2026-05 | 4.0K | — | 12 |
| 2026-03 | 3.6K | — | 12 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- 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`.
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.