According to AlphaMoat, as of 2026-09, TTS WhatsApp has 4,672 downloads and 10 stars — ranked #2,041 of 5,078 AI skills overall, and #382 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 148 | 4.3K | 9 | 1 |
| SkillHub ↗ | 271 | 4.7K | 10 | — |
Platforms count differently and update at different times.
Send high-quality text-to-speech voice messages on WhatsApp in 40+ languages with automatic delivery
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 | 4.7K | — | 10 |
| 2026-08 | 4.3K | +3.0% | 10 |
| 2026-07 | 4.2K | +6.1% | 10 |
| 2026-06 | 4.0K | +4.2% | 9 |
| 2026-05 | 3.8K | — | 9 |
| 2026-03 | 3.2K | — | 9 |
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: tts-whatsapp version: 1.0.0 description: Send high-quality text-to-speech voice messages on WhatsApp in 40+ languages with automatic delivery user-invocable: true disable-model-invocation: false tags: - whatsapp - tts - voice
- messaging - multilingual - audio author: Community repository: https://github.com/clawdbot/clawdhub --- # 🎙️ TTS WhatsApp - Voice Messages in 40+ Languages Send high-quality text-to-speech voice messages on WhatsApp with automatic delivery. Supports 40+ languages, personal messages, and group broadcasts. ## ✨ Features - 🎙️ **High-quality TTS** powered by Piper (40+ languages) - 🎵 **Automatic conversion** to OGG/Opus (WhatsApp format) - 📤 **Automatic sending** via Clawdbot - 👥 **Group support** - Send to individuals or WhatsApp groups - 🌍 **Multi-language** - French, English, Spanish, German, and 40+ more - 🧹 **Smart cleanup** - Auto-delete files after successful send - ⚡ **Fast** - ~2-3s from command to delivery ## 📦 Prerequisites 1. **Piper TTS**: `pip3 install --user piper-tts` 2. **FFmpeg**: `brew install ffmpeg` (macOS) or `apt install ffmpeg` (Linux) 3. **Voice models**: Download from [Hugging Face](https://huggingface.co/rhasspy/piper-voices) - Place in `~/.clawdbot/skills/piper-tts/models/` - Example: `fr_FR-siwis-medium.onnx` ## 🚀 Quick Start ### Basic usage ```bash tts-whatsapp "Hello, this is a test" --target "+15555550123" ``` ### Send to WhatsApp group ```bash tts-whatsapp "Hello everyone" --target "[email protected]" ``` ### Change language ```bash tts-whatsapp "Hola mundo" --lang es_ES --voice carlfm --target "+34..." ``` ### Different quality levels ```bash tts-whatsapp "High quality" --quality high --target "+1..." ``` ## 🌍 Supported Languages - 🇫🇷 French (`fr_FR`): siwis, upmc, tom - 🇬🇧 English GB (`en_GB`): alan, alba - 🇺🇸 English US (`en_US`): lessac, amy, joe - 🇪🇸 Spanish (`es_ES`, `es_MX`): carlfm, davefx - 🇩🇪 German (`de_DE`): thorsten, eva_k - 🇮🇹 Italian (`it_IT`): riccardo - 🇵🇹 Portuguese (`pt_BR`, `pt_PT`): faber - 🇳🇱 Dutch (`nl_NL`): mls, rdh - 🇷🇺 Russian (`ru_RU`): dmitri, irina - And 30+ more! [Full voice list →](https://rhasspy.github.io/piper-samples/) ## 🔧 Configuration Configure in `~/.clawdbot/clawdbot.json`: ```json { "skills": { "entries": { "tts_whatsapp": { "enabled": true, "env": { "WHATSAPP_DEFAULT_TARGET": "+15555550123", "PIPER_DEFAULT_LANG": "en_US", "PIPER_DEFAULT_VOICE": "lessac", "PIPER_DEFAULT_QUALITY": "medium" } } } } } ``` ## 🎛️ All Options ``` --target NUMBER WhatsApp number or group ID --message TEXT Text message with audio --lang LANGUAGE Language (default: fr_FR) --voice VOICE Voice name (default: auto) --quality QUALITY x_low, low, medium, high --speed SPEED Playback speed (default: 1.0) --no-send Don't send automatically ``` ## 📊 Performance ~2.3s total for a 10-second message: - TTS generation: ~1s - Format conversion: ~0.2s - WhatsApp delivery: ~1s ## 📚 Full Documentation See [README.md](README.md) for complete documentation, examples, and troubleshooting.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude rea
场景驱动+关键词双模式技能发现工具。当用户用自然语言描述场景/需求(如"我想做一个海报""帮我分析股票"),或明确说"安装技能/find skills/找个skill"时,自动从官方内置、本地已安装、SkillHub、虾评、GitHub、ClawHub 六层联合搜索并推荐最合适的技能,支持一键安装。已完全替代官方...
A browser-automation command line skill for AI agents.
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.