# Send whatsappVoiceOpenSkill to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "whatsapp-voice-chat-integration-open-source", "name": "whatsappVoiceOpenSkill", "source": "tencent", "type": "skill", "category": "通讯协作", "sourceUrl": "https://clawhub.ai/syedateebulislam/whatsapp-voice-chat-integration-open-source", "canonicalUrl": "https://clawhub.ai/syedateebulislam/whatsapp-voice-chat-integration-open-source", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/whatsapp-voice-chat-integration-open-source", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=whatsapp-voice-chat-integration-open-source", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "COMMUNITY-NOTES.md", "example-custom-intents.js", "package.json", "requirements.txt", "SKILL.md", "scripts/transcribe.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/whatsapp-voice-chat-integration-open-source" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/whatsapp-voice-chat-integration-open-source", "downloadUrl": "https://openagent3.xyz/downloads/whatsapp-voice-chat-integration-open-source", "agentUrl": "https://openagent3.xyz/skills/whatsapp-voice-chat-integration-open-source/agent", "manifestUrl": "https://openagent3.xyz/skills/whatsapp-voice-chat-integration-open-source/agent.json", "briefUrl": "https://openagent3.xyz/skills/whatsapp-voice-chat-integration-open-source/agent.md" } } ``` ## Documentation ### WhatsApp Voice Talk Turn WhatsApp voice messages into real-time conversations. This skill provides a complete pipeline: voice → transcription → intent detection → response generation → text-to-speech. Perfect for: Voice assistants on WhatsApp Hands-free command interfaces Multi-lingual chatbots IoT voice control (drones, smart home, etc.) ### 1. Install Dependencies pip install openai-whisper soundfile numpy ### 2. Process a Voice Message const { processVoiceNote } = require('./scripts/voice-processor'); const fs = require('fs'); // Read a voice message (OGG, WAV, MP3, etc.) const buffer = fs.readFileSync('voice-message.ogg'); // Process it const result = await processVoiceNote(buffer); console.log(result); // { // status: 'success', // response: "Current weather in Delhi is 19°C, haze. Humidity is 56%.", // transcript: "What's the weather today?", // intent: 'weather', // language: 'en', // timestamp: 1769860205186 // } ### 3. Run Auto-Listener For automatic processing of incoming WhatsApp voice messages: node scripts/voice-listener-daemon.js This watches ~/.clawdbot/media/inbound/ every 5 seconds and processes new voice files. ### How It Works Incoming Voice Message ↓ Transcribe (Whisper API) ↓ "What's the weather?" ↓ Detect Language & Intent ↓ Match against INTENTS ↓ Execute Handler ↓ Generate Response ↓ Convert to TTS ↓ Send back via WhatsApp ### Key Features ✅ Zero Setup Complexity - No FFmpeg, no complex dependencies. Uses soundfile + Whisper. ✅ Multi-Language - Automatic English/Hindi detection. Extend easily. ✅ Intent-Driven - Define custom intents with keywords and handlers. ✅ Real-Time Processing - 5-10 seconds per message (after first model load). ✅ Customizable - Add weather, status, commands, or anything else. ✅ Production Ready - Built from real usage in Clawdbot. ### Weather Bot // User says: "What's the weather in Bangalore?" // Response: "Current weather in Delhi is 19°C..." // (Built-in intent, just enable it) ### Smart Home Control // User says: "Turn on the lights" // Handler: Sends signal to smart home API // Response: "Lights turned on" ### Task Manager // User says: "Add milk to shopping list" // Handler: Adds to database // Response: "Added milk to your list" ### Status Checker // User says: "Is the system running?" // Handler: Checks system status // Response: "All systems online" ### Add a Custom Intent Edit voice-processor.js: Add to INTENTS map: const INTENTS = { 'shopping': { keywords: ['shopping', 'list', 'buy', 'खरीद'], handler: 'handleShopping' } }; Add handler: const handlers = { async handleShopping(language = 'en') { return { status: 'success', response: language === 'en' ? "What would you like to add to your shopping list?" : "आप अपनी शॉपिंग लिस्ट में क्या जोड़ना चाहते हैं?" }; } }; ### Support More Languages Update detectLanguage() for your language's Unicode: const urduChars = /[\\u0600-\\u06FF]/g; // Add this Add language code to returns: return language === 'ur' ? 'Urdu response' : 'English response'; Set language in transcribe.py: result = model.transcribe(data, language="ur") ### Change Transcription Model In transcribe.py: model = whisper.load_model("tiny") # Fastest, 39MB model = whisper.load_model("base") # Default, 140MB model = whisper.load_model("small") # Better, 466MB model = whisper.load_model("medium") # Good, 1.5GB ### Architecture Scripts: transcribe.py - Whisper transcription (Python) voice-processor.js - Core logic (intent parsing, handlers) voice-listener-daemon.js - Auto-listener watching for new messages References: SETUP.md - Installation and configuration API.md - Detailed function documentation ### Integration with Clawdbot If running as a Clawdbot skill, hook into message events: // In your Clawdbot handler const { processVoiceNote } = require('skills/whatsapp-voice-talk/scripts/voice-processor'); message.on('voice', async (audioBuffer) => { const result = await processVoiceNote(audioBuffer, message.from); // Send response back await message.reply(result.response); // Or send as voice (requires TTS) await sendVoiceMessage(result.response); }); ### Performance First run: ~30 seconds (downloads Whisper model, ~140MB) Typical: 5-10 seconds per message Memory: ~1.5GB (base model) Languages: English, Hindi (easily extended) ### Supported Audio Formats OGG (Opus), WAV, FLAC, MP3, CAF, AIFF, and more via libsndfile. WhatsApp uses Opus-coded OGG by default — works out of the box. ### Troubleshooting "No module named 'whisper'" pip install openai-whisper "No module named 'soundfile'" pip install soundfile Voice messages not processing? Check: clawdbot status (is it running?) Check: ~/.clawdbot/media/inbound/ (files arriving?) Run daemon manually: node scripts/voice-listener-daemon.js (see logs) Slow transcription? Use smaller model: whisper.load_model("base") or "tiny" ### Further Reading Setup Guide: See references/SETUP.md for detailed installation and configuration API Reference: See references/API.md for function signatures and examples Examples: Check scripts/ for working code ### License MIT - Use freely, customize, contribute back! Built for real-world use in Clawdbot. Battle-tested with multiple languages and use cases. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: syedateebulislam - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-30T16:55:25.780Z - Expires at: 2026-05-07T16:55:25.780Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/whatsapp-voice-chat-integration-open-source) - [Send to Agent page](https://openagent3.xyz/skills/whatsapp-voice-chat-integration-open-source/agent) - [JSON manifest](https://openagent3.xyz/skills/whatsapp-voice-chat-integration-open-source/agent.json) - [Markdown brief](https://openagent3.xyz/skills/whatsapp-voice-chat-integration-open-source/agent.md) - [Download page](https://openagent3.xyz/downloads/whatsapp-voice-chat-integration-open-source)