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Video Chat With Me

Real-time AI video chat that routes through your OpenClaw agent. Uses Groq Whisper (cloud STT), edge-tts (cloud TTS via Microsoft), and OpenClaw chatCompletions API for conversation. Your agent sees your camera, hears your voice, and responds with its own personality and memory. Requires: GROQ_API_KEY for speech recognition. Reads ~/.openclaw/openclaw.json for gateway port and auth token. Data flows: audio → Groq cloud (STT), TTS text → Microsoft cloud (edge-tts), camera frames (base64) + text → OpenClaw gateway → your configured LLM provider (may be cloud — frames leave the machine if using a cloud LLM). Installs a persistent launchd service (optional). Trigger phrases: "video chat", "voice call", "call me", "视频一下", "语音", "打电话给我", "我要和你视频", "videochat-withme".

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High Signal

Real-time AI video chat that routes through your OpenClaw agent. Uses Groq Whisper (cloud STT), edge-tts (cloud TTS via Microsoft), and OpenClaw chatCompletions API for conversation. Your agent sees your camera, hears your voice, and responds with its own personality and memory. Requires: GROQ_API_KEY for speech recognition. Reads ~/.openclaw/openclaw.json for gateway port and auth token. Data flows: audio → Groq cloud (STT), TTS text → Microsoft cloud (edge-tts), camera frames (base64) + text → OpenClaw gateway → your configured LLM provider (may be cloud — frames leave the machine if using a cloud LLM). Installs a persistent launchd service (optional). Trigger phrases: "video chat", "voice call", "call me", "视频一下", "语音", "打电话给我", "我要和你视频", "videochat-withme".

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, assets/index.html, scripts/call.sh, scripts/server.py, scripts/setup.sh

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

videochat-withme

Real-time video call with your OpenClaw agent — full personality, memory, and vision.

First-Time Setup

New users run once after installing the skill: bash skills/videochat-withme/scripts/setup.sh This handles everything: dependencies, Groq API key, SSL certs, launchd service.

Prerequisites

macOS (launchd required) Python 3.10+, ffmpeg OpenClaw gateway running with chatCompletions enabled

Groq API Key (required for voice recognition)

Get a free key at: https://console.groq.com/keys Save it: mkdir -p ~/.openclaw/secrets echo "your-key-here" > ~/.openclaw/secrets/groq_api_key.txt Or set env var: export GROQ_API_KEY="your-key-here"

Enable chatCompletions

Add to ~/.openclaw/openclaw.json: { "gateway": { "http": { "endpoints": { "chatCompletions": { "enabled": true } } } } } Then restart OpenClaw.

How to Use (Agent Instructions)

When the user requests a video/voice call: Step 1: Check if service is running: curl -sk https://localhost:8766/api/config 2>/dev/null || curl -s http://localhost:8766/api/config 2>/dev/null Step 2: If no response, setup needed: Check Groq key: cat ~/.openclaw/secrets/groq_api_key.txt 2>/dev/null If missing, ask user to get one at https://console.groq.com/keys Save it: echo "key" > ~/.openclaw/secrets/groq_api_key.txt Ask user: "What name should I display for you in the video call?" Run setup: bash skills/videochat-withme/scripts/setup.sh --auto --agent-name "YourName" --user-name "TheirName" Step 3: Initiate the call based on context: Determine how the user is connecting and pick the best method: User is at the computer (message from webchat/desktop): bash skills/videochat-withme/scripts/call.sh This pops up a macOS incoming call notification → user clicks Accept → browser opens. User is on mobile/remote (message from Telegram/phone): Pick the right URL automatically: # Prefer Tailscale IP (works from any network) TS_IP=$(tailscale ip -4 2>/dev/null) # Fallback to local IP (same WiFi only) LOCAL_IP=$(python3 -c "import socket; s=socket.socket(socket.AF_INET,socket.SOCK_DGRAM); s.connect(('8.8.8.8',80)); print(s.getsockname()[0]); s.close()" 2>/dev/null) If Tailscale is available → send https://<tailscale-ip>:8766 (works everywhere) Otherwise → send https://<local-ip>:8766 (same WiFi only) Note: first visit requires tapping "Advanced → Continue" (self-signed cert)

Architecture

🎤 Voice → Groq Whisper (STT) 📷 Camera → base64 frame ↓ OpenClaw /v1/chat/completions → Your Agent ↓ edge-tts (TTS) → 🔊 Audio playback

Scripts

Agent runs these automatically: ScriptWhensetup.sh --autoFirst use (service not running)call.shEvery call request User can run manually if needed: ScriptPurposesetup.shInteractive setup (without --auto)start.shStart servicestop.shStop service

Configuration

VariableDefaultDescriptionGROQ_API_KEY(secrets file)Groq API key for Whisper STTPORT8766Server portAGENT_NAMEAI AssistantDisplay name for the agentUSER_NAMEUserDisplay name for the userSSL_CERT(auto-detect)Path to SSL certificateSSL_KEY(auto-detect)Path to SSL private key

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Scripts2 Docs1 Assets
  • SKILL.md Primary doc
  • README.md Docs
  • scripts/call.sh Scripts
  • scripts/server.py Scripts
  • scripts/setup.sh Scripts
  • assets/index.html Assets