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videochat-withme与我视频聊天

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:videochat-withme(与我视频聊天)
来源仓库:https://github.com/sxu75374/videochat-withme
安装命令:
openclaw skills install videochat-withme
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install videochat-withme

简介

通过 OpenClaw 代理进行实时 AI 视频聊天。使用 Groq Whisper(云 STT), edge-tts(通过 Microsoft 的云 TTS)和用于对话的 OpenClaw chatCompletions API。您的代理人

  • 看到您的相机,听到您的声音,并以自己的个性和记忆做出反应。
  • 需要:GROQ_API_KEY 用于语音识别。读取 ~/.openclaw/openclaw.json 以获取网关端口和身份验证令牌。
  • 数据流:音频 → Groq 云 (STT)、TTS 文本 → 微软云 (edge-tts)、相机帧 (base64) + 文本
  • → OpenClaw 网关 → 您配置的 LLM 提供商(可能是云 — 如果使用云 LLM,框架会离开机器)。
  • 安装持久启动服务(可选)。触发短语:“视频聊天”、“语音通话”、
  • “打电话给我”,“视频一下”,“语音”,“打电话给我”,“我要和你视频”,“与我视频聊天”。

SKILL.md

name
videochat-withme
description
|
Requires
GROQ_API_KEY for speech recognition. Reads ~/.openclaw/openclaw.json for gateway port and auth token.
metadata

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)

  1. Get a free key at: https://console.groq.com/keys
  2. 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:

  1. 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

  1. Ask user: "What name should I display for you in the video call?"
  2. 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:

  1. 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.

  1. 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:

ScriptWhen
setup.sh --autoFirst use (service not running)
call.shEvery call request

User can run manually if needed:

ScriptPurpose
setup.shInteractive setup (without --auto)
start.shStart service
stop.shStop service

Configuration

VariableDefaultDescription
GROQ_API_KEY(secrets file)Groq API key for Whisper STT
PORT8766Server port
AGENT_NAMEAI AssistantDisplay name for the agent
USER_NAMEUserDisplay name for the user
SSL_CERT(auto-detect)Path to SSL certificate
SSL_KEY(auto-detect)Path to SSL private key

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算9,337

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可疑

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可疑

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未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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