wechat-automation

npx skills add majiayu000/claude-skill-registry --skill wechat-automation-cacr92-wereply-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# WeChat Automation Skill Expert guidance for WeChat monitoring and automation using wxauto (Windows) and Accessibility API (macOS). ## Overview WeReply uses Platform-specific Agents to monitor WeChat conversations and control the input box: - **Windows Agent**: Python 3.12 + wxauto v4 - **macOS Agent**: Swift + Accessibility API - **Communication**: JSON protocol via stdin/stdout with Rust Orchestrator ## Architecture Pattern ``` 微信窗口 ↓ (UI Automation) Platform Agent ├→ 监听消息（定时轮询） ├→ 提取消息内容 ├→ 发送到 Orchestrator (JSON via stdout) └→ 接收命令 (JSON via stdin) ↓ 控制输入框（写入建议） ``` ## Windows Agent - wxauto v4 ### Installation and Setup ```bash # 安装依赖 pip install wxauto==4.0.0 # 确保微信已登录且窗口可见 ``` ### Message Monitoring Pattern ```python import json import time import sys from wxauto import WeChat class WeChatMonitor: def __init__(self, interval_ms: int = 500): """ 初始化微信监听器 Args: interval_ms: 监听间隔（毫秒），默认 500ms """ self.wechat = WeChat() self.interval_ms = interval_ms self.last_message_id = None def start_monitoring(self): """开始监听微信消息""" try: while True: # 获取当前聊天窗口的最新消息 messages = self.wechat.GetAllMessage() if messages and len(messages) > 0: latest_message = messages[-1] # 检查是否是新消息（避免重复处理） mess

pip install wxauto==4.0.0