Overview
- Skill Key
- bjdzliu/wechat-auto-reply
- Author
- bjdzliu
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/bjdzliu/wechat-auto-reply
- Latest Commit SHA
- 2fae57c827c1797e03480ce52a89771ce67f85f0
半自动回复微信联系人消息(置信度>85%自动发送,否则确认),或主动发送指定内容。使用方式:wechat-auto-reply "联系人名称" 或 wechat-auto-reply "联系人名称" "消息内容"
Stars
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Installs
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 wechat-auto-reply 技能。 若已安装,则直接安装 wechat-auto-reply 技能。
# WeChat Auto Reply Skill 半自动回复微信联系人消息(基于AI置信度智能判断),或主动发送指定内容。 ## 🚀 安装 ### 使用 Homebrew(推荐) ```bash # 一行安装 brew install bjdzliu/openclaw/wechat-auto-reply # 或者两步安装 brew tap bjdzliu/openclaw brew install wechat-auto-reply ``` 安装后会自动: - 安装所有依赖(`cliclick`, `python@3`, `pyobjc`) - 创建全局命令 `wechat-auto-reply` - 设置 OpenClaw skill 链接到 `~/.openclaw/workspace/skills/wechat-auto-reply` ## 💡 使用方式 ```bash # OCR 半自动回复(查看聊天记录,智能判断回复内容) # 置信度 > 85% 自动发送,否则弹窗确认 wechat-auto-reply "联系人名称" # 主动发送(直接发送指定消息,不走 OCR) wechat-auto-reply "联系人名称" "消息内容" ``` **示例:** ```bash # 半自动回复模式 wechat-auto-reply "小李" # 如果是"在吗"等高置信场景,自动发送 wechat-auto-reply "小王" # 如果是问题类,会弹窗让你确认或修改 # 主动发送模式 wechat-auto-reply "小李" "什么时候下班" wechat-auto-reply "小王" "今天行情怎么样" ``` ## 功能描述 **两种模式:** 1. **半自动回复模式**:搜索联系人 → OCR 识别聊天内容 → AI 判断回复 - 置信度 > 85% → 自动发送 - 置信度 ≤ 85% → 弹窗确认(可修改回复内容) 2. **主动发送模式**:搜索联系人 → 直接发送指定消息 ## 📂 文件位置 ### Homebrew 安装后 - **Skill 目录**: `$(brew --prefix)/share/openclaw/skills/wechat-auto-reply` - **用户链接**: `~/.openclaw/workspace/skills/wechat-auto-reply` - **全局命令**: `$(brew --prefix)/bin/wechat-auto-reply` - **配置文件**: `~/.openclaw/workspace/skills/wechat-auto-reply/wechat-dm.applescript` ### 查看安装路径 ```bash which wechat-auto-reply ls -la ~/.openclaw/workspace/skills/wechat-auto-reply ``` ## 环境准备 ### 通过 Homebrew 安装(推荐) 所有依赖会自动安装,无需手动配置。 ### 手动安装依赖 #### 依赖工具 | 工具 | 安装方式 | 用途 | |------|----------|------| | `cliclick` | `brew install cliclick` | 稳定的鼠标点击 | | `screencapture` | macOS 内置 | 截图(可通过 `/usr/sbin/screencapture` 调用) | | Vision Framework | macOS 10.15+ | OCR 文本识别 | #### Python 依赖...
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