将微信接入 OpenClaw，实现双向消息通道。
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionwechat-channelExecute the skills CLI command in your project's root directory to begin installation:
Fetches wechat-channel from aaaaqwq/claude-code-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate wechat-channel. Access via /wechat-channel in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
31
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
31
stars
将微信接入 OpenClaw，实现双向消息通道。
┌─────────────┐ ┌──────────────────┐ ┌─────────────┐
│ 微信用户 │ ←→ │ Wechaty Bridge │ ←→ │ OpenClaw │
│ (私聊/群聊) │ │ (PadLocal协议) │ │ Gateway │
└─────────────┘ └──────────────────┘ └─────────────┘
↓
┌──────────────────┐
│ 消息格式转换 │
│ - 文本/图片/文件 │
│ - @提及检测 │
│ - 群聊/私聊路由 │
└──────────────────┘
独立运行的 Node.js 服务，负责：
接收来自 Wechaty Bridge 的消息，转发给 AI Agent。
OpenClaw Agent 通过 HTTP API 发送消息到微信。
cd /home/aa/clawd/skills/wechat-channel
npm init -y
npm install wechaty wechaty-puppet-padlocal axios dotenv
cp .env.example .env
# 编辑 .env 填入配置
node scripts/wechat-bridge.js
# 扫描终端显示的二维码登录
# PadLocal Token (必需)
# 获取方式: https://pad-local.com
PADLOCAL_TOKEN=YOUR_PADLOCAL_TOKEN
# OpenClaw Gateway 配置
OPENCLAW_GATEWAY_URL=http://127.0.0.1:18789
OPENCLAW_WEBHOOK_SECRET=your_webhook_secret
# 微信 Bot 配置
WECHAT_BOT_NAME=OpenClaw助手
# 安全配置
# 允许的用户微信ID (逗号分隔，留空允许所有)
ALLOWED_USERS=wxid_xxx,wxid_yyy
# 允许的群聊ID (逗号分隔，留空允许所有)
ALLOWED_GROUPS=xxx@chatroom,yyy@chatroom
# 群聊行为
# 是否需要@才响应群消息
REQUIRE_MENTION_IN_GROUP=true
# 日志级别
LOG_LEVEL=info
{
"channels": {
"wechat": {
"enabled": true,
"webhookUrl": "http://localhost:3001/webhook",
"webhookSecret": "your_webhook_secret",
"dmPolicy": "allowlist",
"allowFrom": ["wxid_xxx", "wxid_yyy"],
"groups": {
"xxx@chatroom": {
"name": "工作群",
"requireMention": true
}
}
}
}
}
{
"type": "message",
"channel": "wechat",
"messageId": "msg_123456",
"from": {
"id": "wxid_sender",
"name": "张三",
"alias": "zhangsan"
},
"chat": {
"id": "wxid_sender",
"type": "private"
},
"text": "你好，帮我查一下天气",
"timestamp": 1706745600000,
"mentions": [],
"replyTo": null
}
{
"type": "message",
"channel": "wechat",
"messageId": "msg_789012",
"from": {
"id": "wxid_sender",
"name": "张三"
},
"chat": {
"id": "xxx@chatroom",
"type": "group",
"name": "工作群"
},
"text": "@OpenClaw助手 帮我总结一下今天的会议",
"mentions": ["bot_wxid"],
"isMentioned": true
}
# 发送文本
curl -X POST http://localhost:3001/api/send \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_SECRET" \
-d '{
"to": "wxid_receiver",
"type": "text",
"content": "收到，正在处理..."
}'
# 发送图片
curl -X POST http://localhost:3001/api/send \
-H "Content-Type: application/json" \
-d '{
"to": "wxid_receiver",
"type": "image",
"url": "https://example.com/image.png"
}'
# 发送文件
curl -X POST http://localhost:3001/api/send \
-d '{
"to": "wxid_receiver",
"type": "file",
"path": "/path/to/file.pdf",
"filename": "report.pdf"
}'
| 策略 | 说明 |
|---|---|
open |
允许所有人私聊（危险） |
allowlist |
仅允许 allowFrom 列表中的用户 |
pairing |
需要配对审批 |
| 配置 | 说明 |
|---|---|
requireMention: true |
必须@机器人才响应 |
allowFrom |
群内允许触发的用户列表 |
用户: 帮我查一下明天北京的天气
Bot: 明天北京天气：晴，温度 -5°C ~ 5°C，建议穿羽绒服。
用户: @OpenClaw助手 总结一下刚才的讨论
Bot: 刚才讨论的要点：
1. 项目进度需要加快
2. 下周三前完成设计稿
3. 周五进行代码评审
// 从 OpenClaw Agent 发送通知
await sendWechatMessage({
to: 'xxx@chatroom',
text: '⚠️ 服务器 CPU 使用率超过 90%，请检查！'
});
问题: 扫码后无法登录 解决:
问题: 消息发送失败 解决:
问题: 服务运行一段时间后断开 解决:
scripts/wechat-bridge.js - 主服务代码scripts/message-handler.js - 消息处理逻辑.env.example - 环境变量模板references/wechaty-api.md - Wechaty API 参考Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
wechat-channel is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added wechat-channel from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend wechat-channel for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: wechat-channel is the kind of skill you can hand to a new teammate without a long onboarding doc.
wechat-channel fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
wechat-channel reduced setup friction for our internal harness; good balance of opinion and flexibility.
wechat-channel has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend wechat-channel for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
wechat-channel reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added wechat-channel from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 56