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Install in OpenClaw
/install skylv-universal-bot-maker
Description
Generate and deploy Telegram, WeChat, Discord, and other platform bots with unified API for messaging, commands, media, and user management.
README (SKILL.md)
Cross-Platform Bot Builder — 跨平台 Bot 生成器
功能说明
一键生成 Telegram、微信、抖音、Discord 等多平台 Bot,统一 API 接口,一次开发,多平台部署。支持消息处理、命令响应、媒体发送、用户管理等功能。
支持平台
| 平台 | 消息 | 命令 | 媒体 | 支付 | 状态 |
|---|---|---|---|---|---|
| Telegram | ✅ | ✅ | ✅ | ✅ | 完全支持 |
| Discord | ✅ | ✅ | ✅ | ❌ | 完全支持 |
| 微信公众号 | ✅ | ✅ | ✅ | ✅ | 完全支持 |
| 企业微信 | ✅ | ✅ | ✅ | ❌ | 完全支持 |
| 抖音 | ✅ | ✅ | ✅ | ✅ | 完全支持 |
| Slack | ✅ | ✅ | ✅ | ❌ | 完全支持 |
| ✅ | ✅ | ✅ | ❌ | 测试中 |
快速开始
方式一:CLI 创建
# 创建新 Bot 项目
npx bot-builder create my-bot
# 选择平台
? Select platforms:
◉ Telegram
◉ Discord
◉ WeChat
◉ Douyin
# 生成项目结构
my-bot/
├── src/
│ ├── handlers/
│ │ ├── message.js
│ │ ├── command.js
│ │ └── event.js
│ ├── adapters/
│ │ ├── telegram.js
│ │ ├── discord.js
│ │ └── wechat.js
│ └── index.js
├── config/
│ └── platforms.json
├── .env
└── package.json
方式二:代码创建
const { BotBuilder } = require('@skylv/bot-builder');
const bot = new BotBuilder({
name: 'my-assistant',
platforms: ['telegram', 'discord', 'wechat']
});
// 添加消息处理器
bot.onMessage(async (ctx) => {
await ctx.reply(`收到:${ctx.message.text}`);
});
// 添加命令处理器
bot.onCommand('/start', async (ctx) => {
await ctx.reply('欢迎使用!');
});
// 部署到多平台
await bot.deploy();
方式三:配置文件
# bot.yaml
name: my-assistant
version: 1.0.0
platforms:
telegram:
enabled: true
token: ${TELEGRAM_BOT_TOKEN}
webhook: https://your-domain.com/telegram/webhook
discord:
enabled: true
token: ${DISCORD_BOT_TOKEN}
intents:
- GUILD_MESSAGES
- DIRECT_MESSAGES
wechat:
enabled: true
appId: ${WECHAT_APP_ID}
appSecret: ${WECHAT_APP_SECRET}
token: ${WECHAT_TOKEN}
handlers:
- type: message
pattern: ".*"
handler: ./src/handlers/message.js
- type: command
commands: ["/start", "/help"]
handler: ./src/handlers/command.js
统一 API
消息处理
// 统一消息上下文
{
platform: 'telegram',
userId: '123456',
chatId: 'chat_789',
message: {
type: 'text', // text|image|voice|video|document
content: 'Hello',
timestamp: 1234567890
},
user: {
id: '123456',
name: '张三',
avatar: 'https://...'
}
}
// 统一回复接口
ctx.reply('文本消息')
ctx.replyImage(imageUrl)
ctx.replyVoice(audioUrl)
ctx.replyVideo(videoUrl)
ctx.replyDocument(fileUrl)
命令处理
// 命令注册
bot.command('/start', async (ctx) => {
await ctx.reply('欢迎!使用 /help 查看帮助');
});
bot.command('/help', async (ctx) => {
const helpText = `
可用命令:
/start - 开始
/help - 帮助
/settings - 设置
`;
await ctx.reply(helpText);
});
// 命令参数解析
bot.command('/search \x3Cquery>', async (ctx) => {
const { query } = ctx.args;
const results = await search(query);
await ctx.reply(JSON.stringify(results));
});
事件处理
// 用户事件
bot.onEvent('user.joined', async (ctx) => {
await ctx.reply(`欢迎 ${ctx.user.name}!`);
});
bot.onEvent('user.left', async (ctx) => {
console.log(`${ctx.user.name} 离开了`);
});
// 消息事件
bot.onEvent('message.edited', async (ctx) => {
console.log('消息被编辑了');
});
bot.onEvent('message.deleted', async (ctx) => {
console.log('消息被删除了');
});
平台适配器
Telegram Adapter
const telegram = require('./adapters/telegram');
telegram.init({
token: process.env.TELEGRAM_BOT_TOKEN,
webhook: {
url: 'https://your-domain.com/telegram/webhook',
port: 8443
}
});
// 特有功能
telegram.sendPoll({
chatId,
question: '你喜欢什么?',
options: ['A', 'B', 'C'],
multiple: false
});
telegram.sendLocation({
chatId,
latitude: 39.9,
longitude: 116.4
});
Discord Adapter
const discord = require('./adapters/discord');
discord.init({
token: process.env.DISCORD_BOT_TOKEN,
intents: ['GUILD_MESSAGES', 'DIRECT_MESSAGES']
});
// 特有功能
discord.createEmbed({
title: '标题',
description: '描述',
color: 0x00AE86,
fields: [
{ name: '字段 1', value: '值 1' },
{ name: '字段 2', value: '值 2' }
]
});
discord.addReaction({
messageId,
emoji: '👍'
});
微信 Adapter
const wechat = require('./adapters/wechat');
wechat.init({
appId: process.env.WECHAT_APP_ID,
appSecret: process.env.WECHAT_APP_SECRET,
token: process.env.WECHAT_TOKEN,
encodingAESKey: process.env.WECHAT_AES_KEY
});
// 特有功能
wechat.sendTemplateMessage({
toUser: userId,
templateId: 'TEMPLATE_ID',
data: {
first: { value: '您好' },
keyword1: { value: '订单完成' },
remark: { value: '感谢使用' }
}
});
wechat.createQRCode({
sceneId: '123',
expireSeconds: 2592000
});
部署方案
Docker 部署
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
EXPOSE 8443
CMD ["node", "src/index.js"]
# 构建镜像
docker build -t my-bot .
# 运行容器
docker run -d \
--name my-bot \
-p 8443:8443 \
-e TELEGRAM_BOT_TOKEN=xxx \
-e DISCORD_BOT_TOKEN=xxx \
my-bot
Serverless 部署
# vercel.json
{
"version": 2,
"builds": [
{ "src": "src/index.js", "use": "@vercel/node" }
],
"routes": [
{ "src": "/telegram/webhook", "dest": "src/index.js" },
{ "src": "/discord/webhook", "dest": "src/index.js" },
{ "src": "/wechat/webhook", "dest": "src/index.js" }
]
}
# 部署到 Vercel
vercel deploy
工具函数
create_bot
def create_bot(name: str, platforms: list, config: dict) -> dict:
"""
创建 Bot 项目
Args:
name: Bot 名称
platforms: 平台列表
config: 配置字典
Returns:
{
"project_path": "/path/to/my-bot",
"files_created": [...],
"next_steps": ["配置 Token", "部署 webhook", "启动服务"]
}
"""
deploy_to_platform
def deploy_to_platform(platform: str, bot_config: dict) -> dict:
"""
部署到指定平台
Args:
platform: 平台名称
bot_config: Bot 配置
Returns:
{
"status": "success",
"webhook_url": "https://...",
"test_message": "发送测试消息"
}
"""
analyze_bot_performance
def analyze_bot_performance(bot_id: str, time_range: str = "24h") -> dict:
"""
分析 Bot 性能
Args:
bot_id: Bot ID
time_range: 时间范围
Returns:
{
"total_messages": 10000,
"active_users": 500,
"avg_response_time": 0.5,
"error_rate": 0.01,
"platform_breakdown": {...}
}
"""
相关文件
触发词
- 自动:检测 bot、telegram、wechat、discord、cross-platform 相关关键词
- 手动:/bot-builder, /create-bot, /multi-platform-bot
- 短语:创建 Bot、Telegram Bot、微信 Bot、跨平台 Bot
Usage
- Install the skill
- Configure as needed
- Run with OpenClaw
Usage Guidance
Before installing or using this skill, confirm that the referenced npm packages are legitimate, pin versions where possible, keep bot tokens out of chat and source control, and deploy first to a private test environment with clear stop/rollback steps.
Capability Analysis
Type: OpenClaw Skill
Name: skylv-universal-bot-maker
Version: 1.0.0
The skill is a cross-platform bot generator for Telegram, Discord, and WeChat, providing templates and deployment guides for Docker and Vercel. It is classified as suspicious because it involves high-risk capabilities such as project generation via CLI (npx), file system modification, and the handling of sensitive API tokens, which are plausibly needed for its stated purpose but lack implementation details in the provided files. Additionally, there is a discrepancy in SKILL.md between the suggested command 'npx bot-builder' and the referenced package '@skylv/bot-builder', and the _meta.json contains a future-dated 'publishedAt' timestamp (2026).
Capability Assessment
Purpose & Capability
The documented capabilities—creating and deploying Telegram, WeChat, Discord, and other bots—match the stated purpose, but deployed bots can send messages, handle user data, and run continuously.
Instruction Scope
The commands and deployment snippets appear to be user-directed examples rather than hidden automatic execution, but the instructions do not add much guidance about reviewing generated handlers before deployment.
Install Mechanism
There is no install spec or bundled code, while SKILL.md references external npm tooling and libraries. This is purpose-aligned, but users should verify package provenance and pin versions.
Credentials
Platform credentials such as Telegram, Discord, and WeChat tokens are expected for a bot deployment workflow, but they are not declared in the registry metadata and should be handled as secrets.
Persistence & Privilege
Docker, Vercel, webhook, and bot.deploy examples create long-running bot services. That is expected for this purpose, but users should know the bot may continue operating after setup.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install skylv-universal-bot-maker - After installation, invoke the skill by name or use
/skylv-universal-bot-maker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Renamed skill to "cross-platform-bot-builder" (previously "skylv-universal-bot-maker")
- Updated version to 1.0.2
- Added comprehensive feature documentation, supported platforms matrix, and quick start guides (CLI, code, config file)
- Documented unified API for message, command, and event handling
- Included detailed instructions for platform adapters (Telegram, Discord, WeChat)
- Added deployment guides for Docker and serverless environments
- Provided example utility functions and usage instructions
Metadata
Frequently Asked Questions
What is Skylv Universal Bot Maker?
Generate and deploy Telegram, WeChat, Discord, and other platform bots with unified API for messaging, commands, media, and user management. It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.
How do I install Skylv Universal Bot Maker?
Run "/install skylv-universal-bot-maker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Skylv Universal Bot Maker free?
Yes, Skylv Universal Bot Maker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Skylv Universal Bot Maker support?
Skylv Universal Bot Maker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Skylv Universal Bot Maker?
It is built and maintained by SKY-lv (@sky-lv); the current version is v1.0.0.
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