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telegram-businessTelegram business 搜索

Agent Skill

telegram-business 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

11,532

周安装

462

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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:telegram-business(Telegram business 搜索)
来源仓库:https://github.com/aiwithabidi/telegram-business
安装命令:
openclaw skills install telegram-business
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 telegram-business

简介

telegram-business 实现 Telegram 群组内的业务自动化流程。

  • 包含潜在客户表单、FAQ 匹配、预约与支付集成功能。
  • 适用于销售线索捕获与客户服务场景。telegram-business 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用前需配置支付接口与数据收集策略。
  • 建议遵守平台政策,确保用户知情同意。

SKILL.md

name
telegram-business
description
Telegram bot for business automation — lead capture forms, inline keyboard menus, FAQ matching, appointment booking flows, and payment integration. Use for building customer-facing Telegram bots, community management, and lead generation.
homepage
https://www.agxntsix.ai
license
MIT
compatibility
Python 3.10+, Telegram Bot Token from @BotFather
metadata
{"openclaw": {"emoji": "\�\�", "requires": {"env": ["TELEGRAM_BOT_TOKEN"]}, "primaryEnv": "TELEGRAM_BOT_TOKEN", "homepage": "https://www.agxntsix.ai"}}

Telegram Business Bot

Build business automation on Telegram — lead capture forms, appointment booking, FAQ bots, payments, and community management.

Quick Start

export TELEGRAM_BOT_TOKEN="123456:ABC-DEF..."

# Send a message
python3 {baseDir}/scripts/telegram_business.py send-message <chat_id> "Hello from your business bot!"

# Send inline keyboard
python3 {baseDir}/scripts/telegram_business.py send-menu <chat_id> "How can I help?" '[{"text":"📅 Book Appointment","callback_data":"book"},{"text":"❓ FAQ","callback_data":"faq"},{"text":"💬 Talk to Sales","callback_data":"sales"}]'

# Start lead capture
python3 {baseDir}/scripts/telegram_business.py send-lead-form <chat_id>

Bot Setup

1. Create Bot via @BotFather

  1. Open Telegram, search for @BotFather
  2. Send /newbot
  3. Choose name and username (must end in bot)
  4. Copy the token → set as TELEGRAM_BOT_TOKEN

2. Configure Bot

/setdescription - Business description shown on bot profile
/setabouttext - Short about text
/setuserpic - Bot avatar
/setcommands - Set command menu:
  start - Get started
  book - Book appointment
  faq - Frequently asked questions
  contact - Contact us
  help - Get help

3. Webhook Setup

# Set webhook (use your server URL)
python3 {baseDir}/scripts/telegram_business.py set-webhook "https://your-domain.com/webhook/telegram"

# Get webhook info
python3 {baseDir}/scripts/telegram_business.py get-webhook

# Delete webhook (switch to polling)
python3 {baseDir}/scripts/telegram_business.py delete-webhook

Available Commands

Messaging

# Send text
python3 {baseDir}/scripts/telegram_business.py send-message <chat_id> "Hello!"

# Send with HTML formatting
python3 {baseDir}/scripts/telegram_business.py send-message <chat_id> "<b>Bold</b> and <i>italic</i>" --html

# Send with Markdown
python3 {baseDir}/scripts/telegram_business.py send-message <chat_id> "**Bold** and _italic_" --markdown

# Reply to a message
python3 {baseDir}/scripts/telegram_business.py send-message <chat_id> "Got it!" --reply-to <message_id>

Inline Keyboards

# Simple menu (buttons in rows of 2)
python3 {baseDir}/scripts/telegram_business.py send-menu <chat_id> "Choose an option:" '[
  {"text":"Option A","callback_data":"opt_a"},
  {"text":"Option B","callback_data":"opt_b"},
  {"text":"Option C","callback_data":"opt_c"}
]'

# URL buttons
python3 {baseDir}/scripts/telegram_business.py send-menu <chat_id> "Visit us:" '[
  {"text":"🌐 Website","url":"https://example.com"},
  {"text":"📸 Instagram","url":"https://instagram.com/example"}
]'

# Answer callback query (acknowledge button press)
python3 {baseDir}/scripts/telegram_business.py answer-callback <callback_query_id> "Processing..."

# Edit message (update after button press)
python3 {baseDir}/scripts/telegram_business.py edit-message <chat_id> <message_id> "Updated text!"

Lead Capture

# Send lead capture form (multi-step inline flow)
python3 {baseDir}/scripts/telegram_business.py send-lead-form <chat_id>

# Process lead data (after collecting via conversation)
python3 {baseDir}/scripts/telegram_business.py process-lead '{"chat_id":123,"name":"John Doe","email":"john@example.com","phone":"+15551234567","interest":"AI automation","source":"telegram"}'

FAQ System

# Match question to FAQ
python3 {baseDir}/scripts/telegram_business.py faq-match "What are your business hours?"

# Send FAQ menu
python3 {baseDir}/scripts/telegram_business.py send-faq-menu <chat_id>

Media

# Send photo
python3 {baseDir}/scripts/telegram_business.py send-photo <chat_id> "https://example.com/image.jpg" "Caption here"

# Send document
python3 {baseDir}/scripts/telegram_business.py send-document <chat_id> "/path/to/file.pdf"

# Send contact card
python3 {baseDir}/scripts/telegram_business.py send-contact <chat_id> "+15551234567" "John" "Doe"

Lead Capture Flow

The bot guides users through a multi-step form:

  1. Start → Welcome message with menu buttons
  2. "Get Quote" → Asks for name
  3. User sends name → Asks for email
  4. User sends email → Asks for phone (optional)
  5. User sends phone → Asks for service interest (buttons)
  6. User selects service → Confirmation + thank you
  7. Lead data is output as JSON for CRM integration

Integration with CRM

# Capture lead from Telegram, score it, add to GHL
LEAD='{"name":"John","email":"john@x.com","phone":"+1555...","source":"telegram"}'
SCORE=$(python3 ../lead-gen-pipeline/{baseDir}/scripts/lead_scorer.py "$LEAD")
python3 ../ghl-crm/{baseDir}/scripts/ghl_api.py contacts create "$LEAD"

FAQ Automation

Define your FAQ in the script's FAQ_DATABASE:

FAQ_DATABASE = [
    {"q": "What are your hours?", "a": "We're open Mon-Fri 9am-6pm EST.", "keywords": ["hours", "open", "schedule"]},
    {"q": "Where are you located?", "a": "123 Main St, New York, NY", "keywords": ["location", "address", "where"]},
    {"q": "How much does it cost?", "a": "Plans start at $99/mo. Reply 'pricing' for details.", "keywords": ["cost", "price", "pricing", "how much"]},
]

The FAQ matcher uses keyword matching + fuzzy similarity. For AI-powered matching, pipe through the LLM.

Payment Integration

Telegram supports native payments via Payment Providers (Stripe, etc.):

# Send invoice
python3 {baseDir}/scripts/telegram_business.py send-invoice <chat_id> '{
  "title": "Consultation Fee",
  "description": "1-hour AI automation consultation",
  "payload": "consultation_001",
  "provider_token": "STRIPE_TOKEN",
  "currency": "USD",
  "prices": [{"label": "Consultation", "amount": 9900}]
}'

Note: amount is in smallest currency unit (cents for USD). $99.00 = 9900.

Group Management

# Get chat info
python3 {baseDir}/scripts/telegram_business.py get-chat <chat_id>

# Get member count
python3 {baseDir}/scripts/telegram_business.py get-member-count <chat_id>

# Pin a message
python3 {baseDir}/scripts/telegram_business.py pin-message <chat_id> <message_id>

# Set chat description
python3 {baseDir}/scripts/telegram_business.py set-description <chat_id> "Welcome to our community!"

Webhook Payload Handling

When using webhooks, incoming updates look like:

Message:

{"update_id": 123, "message": {"chat": {"id": 456}, "from": {"id": 789, "first_name": "John"}, "text": "/start"}}

Callback (button press):

{"update_id": 124, "callback_query": {"id": "abc", "data": "book", "message": {"chat": {"id": 456}}}}

Parse with:

python3 {baseDir}/scripts/telegram_business.py parse-update '<json>'

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

📅 Need help setting up OpenClaw for your business? Book a free consultation

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能力概览

能力 1

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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。

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需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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