What programming languages and frameworks does this skill support for building Telegram bots?

This skill supports Node.js with telegraf or grammY, and Python with python-telegram-bot or aiogram.

What monetization models can I implement in my Telegram bot?

You can implement freemium, subscription, per-use, ads, and affiliate models, plus Telegram's native Payments API for invoices and payment handling.

What are the main security issues this skill checks for when auditing a bot?

The skill validates against hardcoded bot tokens (HIGH severity), missing global error handlers (HIGH), no rate limiting (MEDIUM), in-memory sessions in production (MEDIUM), and missing typing indicators (LOW).

What deployment options does this skill cover for production Telegram bots?

This skill covers webhook-based deployment via Express, Vercel serverless, or Docker on Railway/Render, as an alternative to polling for development.

When should I use a different skill instead of this one?

Use `telegram-mini-app` for building a Mini App's web UI, `ai-wrapper-product` for deep AI model integration logic, `backend` for database persistence, `fintech-integration` for payment/subscription specifics, and `devops` for deployment/hosting details.

Skill

Build Advanced Telegram Bots

Name: Telegram Bot Builder
Availability: OnlineOnly
Author: Antigravity

Builds Telegram bots end-to-end: architecture, inline keyboards, monetization, webhook deployment, and security checks.

Get skill

Works with telegramnode.js pythonexpressvercel

Antigravity

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Spark score

out of 100

Updated 5 months ago

Version 1.0.0

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Why it matters

Develop sophisticated Telegram bots that solve real-world problems, ranging from simple automations to complex AI-driven applications. This asset covers bot architecture, API integration, user experience design, monetization, and scaling.

Outcomes

What it gets done

Design and implement Telegram bot architecture.

Integrate with the Telegram Bot API using Node.js or Python.

Implement monetization strategies and payment handling.

Deploy bots using webhook architecture for scalability.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-telegram-bot-builder | bash

Overview

Telegram Bot Builder

Covers building Telegram bots end-to-end: architecture (telegraf/grammY/python-telegram-bot), inline keyboards, monetization via Telegram Payments, webhook deployment, and a security/reliability validation checklist. Use when starting a Telegram bot project, adding interactive keyboards, planning monetization, or deploying to production; delegates Mini App, AI, database, and payment specifics to other skills.

What it does

This skill covers the full lifecycle of building a production Telegram bot: architecture and project structure (using telegraf or grammY on Node.js, or python-telegram-bot/aiogram on Python), interactive inline keyboards (single/multi-column, grid, URL buttons, and paginated lists), monetization (freemium, subscription, per-use, ads, affiliate models, plus Telegram's native Payments API for invoices and successful-payment handling), and production deployment via webhooks (Express + webhook, Vercel serverless, or Docker on Railway/Render) as an alternative to polling for development.

It also runs a validation pass against common bot mistakes, each with a severity rating and fix: hardcoded bot tokens (HIGH - move to BOT_TOKEN env var), missing global error handler (HIGH - add bot.catch()), no rate limiting (MEDIUM - add throttling via Bottleneck or similar), in-memory sessions in production (MEDIUM - use Redis or a database-backed session store), and missing typing indicators (LOW - add ctx.sendChatAction('typing') for slow operations).

When to use - and when NOT to

Use this skill when starting a new Telegram bot project, adding interactive keyboard flows, planning bot revenue, or deploying a bot to production with webhooks. It also delegates to related skills for adjacent concerns: Mini App/TWA integration routes to telegram-mini-app, AI/LLM chatbot logic routes to ai-wrapper-product, database persistence routes to backend, payment/subscription/billing specifics route to fintech-integration, and deployment/hosting routes to devops.

It is not the tool for building a Telegram Mini App's web UI itself (that's telegram-mini-app), nor for deep AI model integration logic beyond wiring it into bot handlers (that's ai-wrapper-product).

Inputs and outputs

Input is a bot concept, an existing bot codebase to audit, or a specific concern (architecture, keyboards, monetization, deployment). Output is working bot code (command handlers, inline keyboard flows, payment invoice handling, webhook server setup) plus, when auditing, a list of flagged issues with severity and fix action.

# Basic telegraf bot
import { Telegraf } from 'telegraf';
const bot = new Telegraf(process.env.BOT_TOKEN);
bot.start((ctx) => ctx.reply('Welcome!'));
bot.launch();

Integrations

Built around the Telegram Bot API and libraries telegraf/grammY (Node.js) and python-telegram-bot/aiogram (Python), Telegram's native Payments API for monetization, and deployment targets Express, Vercel, and Railway/Render (Docker). Composes with telegram-mini-app, backend, ai-wrapper-product, and workflow-automation for multi-skill bot workflows - e.g. an AI bot combines telegram-bot-builder, ai-wrapper-product, and backend; a bot with a Mini App combines telegram-bot-builder, telegram-mini-app, and frontend.

Who it's for

Developers building Telegram bots that need to scale to real users - covering not just command-handler basics but revenue models, session persistence, rate limiting, and production deployment.

FAQ

Common questions

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