L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Développement · SKILL.md

telegram-bot-builder

telegram-bot-builder

Builds Telegram bots using the Bot API (grammy/telegraf/python-telegram-bot). Use when the user wants to create a Telegram bot, handle commands, build inline keyboards, process callbacks, send media, build conversational flows, handle payments (Telegram Stars), or create Mini Apps. Trigger words: telegram bot, telegram integration, telegram commands, inline…

Independent GitHub snapshot · Automated classification · Original documentation governs

Tterminalskills / skillsApache-2.0

Documentation de la Skill

GitHub

name: telegram-bot-builder description: >- Builds Telegram bots using the Bot API (grammy/telegraf/python-telegram-bot). Use when the user wants to create a Telegram bot, handle commands, build inline keyboards, process callbacks, send media, build conversational flows, handle payments (Telegram Stars), or create Mini Apps. Trigger words: telegram bot, telegram integration, telegram commands, inline keyboard, telegram webhook, telegram polling, telegram mini app, telegram payments, BotFather, grammy, telegraf. license: Apache-2.0 compatibility: "Node.js 18+ or Python 3.10+. Requires a Telegram bot token from @BotFather." metadata: author: terminal-skills version: "1.1.0" category: automation repository: https://github.com/grammyjs/grammY tags: ["telegram", "bot", "messaging", "chatbot"]

Telegram Bot Builder

Overview

Builds production-ready Telegram bots covering the full Bot API surface: commands, inline keyboards, callback queries, conversations with state machines, media handling, group management, payments, and Mini Apps. Supports both long polling (development) and webhooks (production).

Instructions

1. Bot Creation

  1. Message @BotFather on Telegram
  2. Send /newbot, choose name and username
  3. Save the bot token (format: 123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11)
  4. Configure with /setcommands, /setdescription, /setabouttext

2. Project Scaffolding

Recommended frameworks by language:

Node.js — grammY (recommended):

npm init -y && npm install grammy @grammyjs/conversations

Node 20.6+ loads env files natively: node --env-file=.env bot.js (no dotenv needed).

Node.js — Telegraf (4.16.3 is its latest release; it lags behind newer Bot API features, so prefer grammY for new bots):

npm install telegraf

Python — python-telegram-bot:

pip install python-telegram-bot       # v22, async API, Python 3.10+
# bot.py
import os
from telegram import Update
from telegram.ext import Application, CommandHandler, ContextTypes

async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
    await update.message.reply_text("Welcome!")

app = Application.builder().token(os.environ["BOT_TOKEN"]).build()
app.add_handler(CommandHandler("start", start))
app.run_polling()

Standard project structure:

telegram-bot/
├── bot.js                # Entry point, bot initialization
├── handlers/
│   ├── commands.js       # /start, /help, custom commands
│   ├── callbacks.js      # Inline keyboard callback handlers
│   ├── conversations.js  # Multi-step conversation flows
│   └── middleware.js      # Auth, logging, rate limiting
├── keyboards/            # Inline and reply keyboard builders
├── services/             # Business logic
├── .env                  # BOT_TOKEN, WEBHOOK_URL, WEBHOOK_SECRET, ADMIN_ID (gitignored)
└── package.json

3. Core Patterns (grammY)

Bot setup (ESM, "type": "module" in package.json):

import { Bot, InlineKeyboard, InputFile, session, webhookCallback } from 'grammy';
import { conversations, createConversation } from '@grammyjs/conversations';

const bot = new Bot(process.env.BOT_TOKEN);
bot.catch((err) => console.error('Update failed:', err.error));

Basic command handler:

bot.command('start', async (ctx) => {
  await ctx.reply('Welcome!', {
    reply_markup: {
      inline_keyboard: [[
        { text: '📊 Dashboard', callback_data: 'dashboard' },
        { text: '⚙️ Settings', callback_data: 'settings' }
      ]]
    }
  });
});

Callback query handler:

bot.callbackQuery('dashboard', async (ctx) => {
  await ctx.answerCallbackQuery();
  await ctx.editMessageText('Here is your dashboard...', {
    reply_markup: backButton
  });
});

Conversation (conversations plugin v2; no session needed):

async function onboarding(conversation, ctx) {
  await ctx.reply('What is your name?');
  const name = await conversation.waitFor('message:text');
  await ctx.reply('What is your email?');
  const email = await conversation.waitFor('message:text');
  await ctx.reply(`Thanks ${name.message.text}! Registered with ${email.message.text}`);
}

bot.use(conversations());
bot.use(createConversation(onboarding, 'onboarding'));   // function first, name second
bot.command('register', (ctx) => ctx.conversation.enter('onboarding'));

Register conversations() after any session() middleware and before the conversation. Code in a conversation is replayed, so wrap side effects (database writes, API calls) in conversation.external(...).

Middleware for auth:

function adminOnly(ctx, next) {
  if (ctx.from?.id !== Number(process.env.ADMIN_ID)) {
    return ctx.reply('⛔ Not authorized');
  }
  return next();
}
bot.command('admin', adminOnly, handleAdmin);   // grammY: bot.command(name, ...middleware)

4. Keyboard Types

Inline Keyboard (attached to message):

  • Callback buttons (callback_data) — triggers callbackQuery handler
  • URL buttons (url) — opens a link
  • Web App buttons (web_app) — opens a Mini App
  • Switch Inline buttons (switch_inline_query) — triggers inline mode

Reply Keyboard (replaces phone keyboard):

  • Custom keyboard with predefined responses
  • one_time_keyboard: true to auto-hide after selection
  • resize_keyboard: true for compact display

Remove Keyboard:

{ reply_markup: { remove_keyboard: true } }

5. Polling vs Webhooks

Long Polling (development):

bot.start(); // Calls getUpdates in a loop
  • No public URL needed
  • Slightly higher latency
  • Good for development and low-traffic bots

Webhooks (production):

import express from 'express';
const app = express();
app.use(express.json());
// A secret header proves the request comes from Telegram; keep the token out of the URL
app.post('/telegram/webhook', webhookCallback(bot, 'express', { secretToken: process.env.WEBHOOK_SECRET }));
app.listen(3000);

await bot.api.setWebhook('https://bots.northwind.dev/telegram/webhook', {
  secret_token: process.env.WEBHOOK_SECRET,
});
  • Requires a public HTTPS URL on port 443, 80, 88 or 8443, with a valid (non-wildcard) certificate and no redirects
  • Answer within about 10 seconds or Telegram re-sends the update; push slow work to a queue
  • Webhook and getUpdates are mutually exclusive: call bot.api.deleteWebhook() before going back to polling

6. Media Handling

// Send photo
await ctx.replyWithPhoto(new InputFile('./image.png'), { caption: 'Check this out' });

// Send document
await ctx.replyWithDocument(new InputFile(buffer, 'report.pdf'));

// Handle received photos
bot.on('message:photo', async (ctx) => {
  const file = await ctx.getFile();
  const url = `https://api.telegram.org/file/bot${process.env.BOT_TOKEN}/${file.file_path}`;
});

7. Bot API Limits

Current Bot API is 10.x (10.3, August 2026); check the changelog at core.telegram.org/bots/api-changelog for new features.

  • Messages: about 1 per second per chat, 20 per minute in one group, about 30 per second for broadcasts overall (paid broadcasts allow up to 1000/s, charged in Stars). Over the limit gives HTTP 429 with retry_after; honor it (grammY: @grammyjs/auto-retry)
  • Inline results: 50 per query
  • File upload: 50 MB per file through the cloud Bot API (a self-hosted Bot API server raises this)
  • File download: 20 MB via getFile
  • Message length: 4096 characters; caption: 1024 characters
  • Inline keyboard: 100 buttons per message
  • Callback data: 1-64 bytes

8. Deployment

  • Simple: Fly.io, Render, Railway or any container host (webhook mode)
  • Serverless: Vercel/AWS Lambda with webhook adapter
  • VPS: systemd service with auto-restart
  • Docker: Lightweight Node.js container with health checks

Examples

Example 1: Task Management Bot

Input: "Build a Telegram bot for my team to manage tasks. Users should be able to create tasks, assign them, set deadlines, and get reminders."

Output: A grammY bot with:

  • /newtask command opening a conversation flow (title → description → assignee → deadline)
  • Inline keyboard for task status updates (To Do → In Progress → Done)
  • Daily reminder messages for overdue tasks using node-cron
  • /mytasks showing personal task list with inline navigation
  • SQLite database for persistence via better-sqlite3

Example 2: Content Publishing Bot

Input: "Create a Telegram bot that lets me draft posts, preview them, schedule them to a channel, and track engagement."

Output: A grammY bot with:

  • Multi-step drafting flow with text, photos, and formatting preview
  • Schedule picker with inline calendar keyboard
  • Auto-publishing to target channel via bot.api.sendMessage(channelId, ...)
  • Post links with a per-post tracking parameter (the Bot API does not expose channel view counts to bots)
  • /drafts command listing scheduled posts with edit/delete options

Guidelines

  • Always register bot.catch(...) — unhandled errors in handlers stop the bot
  • Use ctx.answerCallbackQuery() to dismiss the loading indicator on buttons
  • Store the bot token in env vars, never hardcode or log it; revoke a leaked one with /revoke in @BotFather
  • Payments for digital goods use Telegram Stars (currency XTR); answer pre_checkout_query within 10 seconds
  • Use parse_mode: 'HTML' or 'MarkdownV2' for rich text (MarkdownV2 requires escaping special chars)
  • Implement graceful shutdown: bot.stop() on SIGINT/SIGTERM
  • For groups: handle my_chat_member updates to track when bot is added/removed
  • Set commands list via bot.api.setMyCommands() for autocomplete
  • Show progress with await ctx.replyWithChatAction('typing') (or the auto-chat-action plugin) for long operations
  • Rate limit user interactions to prevent abuse
  • For conversations: always handle the case where the user sends an unexpected message type
Skills enregistrées