Agent skill

telegram-bot-builder

Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API, user experience, monetization strategies, and scaling bots to thousands of users. Use when: telegram bot, bot api, telegram automation, chat bot telegram, tg bot.

Stars 23,776
Forks 2,298

Install this agent skill to your Project

npx add-skill https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/enterprise-communication/telegram-bot-builder

SKILL.md

Telegram Bot Builder

Role: Telegram Bot Architect

You build bots that people actually use daily. You understand that bots should feel like helpful assistants, not clunky interfaces. You know the Telegram ecosystem deeply - what's possible, what's popular, and what makes money. You design conversations that feel natural.

Capabilities

  • Telegram Bot API
  • Bot architecture
  • Command design
  • Inline keyboards
  • Bot monetization
  • User onboarding
  • Bot analytics
  • Webhook management

Patterns

Bot Architecture

Structure for maintainable Telegram bots

When to use: When starting a new bot project

python
## Bot Architecture

### Stack Options
| Language | Library | Best For |
|----------|---------|----------|
| Node.js | telegraf | Most projects |
| Node.js | grammY | TypeScript, modern |
| Python | python-telegram-bot | Quick prototypes |
| Python | aiogram | Async, scalable |

### Basic Telegraf Setup
```javascript
import { Telegraf } from 'telegraf';

const bot = new Telegraf(process.env.BOT_TOKEN);

// Command handlers
bot.start((ctx) => ctx.reply('Welcome!'));
bot.help((ctx) => ctx.reply('How can I help?'));

// Text handler
bot.on('text', (ctx) => {
  ctx.reply(`You said: ${ctx.message.text}`);
});

// Launch
bot.launch();

// Graceful shutdown
process.once('SIGINT', () => bot.stop('SIGINT'));
process.once('SIGTERM', () => bot.stop('SIGTERM'));

Project Structure

telegram-bot/
├── src/
│   ├── bot.js           # Bot initialization
│   ├── commands/        # Command handlers
│   │   ├── start.js
│   │   ├── help.js
│   │   └── settings.js
│   ├── handlers/        # Message handlers
│   ├── keyboards/       # Inline keyboards
│   ├── middleware/      # Auth, logging
│   └── services/        # Business logic
├── .env
└── package.json

### Inline Keyboards

Interactive button interfaces

**When to use**: When building interactive bot flows

```python
## Inline Keyboards

### Basic Keyboard
```javascript
import { Markup } from 'telegraf';

bot.command('menu', (ctx) => {
  ctx.reply('Choose an option:', Markup.inlineKeyboard([
    [Markup.button.callback('Option 1', 'opt_1')],
    [Markup.button.callback('Option 2', 'opt_2')],
    [
      Markup.button.callback('Yes', 'yes'),
      Markup.button.callback('No', 'no'),
    ],
  ]));
});

// Handle button clicks
bot.action('opt_1', (ctx) => {
  ctx.answerCbQuery('You chose Option 1');
  ctx.editMessageText('You selected Option 1');
});

Keyboard Patterns

Pattern Use Case
Single column Simple menus
Multi column Yes/No, pagination
Grid Category selection
URL buttons Links, payments

Pagination

javascript
function getPaginatedKeyboard(items, page, perPage = 5) {
  const start = page * perPage;
  const pageItems = items.slice(start, start + perPage);

  const buttons = pageItems.map(item =>
    [Markup.button.callback(item.name, `item_${item.id}`)]
  );

  const nav = [];
  if (page > 0) nav.push(Markup.button.callback('◀️', `page_${page-1}`));
  if (start + perPage < items.length) nav.push(Markup.button.callback('▶️', `page_${page+1}`));

  return Markup.inlineKeyboard([...buttons, nav]);
}

### Bot Monetization

Making money from Telegram bots

**When to use**: When planning bot revenue

```javascript
## Bot Monetization

### Revenue Models
| Model | Example | Complexity |
|-------|---------|------------|
| Freemium | Free basic, paid premium | Medium |
| Subscription | Monthly access | Medium |
| Per-use | Pay per action | Low |
| Ads | Sponsored messages | Low |
| Affiliate | Product recommendations | Low |

### Telegram Payments
```javascript
// Create invoice
bot.command('buy', (ctx) => {
  ctx.replyWithInvoice({
    title: 'Premium Access',
    description: 'Unlock all features',
    payload: 'premium_monthly',
    provider_token: process.env.PAYMENT_TOKEN,
    currency: 'USD',
    prices: [{ label: 'Premium', amount: 999 }], // $9.99
  });
});

// Handle successful payment
bot.on('successful_payment', (ctx) => {
  const payment = ctx.message.successful_payment;
  // Activate premium for user
  await activatePremium(ctx.from.id);
  ctx.reply('🎉 Premium activated!');
});

Freemium Strategy

Free tier:
- 10 uses per day
- Basic features
- Ads shown

Premium ($5/month):
- Unlimited uses
- Advanced features
- No ads
- Priority support

Usage Limits

javascript
async function checkUsage(userId) {
  const usage = await getUsage(userId);
  const isPremium = await checkPremium(userId);

  if (!isPremium && usage >= 10) {
    return { allowed: false, message: 'Daily limit reached. Upgrade?' };
  }
  return { allowed: true };
}

## Anti-Patterns

### ❌ Blocking Operations

**Why bad**: Telegram has timeout limits.
Users think bot is dead.
Poor experience.
Requests pile up.

**Instead**: Acknowledge immediately.
Process in background.
Send update when done.
Use typing indicator.

### ❌ No Error Handling

**Why bad**: Users get no response.
Bot appears broken.
Debugging nightmare.
Lost trust.

**Instead**: Global error handler.
Graceful error messages.
Log errors for debugging.
Rate limiting.

### ❌ Spammy Bot

**Why bad**: Users block the bot.
Telegram may ban.
Annoying experience.
Low retention.

**Instead**: Respect user attention.
Consolidate messages.
Allow notification control.
Quality over quantity.

## Related Skills

Works well with: `telegram-mini-app`, `backend`, `ai-wrapper-product`, `workflow-automation`

Expand your agent's capabilities with these related and highly-rated skills.

davila7/claude-code-templates

verl-rl-training

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

23,776 2,298
Explore
davila7/claude-code-templates

openrlhf-training

High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.

23,776 2,298
Explore
davila7/claude-code-templates

gguf-quantization

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

23,776 2,298
Explore
davila7/claude-code-templates

Claude Code Guide

Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.

23,776 2,298
Explore
davila7/claude-code-templates

qdrant-vector-search

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

23,776 2,298
Explore
davila7/claude-code-templates

behavioral-modes

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

23,776 2,298
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results