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add-telegram

Add Telegram channel support to NanoClaw using the grammy library.

Updated Feb 24, 2026
Search Tags:#messaging#integration#multi-channel#chatbot#telegram#grammy#nanoclaw
One-click install
npx skills add https://github.com/webboty/flexclaw --skill add-telegram-webboty
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: add-telegram
Source: https://github.com/webboty/flexclaw/tree/main/.claude/skills/add-telegram
Command: npx skills add https://github.com/webboty/flexclaw --skill add-telegram-webboty

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill integrates Telegram as a first-class channel for NanoClaw so agents can communicate with users in Telegram groups and private chats without manual code edits or fragile ad-hoc routing.

Core Features & Use Cases

  • Deterministic code package that adds a Telegram Channel implementation, routing updates, configuration keys, and unit tests so the change can be applied and reverted reliably.
  • Handles mention-to-trigger translation, group vs private naming, media placeholders (photo, video, voice, document, sticker, location, contact), and typing indicators.
  • Provides interactive setup guidance for creating a bot token, syncing environment variables to container runtime, registering chats (tg:<id>), and optional Agent Swarm support.
  • Includes manifest and intent files to support three-way merges, automated tests, and a removal procedure for clean uninstallation.

Quick Start

Add Telegram channel to NanoClaw and walk me through creating a bot token, updating TELEGRAM_BOT_TOKEN and TELEGRAM_ONLY, and registering a chat so the bot can respond in Telegram.

Frequently Asked Questions about add-telegram

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add Telegram channel support to a chatbot agent?▼

You can add Telegram channel support by integrating the grammy library to handle routing and configuration keys like TELEGRAM_BOT_TOKEN, enabling agents to send and receive messages in private chats and groups.

How does mention-to-trigger translation work for Telegram group chats?▼

Mention-to-trigger translation maps bot mentions in Telegram group chats to agent triggers, allowing the bot to distinguish between group and private naming conventions and respond appropriately to targeted messages.

Can I handle media messages like photos and voice notes in a Telegram bot integration?▼

Yes, the Telegram channel integration provides media placeholders for photos, videos, voice notes, documents, stickers, locations, and contacts, allowing agents to process and acknowledge various media types.

What do I need to set up to deploy a multi-channel agent with Telegram?▼

Multi-channel agent deployment requires creating a Telegram bot token, syncing environment variables to container runtime, and registering chats using the tg:<id> format to enable bot responses.

Does the Telegram channel integration support clean uninstallation and testing?▼

Yes, the integration includes manifest and intent files for deterministic three-way merges, unit tests for validation, and a removal procedure to ensure clean and reliable uninstallation of the Telegram channel.

Are typing indicators supported in Telegram agent messaging?▼

Yes, typing indicators are supported in the Telegram channel implementation, providing real-time feedback to users when the agent is processing a message and preparing a response.

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