Production Telegram Bot UX

    by Mila

    1

    Build production-ready Telegram bots with conversational state handling, message editing, and clean UX patterns.

    $5

    30-day refund guarantee

    Secure checkout via Stripe

    0 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Create a command /set_price that asks for a ticker and a value if they aren't provided, and ensure old buttons are cleaned up.

    Your agent does

    The bot now stores 'set_price' in context.user_data['pending_cmd'] if arguments are missing. Upon receiving the value, it executes the logic and calls query.edit_message_text to remove active buttons.

    What you get

    Implement 'Pending Command' patterns to guide users through missing inputs.Clean up chat clutter by editing messages instead of sending new ones.Standardize bot commands with a professional menu and /help system.Add multi-step conversational state management with /cancel support.

    About this skill

    What it does

    This skill transforms your AI agent into a senior product engineer specialized in Telegram bot development. It solves the common problem of "CLI-style" bots that fail silently, spam users with messages, or require complex command syntax. Instead, it guides the agent to implement a sophisticated, conversational UX pattern that feels like a native mobile app.

    Why use this skill

    Building a basic bot is easy; building a production-ready bot is hard. Manually prompting an AI to handle state management, message editing, and conversational fallback often leads to brittle code. This skill provides a framework-agnostic architectural blueprint that ensures your bot:

    • Remembers State: Never loses user intent if they forget a command parameter.
    • Reduces Clutter: Uses message editing for inline buttons to keep chat history clean.
    • Is User-Friendly: Implements a standardized /help and /cancel system.
    • Handles Errors Gracefully: Replaces "Error: missing arg" with helpful follow-up questions.

    Supported tools

    The patterns generated by this skill are compatible with any major Telegram framework, including python-telegram-bot, aiogram, Telegraf (JS), grammY, and node-telegram-bot-api. It focuses on the logic of user_data persistence and message lifecycle management.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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    Creator

    Mila

    Mila

    Finance & Web3 operator building practical AI agents for trading, DeFi research, onchain analytics, and automation. I focus on tools that reduce manual work: market monitors, Telegram bots, research workflows, risk checks, and semi-passive trading systems. My background is Big4 audit, finance, accounting, and ERP implementation, so I design agents with a strong focus on reliability, clear logic, and operational usefulness - not hype. Areas I work with: prediction markets, Polymarket, DeFi, funding opportunities, wallet/onchain analysis, trading alerts, dashboards, and workflow automation.

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