A specialized framework for B2B Sales Development Representatives to automate outreach, lead qualification, and large file distribution on Telegram.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install telegram-toolkit
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install telegram-toolkit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Telegram Toolkit is a robust set of best practices and templates designed to transform Telegram into a high-performance B2B sales channel. By leveraging Openclaw Skills, developers can implement sophisticated bot commands and inline keyboards that facilitate seamless discovery and qualification. This toolkit is particularly valuable for businesses operating in tech, crypto, or regional markets where Telegram is the primary communication medium, offering advantages like no messaging window restrictions and a massive 2GB file limit for sharing technical catalogs and factory tours.
Integrating this skill allows for a structured approach to SDR work, moving away from fragmented messaging to a standardized, CRM-aligned workflow. It empowers Openclaw Skills to handle the repetitive aspects of lead management, such as initial greetings and BANT qualification, while ensuring that human representatives can step in at the most critical moments of the sales cycle.
To deploy this skill within your Openclaw Skills environment, follow these steps:
# 1. Create a bot via @BotFather on Telegram to obtain your API Token
# 2. Add your token to your secure environment variables
echo "TELEGRAM_BOT_TOKEN=your_token_here" >> secrets.sh
# 3. Register the standard command set with @BotFather
/setcommands
# 4. Configure your CRM webhook to listen for telegram_organic lead sources
The skill organizes lead information and interaction history using a structured metadata approach:
| Data Point | Logic | Storage Type |
|---|---|---|
| User Profile | Source, Language, Username | CRM Record |
| BANT Status | Qualification progress and values | JSON Metadata |
| File Logs | Records of catalogs and videos delivered | Activity Feed |
| Command History | Last used commands (/quote, /catalog) | State Machine |
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Schedule and deliver messages in timed segments to simulate human-like communication and avoid spam detection.

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