Enables seamless multi-agent collaboration and communication within Telegram group chats by bypassing standard bot-to-bot messaging restrictions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install telegram-bot-chat
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-bot-chat using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill addresses a fundamental limitation in the Telegram Bot API where bots cannot natively see messages sent by other bots. By leveraging Openclaw Skills, developers can implement a robust communication layer using the sessions_send function and specific message routing logic. This allows multiple AI agents to collaborate, reply to one another, and maintain a coherent workflow within a shared Telegram group environment.
Through the implementation of specialized session keys and account-specific tool calls, this skill ensures that agents remain aware of each other's actions. It is an essential component for complex automation workflows where different agents handle specialized tasks within the same communication channel.
To deploy this skill across your agent environment, first install it to your primary workspace:
# Install to the main workspace skills directory
cp -r telegram-bot-chat /root/.openclaw/workspace/skills/
Next, replicate the skill across all secondary bot workspaces to ensure they can interpret the communication protocols:
# Define the source directory
WORKSPACE_SKILLS="/root/.openclaw/workspace/skills"
# Loop through and copy to all bot workspaces (workspace-2, workspace-3, etc.)
for skill_dir in $WORKSPACE_SKILLS/*/; do
if [ -d "$skill_dir" ]; then
skill_name=$(basename "$skill_dir")
for workspace_dir in /root/.openclaw/workspace*; do
if [ "$workspace_dir" != "$WORKSPACE_SKILLS" ]; then
mkdir -p "$workspace_dir/skills"
cp -r "$skill_dir" "$workspace_dir/skills/"
fi
done
fi
done
The skill relies on a specific metadata taxonomy for routing. The following table describes the required structure for Openclaw Skills integration:
| Attribute | Description | Required Format |
|---|---|---|
| sessionKey | Primary routing string for inter-agent chat | agent:[bot_name]:telegram:group:[group_id] |
| accountId | Unique ID of the bot performing the action | String (e.g., bot_token_hash or name) |
| channel | The communication platform | Fixed as telegram |
| target | The destination chat identifier | Telegram Group ID |
Loading
A content engineering tool designed to transform raw ideas into high-interaction social media posts using a data-backed 5-stage structure.

A sophisticated writing engine that transforms raw ideas into high-engagement Xiaohongshu posts using a proven 5-stage viral structure.

Automate the entire lifecycle of publishing long-form image and text notes on the Xiaohongshu Creator Platform.

An intelligent CRM bridge that syncs LinkedIn conversations with Google Sheets and automates contextual follow-up messaging.

A comprehensive creative companion for anime, illustration, character design, and animation production.

A specialized connector for sending quantitative trading signals from an AI agent to the FMZ platform via HTTP API.








































