An automated provisioning tool for creating dedicated AI agents with isolated workspaces and bound Telegram groups.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install create-agent-with-telegram-group
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install create-agent-with-telegram-group using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Create Agent with Telegram Group?
This skill is designed to simplify the lifecycle of deploying new AI entities by leveraging Openclaw Skills for deterministic provisioning. It automates the complex process of creating a unique Telegram group, establishing a local workspace, and configuring the agent to respond naturally without requiring an explicit mention. By using a script-first approach, it ensures that your configuration remains consistent and secure.
Through the integration of Openclaw Skills, developers can quickly scale their agent infrastructure. The skill handles everything from model discovery and configuration backups to browser-based automation for Telegram group management, providing a robust foundation for one-agent-one-group setups.
Create Agent with Telegram Group Use Cases
- Deploying a specialized project agent with its own dedicated communication channel.
- Setting up repeatable agent environments with standardized USER.md, IDENTITY.md, and SOUL.md files.
- Migrating manual agent configurations into a structured, automated Openclaw Skills workflow.
- Establishing private, high-focus workspaces for AI coding tasks that require dedicated Telegram interaction.
How Create Agent with Telegram Group Works
- The skill discovers available LLM models by reading the local configuration file to ensure compatibility.
- It initializes a dedicated workspace directory at a standardized path to keep agent data isolated.
- A new Telegram group is created via browser automation, ensuring the agent has a unique endpoint for communication.
- The configuration script updates the agent list and bindings while enabling the no-mention reply mode for better UX.
- Gateway settings are applied through a hot-reload or a user-confirmed restart to activate the new agent.
- Initialization files are generated to define the agent's persona, mission, and user preferences.
- A verification loop confirms successful deployment through a ping-pong test in the new Telegram group.
Create Agent with Telegram Group Setup
To get started with this provisioning workflow within Openclaw Skills, ensure your environment is prepared with the necessary Python dependencies. You can verify the required scripts by running:
python3 scripts/provision_config.py --help
python3 scripts/init_workspace.py --help
Ensure that your Telegram session is accessible via a Chrome relay profile to allow the browser automation to create groups on your behalf.
Create Agent with Telegram Group Data Schema & Taxonomy
The skill organizes data across several directories and files to maintain a clean environment. This structure is central to the management of Openclaw Skills.
| Location | Data Type | Description |
|---|---|---|
~/.openclaw/openclaw.json |
Configuration | Stores agent definitions, bindings, and gateway settings. |
~/claw-<agent-name>/ |
Workspace | The root directory for agent-specific files and logs. |
IDENTITY.md |
Metadata | Defines the vibe, display name, and emoji for the agent. |
SOUL.md |
Logic | Contains the role, mission, and operational constraints. |
USER.md |
Personalization | Stores user-specific preferences and language goals. |
Create Agent with Telegram Group Advanced Features
- Automatic configuration backups with timestamped recovery points before any JSON modifications.
- Browser-based user-account flow for Telegram operations that bypass standard Bot API limitations.
- Idempotent provisioning logic that detects existing workspaces to prevent data duplication.
- Configurable gateway reload modes (hybrid/manual) to ensure stability during updates.
- Support for custom initialization preferences allowing users to skip or include specific persona files.
SKILL.md
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