A sophisticated UI enhancement that adds dynamic, context-aware CTA buttons to Telegram responses for streamlined interaction.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tg-smart-cta
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 tg-smart-cta 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 Telegram Smart Launcher?
The Telegram Smart Launcher skill empowers AI agents to move beyond simple text replies by incorporating a Smart Launcher UI directly into the chat interface. By leveraging Openclaw Skills, developers can create a more engaging and efficient user experience where the agent anticipates the user's next steps based on the time of day and the nature of the current task. This skill ensures that users have immediate access to high-value actions without needing to type full commands, effectively bridging the gap between passive information delivery and active task management.
Telegram Smart Launcher Use Cases
- Providing morning briefings with one-tap access to daily agendas or commute status.\n- Offering task-specific actions like Deep Research or Task Progress during peak work hours.\n- Managing end-of-day recaps and planning for the following day's schedule.\n- Enabling quick Manual Input fallbacks to ensure users maintain full control over the conversation.\n- Transitioning from a finished task to the next logical step using pre-defined Next Steps buttons.
How Telegram Smart Launcher Works
- The agent analyzes the current time and the user's interaction context.\n2. Based on the Button Selection Logic, the agent identifies the most relevant categories such as Morning, Work, Wrap-up, or Night.\n3. The agent constructs a message object utilizing the message tool with a defined buttons array.\n4. Each button is assigned specific text and callback_data that maps to follow-up actions or queries.\n5. The user interacts with the Smart Launcher UI, triggering the agent to process the callback data as a new intent.
Telegram Smart Launcher Setup
To integrate this into your agent using Openclaw Skills, ensure your Telegram bot is properly configured and the skill is enabled in your project environment.\n\nbash\n# Initialize the skill within your agent environment\nopenclaw add telegram-smart-launcher\n\n\nEnsure your message tool supports the buttons parameter as part of the Telegram API interaction layer. You should also configure your agent's system prompt to refer to the time-based logic found in the references directory.
Telegram Smart Launcher Data Schema & Taxonomy
The skill utilizes a structured button array format compatible with the Telegram Bot API inline keyboards. Data is organized as follows:\n\n| Field | Type | Description |\n| :--- | :--- | :--- |\n| text | String | The label displayed on the button (supports emojis). |\n| callback_data | String | The command or text sent back to the agent when the button is pressed. |\n| buttons | Array | A nested array of button objects representing rows and columns in the UI. |
Telegram Smart Launcher Advanced Features
- Dynamic time-based preset switching for highly personalized morning and evening routines.\n- Context-aware task mapping that adjusts button layouts based on administrative vs. creative workflows.\n- Support for multi-row layouts to handle complex decision trees within a single message using Openclaw Skills.\n- Automatic fallback mechanisms to Manual Input to prevent dead-ends in user interactions.\n- Integration with external logic files like time_logic.md for modular button behavior definition.
SKILL.md
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