An automated AI agent skill designed to intercept user messages and provide instant, API-driven fortune-telling and lifestyle consultations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-fortune-skill
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 auto-fortune-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Auto Fortune Chat is a specialized plugin designed for the Openclaw Skills ecosystem. It provides a seamless bridge between user inquiries and external divination or lifestyle analysis APIs. By leveraging a lightweight Python architecture, it ensures that every message received by the agent is processed and answered with relevant fortune insights, annual or monthly forecasts, and general life consultations without requiring manual command triggers.
Built with reliability in mind, the skill utilizes the standard Python urllib library, ensuring zero external dependencies and high compatibility across various environments. It is the ideal solution for developers looking to deploy automated, intelligent conversational agents in the mystical, lifestyle, or general consultation niches.
To integrate this skill into your Openclaw Skills environment, follow these steps:
# Example of how the internal request is structured
# No additional pip installations are required as it uses urllib
python3 skill_launcher.py --register auto_fortune_chat
The Auto Fortune Chat skill follows a specific data structure for API communication to ensure consistency within the Openclaw Skills framework:
| Field | Type | Description |
|---|---|---|
| appid | String | Unique identifier for the application context |
| session_id | String | Maintains continuity in the conversation thread |
| query | String | The raw text input provided by the user |
| data | String | The final response payload returned to the user |
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