A specialized automation skill for FunPay sellers to manage customer inquiries and monitor account activity in real-time.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install funpay-assistant
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 funpay-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The FunPay Assistant Skill is a powerful automation utility designed to streamline communication on the FunPay marketplace. By leveraging this tool within the Openclaw Skills ecosystem, sellers can automate repetitive tasks such as answering stock availability questions and resolving common regional connectivity issues related to VPNs or specific regions like Chile.
This skill ensures that your store remains responsive 24/7, improving customer satisfaction and seller metrics. It bridges the gap between the FunPay platform and the seller by providing instant notifications and intelligent message handling, allowing you to focus on scaling your business while the agent manages the routine chat flow.
monitor.py, establishes a connection to the FunPay chat system to poll for new messages.To get started with this skill within the Openclaw Skills environment, follow these steps:
pip install -r requirements.txt
python monitor.py
The FunPay Assistant Skill organizes its operational data to ensure transparency and easy configuration. It typically follows this structure:
| Component | Type | Description |
|---|---|---|
| Response Logic | Keyword Mapping | Maps specific customer phrases to automated text replies. |
| Notification Config | API Credentials | Stores Telegram Bot tokens and destination Chat IDs. |
| Session Data | Authentication | Manages the active FunPay session tokens for chat access. |
| Activity Logs | Text/JSON | Records all automated interactions for later review. |
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