FunPay Assistant Skill for Openclaw

A specialized automation skill for FunPay sellers to manage customer inquiries and monitor account activity in real-time.

mirra87654321
v1.0.0
Feb 14, 2026
0
1.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install funpay-assistant

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is FunPay Assistant Skill?

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.

FunPay Assistant Skill Use Cases

  • Automatically answering customer questions regarding regional restrictions, specifically for Chile or VPN-related issues.
  • Providing instant responses to availability checks such as "In stock?" or "Are you online?" to maintain high response rates.
  • Sending real-time Telegram notifications when a buyer requests login consent for an account purchase.
  • Forwarding unrecognized or complex customer messages directly to the owner for manual intervention.

How FunPay Assistant Skill Works

  1. The core monitoring script, monitor.py, establishes a connection to the FunPay chat system to poll for new messages.
  2. Incoming messages are parsed and analyzed against a set of predefined logic rules and keywords.
  3. If a message matches a known query (e.g., stock status), the skill automatically sends the appropriate response back to the buyer.
  4. For critical events, such as login requests, the skill triggers a notification through a connected Telegram bot.
  5. Any messages that do not trigger an automated response are safely forwarded to the account owner to ensure no customer query is ignored.

FunPay Assistant Skill Setup

To get started with this skill within the Openclaw Skills environment, follow these steps:

  1. Ensure you have the necessary environment variables configured for FunPay access and Telegram bot integration.
  2. Install the required Python dependencies:
pip install -r requirements.txt
  1. Configure your automated response templates in the local configuration file.
  2. Execute the monitoring service:
python monitor.py

FunPay Assistant Skill Data Schema & Taxonomy

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.

FunPay Assistant Skill Advanced Features

  • Intelligent filtering for regional issues (VPN/Chile) to reduce manual support tickets.
  • Seamless Telegram bridge for remote monitoring and instant approval of account access.
  • Custom logic hooks for expanding response patterns as part of the Openclaw Skills framework.
  • Automated forwarding of unhandled messages to prevent communication gaps.

SKILL.md


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