A powerful payment processing skill that automates Fattmerchant data management and transaction workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fattmerchant
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 fattmerchant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Fattmerchant is a subscription-based payment processing platform built for transparency and scalability. This Openclaw Skills integration empowers AI agents to manage the entire payment lifecycle, from customer onboarding to invoice generation and transaction reporting. By leveraging the Membrane framework, it eliminates the need for manual API key handling and simplifies complex financial integrations.
Developers can use this skill to create robust financial automations that interact with customers, payment methods, and subscriptions. Whether you are building an automated billing bot or a financial analytics dashboard, this integration provides the necessary tools to handle Fattmerchant data securely and efficiently.
To begin using this skill, install the necessary CLI and authenticate your session:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
membrane connection ensure "https://fattmerchant.com/" --json
Once the connection state is READY, you can begin querying actions.
The skill organizes data into several core entities related to payment processing:
| Entity | Description |
|---|---|
| Customer | Stores contact info and linked payment methods. |
| Transaction | Details of individual payments, refunds, and statuses. |
| Invoice | Records of billing events and due dates. |
| Subscription | Ongoing recurring payment plans and cycles. |
| Product | Catalog items including pricing, taxes, and discounts. |
| Merchant | High-level organization data and reporting batches. |
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