A powerful financial integration for AI agents to manage international payments, currency exchange, and multi-currency accounts via the IBanFirst platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ibanfirst
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 ibanfirst 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 IBanFirst?
The IBanFirst skill for Openclaw Skills enables AI coding agents to interact seamlessly with global financial services. By leveraging the Membrane framework, this skill provides a secure layer for managing beneficiaries, executing payouts, and tracking transactions without the developer needing to manually handle complex authentication or credential refreshing.
This integration is designed for finance teams and businesses that require automated international treasury operations. It bridges the gap between AI-driven workflows and the IBanFirst API, allowing agents to perform financial tasks safely and efficiently while adhering to enterprise-grade security standards.
IBanFirst Use Cases
- Automating international B2B payments and payouts through AI-driven triggers.
- Synchronizing multi-currency account balances and transaction histories with internal databases.
- Managing beneficiary records and verifying currency exchange rates in real-time.
- Building custom treasury management workflows that react to financial events.
- Streamlining cross-border transfers for global commerce operations using Openclaw Skills.
How IBanFirst Works
- The Membrane CLI is used to authenticate the agent and establish a secure session.
- A connection is established to the IBanFirst domain, which handles the OAuth or API key handshake server-side.
- The agent uses natural language intent to search for specific financial actions (e.g., 'list transactions') available within the skill.
- Actions are executed via the CLI, with Membrane automatically injecting the required headers and handling token persistence.
- If a specific endpoint is not covered by a pre-built action, the agent can perform proxy requests directly to the IBanFirst API.
IBanFirst Setup
First, install the Membrane CLI globally to enable the integration:
npm install -g @membranehq/cli@latest
Authenticate your agent by specifying the client name (e.g., openclaw):
membrane login --tenant --clientName=openclaw
Create a secure connection to the IBanFirst platform:
membrane connection ensure "https://ibanfirst.com" --json
If the connection state is BUILDING, poll until it reaches the READY state:
membrane connection get <connection_id> --wait --json
IBanFirst Data Schema & Taxonomy
The IBanFirst skill organizes data through a structured schema of financial entities. When utilizing Openclaw Skills, you can interact with the following data types:
| Entity | Description |
|---|---|
| Accounts | Details on multi-currency accounts and available balances. |
| Beneficiaries | Records of external recipients for international transfers. |
| Payouts | Data regarding sent payments and their current status. |
| Transactions | A comprehensive ledger of incoming and outgoing funds. |
| Rates | Real-time currency exchange data for treasury planning. |
| Transfers | Formal requests for moving funds between accounts. |
IBanFirst Advanced Features
- Natural language action discovery to find the most efficient API endpoints for any financial task.
- Secure Proxy Requests allowing direct IBanFirst API interaction with automatic credential injection.
- Long-polling support for asynchronous connection states and background setup.
- Machine-readable JSON output for all commands, perfect for multi-agent orchestration within Openclaw Skills.
- Automated credential refresh logic that prevents workflow interruptions during long-running tasks.
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