A powerful integration for SevDesk that enables AI agents to automate cloud-based accounting, invoicing, and financial management.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sevdesk
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 sevdesk using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
SevDesk is a premier cloud-based accounting solution tailored for small businesses and freelancers, particularly within the German market. This skill connects your AI agent to the SevDesk ecosystem, allowing it to manage complex financial tasks such as invoice generation, expense tracking, and bookkeeping effortlessly. By leveraging Openclaw Skills, developers can bypass the complexities of manual API integrations.
The integration is powered by Membrane, which provides a secure layer for authentication and data handling. This ensures that your AI coding agent can interact with SevDesk data safely, focusing on the integration logic while Membrane handles the underlying authentication plumbing and credential refreshes automatically.
First, install the Membrane CLI to enable Openclaw Skills execution:
npm install -g @membranehq/cli@latest
Authenticate your agent environment:
membrane login --tenant --clientName=openclaw
Create a secure connection to the SevDesk API:
membrane connection ensure "https://sevdesk.com/" --json
The skill organizes SevDesk entities into structured objects. Below are the primary data models available:
| Entity | Description |
|---|---|
| Contact | Customer and supplier master data |
| Invoice | Financial billing documents and position items |
| Accounting Voucher | Recorded expenses and financial receipts |
| Transaction | Bank and check account movements |
| Task / Time Tracking | Operational data for service-based billing |
All data is exchanged via JSON, following the standardized inputSchema and outputSchema defined by the individual actions.
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