A powerful no-code data integration skill for automating ETL pipelines and managing complex data workflows through a managed API interface.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dataddo
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 dataddo using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Dataddo is a comprehensive no-code data integration platform designed to simplify the extraction, transformation, and loading (ETL) of data from diverse sources into centralized destinations. This skill allows AI agents to interact directly with Dataddo resources, enabling automated data management for analysts and marketers. By leveraging Openclaw Skills, developers can integrate Dataddo functionality without worrying about the underlying authentication complexity.
The skill streamlines the process of connecting disparate data sources, ensuring that business intelligence professionals can gain insights faster. It provides a robust interface for managing flows, schedules, and integrations through a secure, managed environment that handles the heavy lifting of API communication and credential management.
First, install the Membrane CLI to manage your integration environment:
npm install -g @membranehq/cli
Log in to your tenant account:
membrane login --tenant
Search for the Dataddo connector and create a new connection:
# Find the connector ID
membrane search dataddo --elementType=connector --json
# Connect using the ID from the previous step
membrane connect --connectorId=CONNECTOR_ID --json
Once connected, you can verify your setup by listing active connections:
membrane connection list --json
The Dataddo skill organizes data around the platform's core architectural components. All interactions utilize JSON schemas for validated inputs and structured outputs.
| Entity | Description |
|---|---|
| Destinations | The target storage locations for processed data (e.g., BigQuery, Snowflake). |
| Sources | The origin points for data extraction (e.g., Google Ads, Salesforce). |
| Flows | The logical pipelines connecting sources to destinations with specific mapping. |
| Schedules | Configuration objects that define when and how often data syncs occur. |
| Integrations | Specific third-party service connections authorized within the Dataddo account. |
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