Datagma is a comprehensive B2B data enrichment skill that empowers AI agents to identify, qualify, and track leads with high-precision company and person intelligence.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install datagma
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 datagma using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Datagma is a leading B2B data enrichment platform designed to help sales and marketing teams identify and qualify prospects with ease. By integrating this tool via Openclaw Skills, developers can grant their AI agents the ability to pull detailed company profiles, funding information, and verified contact data directly into their workflows. This skill eliminates the manual effort of searching for prospect details, allowing for more intelligent and personalized outreach.
Built on the Membrane framework, this integration ensures that complex authentication and credential management are handled securely in the cloud. Using Datagma through Openclaw Skills means your agent can focus on high-level logic—such as determining if a lead fits an Ideal Customer Profile (ICP)—while the underlying infrastructure manages the secure data retrieval and API interactions seamlessly.
To get started with Datagma in your environment, install the Membrane CLI:
npm install -g @membranehq/cli@latest
Authenticate your agent by logging in (replace <agentType> with your specific harness, like openclaw):
membrane login --tenant --clientName=<agentType>
Create a connection to Datagma to handle the OAuth/API key lifecycle:
membrane connection ensure "https://datagma.com/" --json
If the connection state is BUILDING, wait for it to reach READY before running actions.
The Datagma skill organizes information into several key entities to provide a holistic view of the B2B landscape:
| Entity | Data Points Included |
|---|---|
| Company | Funding rounds, technology stack, team members, and news articles |
| Person | Professional experiences, educational background, and social profiles |
| Job | Specific job role details and historical position data |
| Technology | Detailed insights into specific tools used by an organization |
| Contact | Verified work emails and mobile phone numbers |
membrane request command while maintaining automatic auth.membrane action list --intent command to find the right tool for a specific task without browsing documentation.Loading
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