A LeadConduit integration for AI agents that simplifies lead record management and data orchestration using Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install leadconduit
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 leadconduit 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 LeadConduit?
LeadConduit is a premier data management platform focused on lead generation and optimization. This skill allows AI agents to interact directly with LeadConduit Records, enabling seamless create, read, update, and delete (CRUD) operations. By leveraging the power of Openclaw Skills, developers can bypass the complexities of manual API authentication and focus on building intelligent lead-processing logic.
The skill provides a standardized way to interact with ActiveProspect's LeadConduit service, ensuring that lead data is handled securely and efficiently. Whether you are building a custom CRM bridge or an automated marketing funnel, this skill provides the necessary tools to perform high-level data operations without the overhead of manual plumbing.
LeadConduit Use Cases
- Automating lead ingestion from external sources into LeadConduit.
- Retrieving and updating lead statuses in real-time based on agent interactions.
- Searching for specific lead records to perform data verification or enrichment.
- Synchronizing LeadConduit data with other marketing tools using AI workflows.
- Rapidly prototyping lead-processing logic within an AI coding environment.
How LeadConduit Works
- The user installs the Membrane CLI to bridge the AI agent with LeadConduit services.
- Authentication is handled through a secure login flow, generating a unique connection ID for the account.
- The AI agent searches for specific actions (like 'create record') using natural language intent via Openclaw Skills.
- The agent executes the chosen action or sends proxy requests to specific API endpoints.
- Membrane handles credential refreshing and data normalization automatically in the background.
LeadConduit Setup
Install the Membrane CLI so you can run commands from your terminal:
npm install -g @membranehq/cli@latest
Authenticate your agent using the following command:
membrane login --tenant --clientName=openclaw
Ensure a connection is established to the LeadConduit domain:
membrane connection ensure "https://activeprospect.com/leadconduit/" --json
If the connection state is BUILDING, poll until it is READY:
npx @membranehq/cli connection get <id> --wait --json
LeadConduit Data Schema & Taxonomy
LeadConduit data is primarily organized around Records and Connections. Openclaw Skills provides a structured schema for these objects:
| Component | Type | Description |
|---|---|---|
| Record | Object | Core data entity containing lead details and custom fields. |
| Action | Logic | Defined operations (create, read, update, delete) with JSON input/output schemas. |
| Connection | Metadata | Stores authentication state, tenant info, and environment configuration. |
| Proxy | Request | Allows direct HTTP interaction with the LeadConduit API using stored credentials. |
LeadConduit Advanced Features
- Natural language action discovery to find the right tool for specific lead-processing intents.
- Transparent credential refresh management to ensure long-running automations never lose access.
- Direct API proxying with automatic header injection for advanced endpoint interactions.
- Machine-readable JSON output for all CLI commands, perfect for piping data into other Openclaw Skills.
- Support for both interactive and headless environments, enabling server-side agent deployments.
SKILL.md
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