Active Trail for Openclaw

A powerful marketing automation integration that enables AI agents to manage email campaigns, contact lists, and CRM data via the Membrane framework.

membranedev
v1.0.4
Apr 30, 2026
0
421
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install active-trail

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install active-trail 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 Active Trail?

The Active Trail skill for Openclaw Skills provides a robust bridge between AI coding agents and the Active Trail email marketing platform. By leveraging the Membrane infrastructure, this skill allows developers to automate sophisticated marketing workflows, such as creating landing pages, managing SMS campaigns, and tracking real-time reports without manually handling complex authentication logic.

This integration is specifically designed for marketing teams and small business owners who need their AI agents to interact directly with CRM data and email templates. It simplifies the developer experience by providing high-level actions for contact management and campaign execution, all while maintaining secure, server-side credential management.

Active Trail Use Cases

  • Automating the creation and distribution of email marketing campaigns based on user triggers.
  • Programmatically managing contact lists and groups within the Active Trail CRM.
  • Retrieving and analyzing campaign reports to adjust marketing strategies via AI.
  • Syncing landing page data and automation workflows with external development environments.
  • Sending automated SMS notifications to specific contact segments.

How Active Trail Works

  1. The Membrane CLI is initialized and authenticated using a specific agent type (e.g., openclaw).
  2. A secure connection to the Active Trail domain is established, handling OAuth or API key exchanges server-side.
  3. The agent searches for specific capabilities using natural language intent via the action list command.
  4. Pre-built actions are executed to perform tasks like listing contacts or updating campaigns.
  5. For custom requirements, the agent uses the proxy request feature to communicate directly with the Active Trail API while Membrane manages headers and token refreshes.

Active Trail Setup

First, install the global CLI for Openclaw Skills and Membrane:

npm install -g @membranehq/cli@latest

Next, authenticate your agent:

membrane login --tenant --clientName=openclaw

Create a connection to your Active Trail account:

membrane connection ensure "https://activetrail.com/" --json

Active Trail Data Schema & Taxonomy

The Active Trail skill organizes data through several core entities accessible via the API. The following table highlights primary data objects:

Entity Description Key Metadata
Contacts Individual subscriber records email, id, status
Campaigns Email marketing initiatives campaign_id, subject, stats
Mailing Lists Organized groups of contacts list_id, name, count
Automations Automated marketing funnels flow_id, state, triggers
Templates Reusable email designs template_id, layout_type

Active Trail Advanced Features

  • Natural Language Intent Discovery: Search for capabilities using human-readable queries to find the most efficient pre-built action.
  • Transparent Proxy Layer: Send raw API requests to any Active Trail endpoint with automatic header injection and credential refresh.
  • Headless Authentication: Support for server-side and remote environments via auth code completion.
  • Real-time Polling: Long-polling support for connection states to ensure the environment is ready before executing marketing workflows.
  • Multi-Agent Optimization: Specialized tooling adjustments based on the agent type (claude, openclaw, windsurf, etc.).

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*