Freshmarketer for AI Agents for Openclaw

A powerful marketing automation skill that enables AI agents to manage leads, pipelines, and customer engagements directly within Freshmarketer.

gora050
v1.0.4
May 1, 2026
0
401
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install freshmarketer

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 freshmarketer 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 Freshmarketer for AI Agents?

Freshmarketer for Openclaw Skills is a robust integration designed to bridge the gap between AI coding agents and the Freshmarketer marketing automation platform. It allows agents to programmatically manage complex customer journeys, including email campaigns, lead segmentation, and organization-level data. By leveraging the Membrane framework, this skill removes the friction of manual API key management and OAuth flows.

This integration is essential for developers looking to build autonomous marketing agents or sales automation tools. It provides a structured way to interact with contacts, accounts, and deals while ensuring that communication remains secure and token-efficient through optimized pre-built actions.

Freshmarketer for AI Agents Use Cases

  • Automating lead generation and contact creation from external data sources.
  • Building autonomous sales assistants that update deal stages and pipelines.
  • Generating automated email reports and monitoring campaign performance.
  • Synchronizing CRM data between Freshmarketer and other frontend or backend systems.
  • Performing bulk updates on contact fields and segmentation lists via AI commands.

How Freshmarketer for AI Agents Works

  1. The AI agent initializes the environment using the Membrane CLI to handle secure session management.
  2. A connection is established to the Freshmarketer domain, triggering an automated authentication flow.
  3. The agent searches for specific capabilities using natural language intent to find the most efficient action (e.g., 'list contacts').
  4. Actions are executed through the Openclaw Skills interface, which passes parameters to the Freshmarketer API.
  5. For specialized requests not covered by standard actions, the agent uses a managed proxy to send direct authenticated requests.

Freshmarketer for AI Agents Setup

To get started with Freshmarketer for Openclaw Skills, install the Membrane CLI and authenticate your environment:

# Install the CLI globally
npm install -g @membranehq/cli@latest

# Login and specify your agent type (e.g., openclaw)
membrane login --tenant --clientName=openclaw

# Create a connection to Freshmarketer
membrane connection ensure "https://www.freshworks.com/crm/marketing/" --json

Freshmarketer for AI Agents Data Schema & Taxonomy

The skill interacts with several core entities in the Freshmarketer ecosystem. Data is exchanged primarily in JSON format with the following taxonomy:

Entity Data Included
Contacts Personal details, custom fields, and engagement history
Accounts Organization metadata, sales account links, and company hierarchies
Deals Opportunity value, pipeline stages, and expected close dates
Actions Metadata including inputSchema for parameters and outputSchema for results

Freshmarketer for AI Agents Advanced Features

  • Intent-Based Discovery: Find the right API interaction by describing what you want to achieve in plain English.
  • Transparent Proxy: Execute raw API calls to any Freshmarketer endpoint with automatic header injection and credential refreshing.
  • Multi-Agent Support: Compatible with various agent types including Openclaw, Claude, and Windsurf.
  • Headless Auth: Support for non-interactive environments through authorization code completion.
  • Automated Pagination: Pre-built actions handle large datasets without complex manual loop logic.

SKILL.md


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