Moskit for Openclaw

Moskit is a session replay and product analytics integration that enables AI agents to monitor user behavior and manage CRM workflows.

membranedev
v1.0.2
Apr 30, 2026
0
354
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install moskit-integration

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 moskit-integration 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 Moskit?

Moskit is a powerful session replay and product analytics tool designed to help product teams and developers understand user behavior by recording user sessions and providing insights into product usage. By leveraging Openclaw Skills, developers can automate the management of Organizations, Activities, Notes, and Pipelines, bridging the gap between user behavior data and CRM management. This integration allows AI agents to identify pain points, optimize user experiences, and improve product adoption programmatically.

Moskit Use Cases

  • Automating the creation and management of CRM tasks and notes based on user session behavior.
  • Synchronizing communication logs across WhatsApp, Telegram, Signal, and Email directly through an AI agent.
  • Monitoring product adoption by analyzing user activity and pipeline progress using Openclaw Skills.
  • Streamlining sales workflows by programmatically updating organization data and activity logs.

How Moskit Works

  1. The skill utilizes the Membrane CLI to interface with Moskit, abstracting away complex authentication logic.
  2. Developers authenticate the agent environment to establish a secure tenant session.
  3. A connection is established to the Moskit domain, which Membrane monitors until the state reaches a ready status.
  4. AI agents perform intent-based searches to discover pre-built actions for managing entities like contacts or tasks.
  5. The agent executes these actions via the CLI, passing JSON parameters to perform CRUD operations on Moskit data.
  6. For custom needs, the agent can route direct proxy requests to the Moskit API through the Openclaw Skills framework.

Moskit Setup

First, install the Membrane CLI to facilitate the integration:

npm install -g @membranehq/cli@latest

Next, authenticate your agent session:

membrane login --tenant --clientName=openclaw

Finally, establish a connection to your Moskit account:

membrane connection ensure "https://www.moskitcrm.com/" --json

Moskit Data Schema & Taxonomy

The Moskit skill organizes data into several key entities to facilitate structured CRM and analytics management. Below is a breakdown of the primary data objects available through Openclaw Skills:

Entity Data Description
Contacts Individual user records including phone, email, and social handles
Activities Interaction logs including Calls, SMS, and Tasks
Pipelines Visual representation of sales or onboarding stages
Organizations High-level account data and metadata taxonomy
Conversations Integrated message history from WhatsApp, Telegram, and Signal

Moskit Advanced Features

  • Intent-Based Action Discovery: Use natural language to find relevant API actions without manual endpoint mapping.
  • API Proxying: Send raw requests directly to Moskit endpoints with automatic header and token management.
  • Headless Environment Support: Dedicated workflow for authenticating Openclaw Skills in server-side or remote environments.
  • Automated Credential Handling: Full lifecycle management of OAuth tokens, ensuring connections stay active without local secret storage.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*