Empower your AI agents with the ability to analyze 325+ marketing and business data sources via Openclaw Skills and Windsor.ai.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install windsor-ai
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 windsor-ai 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 Windsor.ai Analytics Connector?
The Windsor.ai skill for Openclaw Skills enables developers and marketers to bridge the gap between complex analytical platforms and AI-driven insights. By integrating this skill, users can interact with data from over 325 platforms like HubSpot, Salesforce, and TikTok Ads directly through a conversational interface, eliminating the need for manual CSV exports or complex SQL queries.
This integration leverages the Model Context Protocol (MCP) to provide real-time access to business metrics, attribution data, and e-commerce performance. Whether you are building an automated reporting bot or a personal marketing assistant, this entry in the Openclaw Skills ecosystem provides the necessary infrastructure to turn raw data into actionable intelligence without leaving your coding environment.
Windsor.ai Analytics Connector Use Cases
- Tracking campaign performance metrics like ROAS, CPC, and CTR across multiple ad platforms.
- Analyzing e-commerce revenue and customer acquisition costs from Shopify or Google Analytics 4.
- Generating cross-channel attribution reports to compare performance between Facebook and Google Ads.
- Performing trend analysis and anomaly detection for proactive budget management.
- Creating automated, client-ready performance summaries using Openclaw Skills capabilities.
How Windsor.ai Analytics Connector Works
- The user provides a natural language query about their marketing or business data to an agent utilizing Openclaw Skills.
- The skill translates the English request into a structured API query for the Windsor.ai engine.
- Windsor.ai aggregates data from the connected 325+ platforms including social ads, CRMs, and web analytics.
- The processed data is returned to the AI agent via the secure MCP interface.
- The AI synthesizes the raw data into a structured report, table, or insight for the end user.
Windsor.ai Analytics Connector Setup
Step 1: Obtain API Key
Get your Windsor.ai API key from your account dashboard at https://windsor.ai.
Step 2: Environment Configuration
Store and export your API key so the Openclaw Skills environment can access it:
echo 'WINDSOR_API_KEY=your_api_key_here' >> ~/.clawdbot/.env
export WINDSOR_API_KEY=your_api_key_here
Step 3: Configure MCP
Add the Windsor.ai server to your config/mcporter.json file:
{
"mcpServers": {
"windsor-ai": {
"description": "Windsor.ai MCP access",
"baseUrl": "https://mcp.windsor.ai/sse",
"headers": {
"Authorization": "Bearer ${WINDSOR_API_KEY}"
}
}
}
}
Step 4: Verify
Run npx mcporter list to ensure the skill is active.
Windsor.ai Analytics Connector Data Schema & Taxonomy
The skill organizes data retrieved through Openclaw Skills into the following taxonomy:
| Category | Description |
|---|---|
| Data Sources | 325+ connectors including Facebook Ads, GA4, HubSpot, and Shopify |
| Metrics | Numerical data such as Spend, ROAS, Revenue, Clicks, and Conversions |
| Dimensions | Attributes for segmentation like Campaign Name, Date, Channel, and Country |
| Metadata | Information regarding account IDs, sync timestamps, and field availability |
Windsor.ai Analytics Connector Advanced Features
- Automated Report Templates: Generate weekly or monthly performance summaries with a single prompt.
- Anomaly Detection: Identify campaigns with unusual performance spikes or drops automatically.
- Cross-Channel Attribution: Compare attributed revenue across different platforms and models.
- Budget Pacing: Forecast monthly ad spend based on trailing trends and current performance.
- CRM Integration: Connect top-of-funnel ad data with bottom-of-funnel leads from Salesforce or HubSpot via Openclaw Skills.
SKILL.md
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