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windsor-ai-business-data

Query unified business data from 325+ marketing, sales, CRM, ecommerce, and finance platforms.

19|3|Updated May 17, 2026
Search Tags:#dashboard#data query#crm#marketing analytics#ecommerce#business data#windsor ai
One-click install
npx skills add https://github.com/cline/skills --skill windsor-ai-business-data
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: windsor-ai-business-data
Source: https://github.com/cline/skills/tree/main/skills/windsor-ai-business-data
Command: npx skills add https://github.com/cline/skills --skill windsor-ai-business-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the need to build and maintain custom integrations for hundreds of disparate business data platforms, giving you instant access to unified marketing, sales, CRM, ecommerce, and finance data for your projects.

Core Features & Use Cases

  • Multi-Platform Data Access: Query data from 325+ Windsor.ai supported connectors including Google Ads, Shopify, HubSpot, and Stripe.
  • Schema & Field Exploration: Discover available fields, data types, and filter options for any connector before running queries.
  • Use Case: Pull ad spend and ROAS metrics from multiple ad platforms to build a cross-channel marketing performance dashboard in minutes.

Quick Start

Use the windsor-ai-business-data skill to pull the last 30 days of Google Ads campaign spend, clicks, and conversions data for my Q4 marketing report.

Frequently Asked Questions about windsor-ai-business-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query business data from multiple marketing platforms without building custom integrations?▼

You can query business data from 325+ marketing, sales, CRM, and ecommerce platforms without custom integrations using Windsor.ai's unified data access tools. Apply date filters, select specific fields, and merge cross-platform data directly for analytics workflows.

What's the best way to explore available fields and data types before running a cross-platform data query?▼

The best way to explore available fields and data types is by using schema exploration features to discover filter options for any connector. This allows you to verify data structures and connector-specific fields before executing your actual business data queries.

Can I pull ad spend and ROAS metrics from Google Ads and Shopify to build a cross-channel performance dashboard?▼

Yes, you can pull ad spend, ROAS, clicks, and conversions data from Google Ads, Shopify, and other connectors to build cross-channel marketing performance dashboards. It supports querying unified metrics with date filters and conditional parameters.

Does this data query approach work for generating performance reports and seeding test data for CRM analytics?▼

Yes, this data query approach works for generating performance reports, seeding test data, and building dashboards for CRM analytics. It provides unified access to marketing, sales, ecommerce, and finance platforms for comprehensive reporting tasks.

Do I need to maintain custom API connections to access ecommerce and finance data for dashboard building?▼

No, you do not need to maintain custom API connections to access ecommerce and finance data. The skill eliminates custom integration work by providing instant access to 325+ supported business data connectors for dashboard building and analytics.

Are there limitations when applying conditional filters to cross-platform data merging for analytics workflows?▼

Cross-platform data merging supports conditional filters, date filters, and field selection via Windsor.ai's MCP tools. Limitations depend on the specific fields and filter options available within each individual connector's schema exploration parameters.

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