Data Connector

Name: Data Connector
Availability: InStock
Author: Ticruz

Connect Google Sheets, Airtable, and CSV sources with local SQLite caching.

Updated Feb 10, 2026

Search Tags:#data #cache #sync #csv #sheets #airtable

Ready to run

npx skills add https://github.com/ticruz38/skills --skill data-connector

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Data Connector
Source: https://github.com/ticruz38/skills/tree/main/skills/data-connector
Command: npx skills add https://github.com/ticruz38/skills --skill data-connector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Connects Google Sheets, Airtable, and CSV sources to unify data management and simplify cross-source workflows.

Core Features & Use Cases

Read, write, and sync data across Google Sheets, Airtable, and CSV files.
Cache data locally for offline access and faster analytics.
Use case: Consolidate sales leads from Sheets and Airtable and export results to CSV for reporting.

Quick Start

Install dependencies and begin by creating a connection with data-connector add for your data source.

Frequently Asked Questions about Data Connector

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

FAQPage Schema

How do I sync data between Google Sheets and Airtable?▼

To sync data between Google Sheets and Airtable, establish connections for both sources to perform read and write operations. This unifies data management and simplifies cross-source workflows across your platforms.

Can I cache Google Sheets and Airtable data locally for offline access?▼

Yes, you can cache Google Sheets and Airtable data locally for offline access. The system uses a SQLite-backed local storage to cache your data, enabling faster analytics without an active internet connection.

What is the best way to consolidate leads from Airtable and export them to CSV?▼

The best way to consolidate leads from Airtable and export them to CSV is by reading data from your sources and writing the unified results to a CSV file. This simplifies cross-source reporting and data management.

How do I connect a CSV file to my Airtable workflow?▼

You connect a CSV file to your Airtable workflow by adding a new data source connection. This enables cross-source read, write, and sync operations, allowing you to manage records within a unified environment.

Does this data connection method require external dependencies to sync CSV files?▼

No external dependencies are required to sync CSV files and other data sources. The system implements local SQLite-backed storage for connections and cached data, validating frontmatter metadata internally.