Connect Google Sheets, Airtable, and CSV sources with local SQLite caching.
npx skills add https://github.com/ticruz38/skills --skill data-connector
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
Connects Google Sheets, Airtable, and CSV sources to unify data management and simplify cross-source workflows.
Install dependencies and begin by creating a connection with data-connector add for your data source.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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