Can Claude create or delete records in my Airtable?

Yes, Claude can create and update records; however, the skill is programmed to require explicit user permission before performing any write operations to ensure data integrity.

Do I need an Airtable API key to use this skill?

Yes, you need a Personal Access Token (PAT) with appropriate scopes (data.records:read/write, schema.bases:read) configured as an environment variable named AIRTABLE_API_KEY.

Is my Airtable API token safe?

Yes, the skill follows strict privacy rules that prevent the API token from being echoed or displayed in the console, and it only fetches the data necessary to fulfill your request.

What software dependencies are required?

This skill requires Python 3 and the 'pyairtable' library. The skill includes a diagnostic step to help you install these if they are missing.

Airtable Connector

Name: Airtable Connector
Author: ASU-LE

byASU-LE

Database Management

Integrates Claude Code with Airtable to manage bases, tables, and records through a streamlined Python interface.

About

This skill empowers Claude to interact directly with your Airtable data using the pyairtable library. It provides a robust set of tools for listing bases, exploring table schemas, and performing complex record operations like filtering, searching, and batch updating. Designed with security and efficiency in mind, it includes built-in prerequisite checks and follows privacy-first rules to ensure data is handled safely while presenting results in clean, readable formats for the developer console.

Key Features

Automated environment setup and prerequisite verification
Secure write operations for creating and updating records
Advanced record filtering and searching using Airtable formulas
Clean tabular data visualization for CLI responses
0 GitHub stars
Seamless base and table schema exploration

Use Cases

Automating data entry or updates within an existing Airtable workflow
Synchronizing local development data with cloud-based Airtable bases
Querying project management data directly from the terminal during development

About

Key Features

Automated environment setup and prerequisite verification
Secure write operations for creating and updating records
Advanced record filtering and searching using Airtable formulas
Clean tabular data visualization for CLI responses
0 GitHub stars
Seamless base and table schema exploration

Use Cases

Automating data entry or updates within an existing Airtable workflow
Synchronizing local development data with cloud-based Airtable bases
Querying project management data directly from the terminal during development