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Understanding the Airtable data model v1.0.0

Use this resource to understand the Airtable data structure before reading or changing data

New

  • 325 downloads
  • 162 likes
  • 228 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install airtable-data-model-overview

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent explains the Airtable model (bases, tables, typed fields, records, views, automations and interfaces) to place your request before reading or changing data.

Mostly picked by

Updated November 2, 2026

Card for the “Understanding the Airtable data model” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: definitions and hierarchy of the data model
  • agents/openai.yaml: agent configuration

Good fit for

  • You are new to Airtable and need to understand bases and tables
  • You are preparing an integration that reads typed fields

Not for

    Tags

    • airtable
    • database
    • tables
    • fields
    • no-code

    About

    You say

    “Explain how to organize my clients and orders in Airtable.”

    Card for the “Understanding the Airtable data model” skill

    Skill published by openai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to understand the Airtable data structure before reading or changing data
    3. Review and adjust the result

    Content preview

    Files

    • agents/openai.yaml0.2 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.1 KB

    Origin and licence

    Listed unmodified

    Author
    openai
    Source
    github.com/openai/plugins/tree/0722921d5542fc593105c27bd52630babd8b8c2a/plugins/airtable/skills/airtable-overview
    Licence
    MIT

    Notice

    « airtable-overview » (openai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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