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Airtable Automation

CommunityPopular
davepoon
airtable-automation

Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.

Overview

Publisherdavepoon
Repositorybuildwithclaude
Skill nameairtable-automation
Stars
3.5K
Forks
509
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by davepoon on GitHub. Read the source before you install it.

Installation

Install the Airtable Automation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/all-skills/skills/airtable-automation .claude/skills/airtable-automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Airtable Automation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Airtable Automation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Airtable Automation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Airtable Automation via Rube MCP

Automate Airtable operations through Composio's Airtable toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/airtable

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Airtable connection via RUBE_MANAGE_CONNECTIONS with toolkit airtable
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit airtable
  3. If connection is not ACTIVE, follow the returned auth link to complete Airtable auth
  4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Create and Manage Records

When to use: User wants to create, read, update, or delete records

Tool sequence:

  1. AIRTABLE_LIST_BASES - Discover available bases [Prerequisite]
  2. AIRTABLE_GET_BASE_SCHEMA - Inspect table structure [Prerequisite]
  3. AIRTABLE_LIST_RECORDS - List/filter records [Optional]
  4. AIRTABLE_CREATE_RECORD / AIRTABLE_CREATE_RECORDS - Create records [Optional]
  5. AIRTABLE_UPDATE_RECORD / AIRTABLE_UPDATE_MULTIPLE_RECORDS - Update records [Optional]
  6. AIRTABLE_DELETE_RECORD / AIRTABLE_DELETE_MULTIPLE_RECORDS - Delete records [Optional]

Key parameters:

  • baseId: Base ID (starts with 'app', e.g., 'appXXXXXXXXXXXXXX')
  • tableIdOrName: Table ID (starts with 'tbl') or table name
  • fields: Object mapping field names to values
  • recordId: Record ID (starts with 'rec') for updates/deletes
  • filterByFormula: Airtable formula for filtering
  • typecast: Set true for automatic type conversion

Pitfalls:

  • pageSize capped at 100; uses offset pagination; changing filters between pages can skip/duplicate rows
  • CREATE_RECORDS hard limit of 10 records per request; chunk larger imports
  • Field names are CASE-SENSITIVE and must match schema exactly
  • 422 UNKNOWN_FIELD_NAME when field names are wrong; 403 for permission issues
  • INVALID_MULTIPLE_CHOICE_OPTIONS may require typecast=true

2. Search and Filter Records

When to use: User wants to find specific records using formulas

Tool sequence:

  1. AIRTABLE_GET_BASE_SCHEMA - Verify field names and types [Prerequisite]
  2. AIRTABLE_LIST_RECORDS - Query with filterByFormula [Required]
  3. AIRTABLE_GET_RECORD - Get full record details [Optional]

Key parameters:

  • filterByFormula: Airtable formula (e.g., {Status}='Done')
  • sort: Array of sort objects
  • fields: Array of field names to return
  • maxRecords: Max total records across all pages
  • offset: Pagination cursor from previous response

Pitfalls:

  • Field names in formulas must be wrapped in {} and match schema exactly
  • String values must be quoted: {Status}='Active' not {Status}=Active
  • 422 INVALID_FILTER_BY_FORMULA for bad syntax or non-existent fields
  • Airtable rate limit: ~5 requests/second per base; handle 429 with Retry-After

3. Manage Fields and Schema

When to use: User wants to create or modify table fields

Tool sequence:

  1. AIRTABLE_GET_BASE_SCHEMA - Inspect current schema [Prerequisite]
  2. AIRTABLE_CREATE_FIELD - Create a new field [Optional]
  3. AIRTABLE_UPDATE_FIELD - Rename/describe a field [Optional]
  4. AIRTABLE_UPDATE_TABLE - Update table metadata [Optional]

Key parameters:

  • name: Field name
  • type: Field type (singleLineText, number, singleSelect, etc.)
  • options: Type-specific options (choices for select, precision for number)
  • description: Field description

Pitfalls:

  • UPDATE_FIELD only changes name/description, NOT type/options; create a replacement field and migrate
  • Computed fields (formula, rollup, lookup) cannot be created via API
  • 422 when type options are missing or malformed

4. Manage Comments

When to use: User wants to view or add comments on records

Tool sequence:

  1. AIRTABLE_LIST_COMMENTS - List comments on a record [Required]

Key parameters:

  • baseId: Base ID
  • tableIdOrName: Table identifier
  • recordId: Record ID (17 chars, starts with 'rec')
  • pageSize: Comments per page (max 100)

Pitfalls:

  • Record IDs must be exactly 17 characters starting with 'rec'

Common Patterns

Airtable Formula Syntax

Comparison:

  • {Status}='Done' - Equals
  • {Priority}>1 - Greater than
  • {Name}!='' - Not empty

Functions:

  • AND({A}='x', {B}='y') - Both conditions
  • OR({A}='x', {A}='y') - Either condition
  • FIND('test', {Name})>0 - Contains text
  • IS_BEFORE({Due Date}, TODAY()) - Date comparison

Escape rules:

  • Single quotes in values: double them ({Name}='John''s Company')

Pagination

  • Set pageSize (max 100)
  • Check response for offset string
  • Pass offset to next request unchanged
  • Keep filters/sorts/view stable between pages

Known Pitfalls

ID Formats:

  • Base IDs: appXXXXXXXXXXXXXX (17 chars)
  • Table IDs: tblXXXXXXXXXXXXXX (17 chars)
  • Record IDs: recXXXXXXXXXXXXXX (17 chars)
  • Field IDs: fldXXXXXXXXXXXXXX (17 chars)

Batch Limits:

  • CREATE_RECORDS: max 10 per request
  • UPDATE_MULTIPLE_RECORDS: max 10 per request
  • DELETE_MULTIPLE_RECORDS: max 10 per request

Quick Reference

TaskTool SlugKey Params
List basesAIRTABLE_LIST_BASES(none)
Get schemaAIRTABLE_GET_BASE_SCHEMAbaseId
List recordsAIRTABLE_LIST_RECORDSbaseId, tableIdOrName
Get recordAIRTABLE_GET_RECORDbaseId, tableIdOrName, recordId
Create recordAIRTABLE_CREATE_RECORDbaseId, tableIdOrName, fields
Create recordsAIRTABLE_CREATE_RECORDSbaseId, tableIdOrName, records
Update recordAIRTABLE_UPDATE_RECORDbaseId, tableIdOrName, recordId, fields
Update recordsAIRTABLE_UPDATE_MULTIPLE_RECORDSbaseId, tableIdOrName, records
Delete recordAIRTABLE_DELETE_RECORDbaseId, tableIdOrName, recordId
Create fieldAIRTABLE_CREATE_FIELDbaseId, tableIdOrName, name, type
Update fieldAIRTABLE_UPDATE_FIELDbaseId, tableIdOrName, fieldId
Update tableAIRTABLE_UPDATE_TABLEbaseId, tableIdOrName, name
List commentsAIRTABLE_LIST_COMMENTSbaseId, tableIdOrName, recordId

Powered by Composio

Frequently asked questions

What does the Airtable Automation AI skill do?

Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.

Why use Airtable Automation on TypingMind?

Because you install it once and use it with any model. Airtable Automation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Airtable Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/airtable-automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Airtable Automation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Airtable Automation?

As many as you like. As long as a model supports skills, you can use Airtable Automation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Airtable Automation AI skill free?

Yes. It is published on GitHub by davepoon under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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