Airtable Automation V3

Airtable Automation via Rube MCP

Overview

This public intake copy packages plugins/antigravity-bundle-automation-builder/skills/airtable-automation from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

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

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Prerequisites, Common Patterns, Known Pitfalls, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Verify Rube MCP is available by confirming RUBESEARCHTOOLS responds
2. Call RUBEMANAGECONNECTIONS 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
5. AIRTABLELISTBASES - Discover available bases [Prerequisite]
6. AIRTABLEGETBASE_SCHEMA - Inspect table structure [Prerequisite]
7. AIRTABLELISTRECORDS - List/filter records [Optional]

Imported Workflow Notes

Imported: 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

Imported: 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'

Imported: 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

Examples

Example 1: Ask for the upstream workflow directly

Use @airtable-automation-v3 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @airtable-automation-v3 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @airtable-automation-v3 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @airtable-automation-v3 using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-bundle-automation-builder/skills/airtable-automation, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @agent-evaluation-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @ai-agents-architect-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @architecture-decision-records-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @architecture-patterns-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: Quick Reference

Imported: 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

Imported: 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

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.