airtable-automation▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Automate Airtable operations through Composio's Airtable toolkit via Rube MCP.
Airtable Automation via Rube MCP
Automate Airtable operations through Composio's Airtable toolkit via Rube MCP.
Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Airtable connection via
RUBE_MANAGE_CONNECTIONSwith toolkitairtable - Always call
RUBE_SEARCH_TOOLSfirst 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.
- Verify Rube MCP is available by confirming
RUBE_SEARCH_TOOLSresponds - Call
RUBE_MANAGE_CONNECTIONSwith toolkitairtable - If connection is not ACTIVE, follow the returned auth link to complete Airtable auth
- 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:
AIRTABLE_LIST_BASES- Discover available bases [Prerequisite]AIRTABLE_GET_BASE_SCHEMA- Inspect table structure [Prerequisite]AIRTABLE_LIST_RECORDS- List/filter records [Optional]AIRTABLE_CREATE_RECORD/AIRTABLE_CREATE_RECORDS- Create records [Optional]AIRTABLE_UPDATE_RECORD/AIRTABLE_UPDATE_MULTIPLE_RECORDS- Update records [Optional]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 namefields: Object mapping field names to valuesrecordId: Record ID (starts with 'rec') for updates/deletesfilterByFormula: Airtable formula for filteringtypecast: 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:
AIRTABLE_GET_BASE_SCHEMA- Verify field names and types [Prerequisite]AIRTABLE_LIST_RECORDS- Query with filterByFormula [Required]AIRTABLE_GET_RECORD- Get full record details [Optional]
Key parameters:
filterByFormula: Airtable formula (e.g.,{Status}='Done')sort: Array of sort objectsfields: Array of field names to returnmaxRecords: Max total records across all pagesoffset: 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:
AIRTABLE_GET_BASE_SCHEMA- Inspect current schema [Prerequisite]AIRTABLE_CREATE_FIELD- Create a new field [Optional]AIRTABLE_UPDATE_FIELD- Rename/describe a field [Optional]AIRTABLE_UPDATE_TABLE- Update table metadata [Optional]
Key parameters:
name: Field nametype: 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:
AIRTABLE_LIST_COMMENTS- List comments on a record [Required]
Key parameters:
baseId: Base IDtableIdOrName: Table identifierrecordId: 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 conditionsOR({A}='x', {A}='y')- Either conditionFIND('test', {Name})>0- Contains textIS_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
offsetstring - Pass
offsetto 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
| Task | Tool Slug | Key Params |
|---|---|---|
| List bases | AIRTABLE_LIST_BASES | (none) |
| Get schema | AIRTABLE_GET_BASE_SCHEMA | baseId |
| List records | AIRTABLE_LIST_RECORDS | baseId, tableIdOrName |
| Get record | AIRTABLE_GET_RECORD | baseId, tableIdOrName, recordId |
| Create record | AIRTABLE_CREATE_RECORD | baseId, tableIdOrName, fields |
| Create records | AIRTABLE_CREATE_RECORDS | baseId, tableIdOrName, records |
| Update record | AIRTABLE_UPDATE_RECORD | baseId, tableIdOrName, recordId, fields |
| Update records | AIRTABLE_UPDATE_MULTIPLE_RECORDS | baseId, tableIdOrName, records |
| Delete record | AIRTABLE_DELETE_RECORD | baseId, tableIdOrName, recordId |
| Create field | AIRTABLE_CREATE_FIELD | baseId, tableIdOrName, name, type |
| Update field | AIRTABLE_UPDATE_FIELD | baseId, tableIdOrName, fieldId |
| Update table | AIRTABLE_UPDATE_TABLE | baseId, tableIdOrName, name |
| List comments | AIRTABLE_LIST_COMMENTS | baseId, tableIdOrName, recordId |
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
How to use airtable-automation on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add airtable-automation
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches airtable-automation from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate airtable-automation. Access the skill through slash commands (e.g., /airtable-automation) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★42 reviews- ★★★★★Sophia Tandon· Dec 28, 2024
We added airtable-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yuki Rao· Dec 16, 2024
Keeps context tight: airtable-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Arya Zhang· Dec 12, 2024
Useful defaults in airtable-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chaitanya Patil· Dec 4, 2024
airtable-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Daniel Yang· Dec 4, 2024
airtable-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Piyush G· Nov 23, 2024
Useful defaults in airtable-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ren Iyer· Nov 23, 2024
Registry listing for airtable-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Omar Rao· Nov 3, 2024
airtable-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Maya Harris· Oct 22, 2024
airtable-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Oct 14, 2024
Registry listing for airtable-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
showing 1-10 of 42