airtable-automation
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill airtable-automation72
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 96%
↑ 1.54xAgent success when using this skill
Validation for skill structure
Evaluation results
100%
44%Product Catalog Migration to Airtable
Bulk record import batching and connection setup
RUBE_SEARCH_TOOLS first
0%
100%
RUBE_MANAGE_CONNECTIONS call
0%
100%
Connection ACTIVE check
0%
100%
AIRTABLE_LIST_BASES step
37%
100%
AIRTABLE_GET_BASE_SCHEMA step
37%
100%
Batch size limit respected
100%
100%
No single bulk call
100%
100%
typecast parameter
0%
100%
Field name case sensitivity
100%
100%
Rate limit handling
100%
100%
baseId format awareness
100%
100%
Without context: $0.3154 · 3m 35s · 16 turns · 21 in / 6,499 out tokens
With context: $0.5259 · 4m 7s · 21 turns · 24 in / 8,345 out tokens
88%
20%Overdue Project Task Report Generator
Filter formula syntax and pagination
Field names in braces
100%
100%
String values quoted
75%
100%
Date comparison function
100%
100%
Combined AND formula
100%
100%
Schema check before query
0%
0%
Pagination with offset
70%
100%
Stable filters across pages
100%
100%
pageSize capped at 100
62%
100%
Rate limit handling
0%
75%
Single-quote escaping awareness
50%
100%
Without context: $0.2739 · 3m · 15 turns · 22 in / 4,535 out tokens
With context: $0.2979 · 2m 36s · 13 turns · 48 in / 5,284 out tokens
100%
38%Airtable Schema Upgrade for a Support Ticket Tracker
Field type migration and schema management limitations
UPDATE_FIELD type limitation
100%
100%
Create replacement field
100%
100%
Data migration step
100%
100%
Formula field API limitation
0%
100%
Manual UI fallback for formula
0%
100%
Schema inspection step
37%
100%
SELECT field options specified
100%
100%
typecast on data migration
0%
100%
Batch size respected
100%
100%
Without context: $0.2554 · 3m 2s · 10 turns · 15 in / 6,046 out tokens
With context: $0.4402 · 3m 13s · 17 turns · 20 in / 7,280 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Unknown
Table of Contents
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