What problem does it solve? Airtable integrations often duplicate setup instructions, API documentation, and error handling across multiple skills, wasting context and creating maintenance drift. This shared resource library centralizes common Airtable references and scripts so connect, query, and sync operations stay consistent. ## Core Features & Use Cases - Configuration Validation: Run pre-flight checks that verify the Personal Access Token, test API connectivity, and return structured JSON with an ai_action field telling the AI exactly how to fix issues. - Record Operations: Query records with Airtable formula filters, sorting, and pagination, plus create, update, and delete records with automatic batching of up to 10 records per API call. - Shared References: Access consolidated API documentation, error handling guides for HTTP codes 401 through 429, and a complete field type reference covering all 20+ Airtable field types. - Use Case: When a user asks to query their Projects base, the AI runs check_airtable_config.py first, prompts for a PAT if missing, then executes query_records.py with the appropriate filters. ## Quick Start Ask the AI to query records from one of your Airtable bases, and it will validate your configuration and run the appropriate script automatically.
