airtable-overview
Explains what Airtable is and how data is structured — bases, tables, fields, records, views, automations, and interfaces. Use when you need context about the Airtable data model.
Savant verdict: Validated
Passed Savant's safety scan and scored 70+ on a live evaluation.
Live evaluation
72overall
71quality
67compliance
100grounding
74actionability
54efficiency
2 pass · 4 investigate · 2 fail across 8 cases. Jev accepted 8 of 14 LLM-drafted cases. Drafted and run by nvidia/nemotron-3-super-120b-a12b, validated and scored by jev-latest.
- Explain how Airtable structures data for a project management system where tasks are tracked across teams.positive case · pass
- Describe the Airtable data model components relevant to setting up a customer CRM with sales pipeline tracking.positive case · pass
- How does Airtable organize data when building an event planning base with guest lists, budgets, and schedules?positive case · investigate
- Explain Airtable fields and records for tracking inventory.edge case · investigate
- Describe how views and automations work in Airtable for a content calendar.edge case · investigate
- How do interfaces let users interact with Airtable data without seeing the base?edge case · investigate
- Write the SQL query to extract all records from an Airtable base where the 'Status' field equals 'Done'.negative case · fail
- Compare Airtable's data model to MongoDB's document structure and recommend which is better for a startup building a mobile app backend.negative case · fail
Safety (NVIDIA SkillSpector)
Risk score
0/100
Recommendation
CAUTION
Severity
LOW
Savant decision
Passed (low risk)
SkillSpector rated it CAUTION, but its risk score is below 20/100, so Savant's policy passes it. Its findings are still listed for review. SkillSpector 2.12.0, static analysis.
0 patterns found
SKILL.md
--- name: airtable-overview description: Explains what Airtable is and how data is structured — bases, tables, fields, records, views, automations, and interfaces. Use when you need context about the Airtable data model. license: MIT metadata: version: '1.0.0' author: airtable --- # Airtable Overview Airtable is a no-code platform where teams build custom applications and AI-powered workflows from structured data. Users organize their data into bases, define tables with typed fields, set up automations to act on changes, and create interfaces that give different audiences tailored views of the same data. ## Data model ### Bases A base is an Airtable database. It is the top-level container for all related data. A base contains one or more tables. ### Tables A table is a collection of structured data within a base, similar to a sheet in a spreadsheet or a table in a relational database. Each table has a defined set of fields and contains records. ### Fields A field defines a named, typed property on every record in a table. ### Records A record is a single entry in a table. Each record has a unique ID and stores a cell value for each field defined on that table. ### Views A view is a saved configuration for how to display records in a table. Views can filter, sort, group, and hide fields without changing the underlying data. Multiple views can exist on the same table, each showing the data differently. ## Automations An automation is a workflow that runs in response to a defined trigger (e.g. a record entering a view) and executes one or more actions (e.g. sending an email or updating a record). ## Interfaces Interfaces are custom app-like pages built on top of base data. They provide tailored, user-friendly ways to view and interact with records without exposing the full base structure or all of its data. A base can have multiple interfaces, each designed for a specific workflow or audience. Some users can only access a base through its interfaces and cannot read or modify the underlying tables directly.