Airtable is powerful until someone non-technical needs an answer and gets lost in filters. This agent takes the question in plain words and runs the query for them.
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README.md
Why this subagent
Airtable is powerful until someone non-technical needs an answer and gets lost in filters. This agent takes the question in plain words and runs the query for them.
It reads your base schema, builds the right filter, and answers from live records, with a link back to the view. People get answers without learning Airtable's query syntax.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Translate a plain-language question into the right Airtable filter and sort.
pending
Run the query against the live base rather than a cached copy.
pending
Return the matching records in a readable summary with a link back to the view.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Convert the question into an Airtable query over the known schema and answer from the returned records only.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.