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Description

1. Data is tracked in [Collections](https://apps.apple.com/us/app/collections-database/id1568395334), a macOS/iOS database app with Shortcuts support.[^airtable] 2. A shortcut exports the data to CSV, converts column names from `Title Case` to `snake_case`, and saves the files to S3 via [S3 Files](h

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

The combined [dbt](https://www.getdbt.com/)/[Evidence](https://evidence.dev/) project for Sean's coffee ratings log.

The Full Stack

  1. Data is tracked in Collections, a macOS/iOS database app with Shortcuts support.[^airtable]
  2. A shortcut exports the data to CSV, converts column names from Title Case to snake_case, and saves the files to S3 via S3 Files. This shortcut is run on a schedule with automations.
  3. This dbt project transforms the data in MotherDuck.
  4. The Evidence site is deployed on Vercel.

[^airtable]: Until recently, this was done in [Airtable](https://airtable.com/) and synced via [Fivetran](https://www.fivetran.com/).