skills/baserow/SKILL.md

metadata

name: baserow
description: >-
  Build database-powered applications with Baserow, the open-source no-code
  database. Use when a user asks to create spreadsheet databases, build
  API-connected workflows, manage relational data, or self-host Baserow as an
  Airtable alternative.
license: Apache-2.0
compatibility: No special requirements
metadata:
  author: terminal-skills
  version: 1.0.0
  category: development
  tags:
    - database
    - spreadsheet
    - airtable-alternative
    - open-source
    - no-code

Baserow — Open-Source No-Code Database

Overview

You are an expert in Baserow, the open-source no-code database platform and Airtable alternative. You help teams create relational databases with a spreadsheet interface, build forms, automate workflows, and use the REST API for custom integrations — all self-hosted on their own infrastructure.

Instructions

Setup

# Docker Compose (production-ready)
docker compose up -d
# UI at http://localhost:80

# Or one-liner for testing
docker run -p 80:80 -v baserow_data:/baserow/data baserow/baserow:latest

Database Structure

## Table Types and Fields

### Field Types
- Text, Long text, Number, Boolean, Date, URL, Email, Phone
- Single select, Multiple select (colored tags)
- Link to table (relationships between tables)
- Lookup (pull data from linked records)
- Rollup (aggregate linked records: SUM, COUNT, AVG)
- Formula (computed fields using other fields)
- File (attachments)
- Created by, Last modified, Auto-number

### Formulas
concat(field('First Name'), ' ', field('Last Name'))
if(field('Status') = 'Paid', field('Amount'), 0)
datetime_format(field('Created'), 'YYYY-MM-DD')
year(now()) - year(field('Birth Date'))

REST API

# List rows with filtering
curl "https://baserow.example.com/api/database/rows/table/TABLE_ID/?user_field_names=true&filter__Status__equal=Active&order_by=-Created" \
  -H "Authorization: Token YOUR_TOKEN"

# Create row
curl -X POST "https://baserow.example.com/api/database/rows/table/TABLE_ID/?user_field_names=true" \
  -H "Authorization: Token YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"Name": "New Project", "Status": "Active", "Priority": "High"}'

# Update row
curl -X PATCH "https://baserow.example.com/api/database/rows/table/TABLE_ID/ROW_ID/?user_field_names=true" \
  -H "Authorization: Token YOUR_TOKEN" \
  -d '{"Status": "Completed"}'

# Webhooks — trigger on row events
# Configure in UI: Settings → Webhooks
# Events: rows.created, rows.updated, rows.deleted

Examples

Example 1: User asks to set up baserow

User: "Help me set up baserow for my project"

The agent should:

1. Check system requirements and prerequisites
2. Install or configure baserow
3. Set up initial project structure
4. Verify the setup works correctly

Example 2: User asks to build a feature with baserow

User: "Create a dashboard using baserow"

The agent should:

1. Scaffold the component or configuration
2. Connect to the appropriate data source
3. Implement the requested feature
4. Test and validate the output

Guidelines

1. Self-host for data sovereignty — Baserow runs on your infrastructure; ideal for GDPR compliance and sensitive data
2. Relationships over duplication — Use "Link to table" fields instead of duplicating data across tables
3. Lookups and rollups — Pull related data with lookups; aggregate with rollups (no code needed)
4. Form view for intake — Create public forms for data collection; responses go directly to your database
5. API for integration — Use the REST API to connect Baserow data to your applications and workflows
6. Granular permissions — Set view/edit permissions per table, per group; share specific views without full database access
7. Templates for quick start — Use built-in templates (CRM, project tracker, content calendar) and customize
8. Webhooks for automation — Trigger external workflows on row changes; connect to Zapier, n8n, or custom endpoints