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Caspers

DevOps community

Description

A fully simulated business demo built on Databricks — streaming data, AI agents, and apps you can deploy, explore, and extend.

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

Casper's

Casper's Kitchens

A "demo" consumer brand built by the Developer Relations team to showcase the full Databricks platform. First imagined as a ghost kitchen and delivery service, the evolved concept can flex across multiple verticals. Casper's integrates every layer — Lakeflow, AI/BI, Genie, Agent Bricks, Apps, and Lakebase — into a unified live demo.

Build Your Own

Want a demo for a different business? The **Caspers skill** generates streaming data, GPS routing, and replay engines for any domain:

git clone -b skill https://github.com/databricks-solutions/caspers-kitchens.git caspers-skill

See the [`skill` branch](../../tree/skill) for details.

Prerequisites

  • Databricks CLI installed and authenticated (databricks auth login)
  • Workspace permissions to create catalogs

Deploy

databricks bundle deploy -t 
databricks bundle run caspers

Available targets:

Target What it deploys
default Data generation, Lakeflow pipeline, refund agent, Lakebase + app
support Data generation, Lakeflow pipeline, support triage agent, Lakebase + app
complaints Data generation, Lakeflow pipeline, complaint agent, Lakebase
free Data generation, Lakeflow pipeline (Free Edition compatible)
menus Document intelligence, DLT pipeline, Genie, Knowledge Assistants, Multi-Agent Supervisor

Optionally specify a catalog (default: `caspersdev`):

databricks bundle run caspers --params "CATALOG=mycatalog"

Clean Up

databricks bundle run cleanup
databricks bundle destroy

Blog

Check out the [Casper's Kitchens Blog](https://databricks-solutions.github.io/caspers-kitchens/).

License

© 2025 Databricks, Inc. All rights reserved. The source in this notebook is provided subject to the Databricks License [https://databricks.com/db-license-source]. All included or referenced third part