new-mart-build

Automates mart creation from staging to BI exposure with dbt tasks and metrics integration.

1|1|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/nrakow/ae-skills-dev --skill new-mart-build
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: new-mart-build
Source: https://github.com/nrakow/ae-skills-dev/tree/main/skills/new-mart-build
Command: npx skills add https://github.com/nrakow/ae-skills-dev --skill new-mart-build

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Building new facts or dimensions from staging sources requires coordinating multiple steps and artifacts; without a repeatable workflow, it leads to delays and inconsistent results.

Core Features & Use Cases

  • Orchestrates a multi-phase workflow from modeling to dashboard exposure, ensuring proper sequencing and handoffs.
  • Validates with unit tests, data quality tests, metrics registration, and dashboard exposure to ensure production readiness.
  • Use Case: Add a new fact or dimension by following the six-phase plan and leveraging existing staging models and context.

Quick Start

Invoke the new-mart-build workflow after the data-stack-context and staging-layer are configured to design, build, test, and expose a new mart.

Frequently Asked Questions about new-mart-build

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate dbt mart creation from staging to dashboard exposure?

Automating dbt mart creation involves orchestrating a multi-phase workflow that designs fact and dimension tables, runs validation tests, registers metrics, and publishes dashboard exposures. This ensures proper sequencing and production readiness from staging to BI.

What do I need to build a new fact or dimension table from staging models?

To build a new fact or dimension table from staging models, you need the data-stack-context and staging-layer configured. You also need dbt tasks and metrics or dashboard artifacts to satisfy the compile, test, and publish steps.

How does the mart build workflow validate data quality and metrics?

The mart build workflow validates data quality and metrics by applying unit tests, data quality tests, and metrics registration before dashboard exposure. This coordination ensures the new fact or dimension table is production ready.

Can I use this mart build workflow without existing staging models?

No, this mart build workflow cannot be used without existing staging models. The process requires staging sources and integration with the staging-layer to design, build, test, and expose a new mart.

What is the best way to coordinate metrics integration and dashboard exposure in dbt?

The best way to coordinate metrics integration and dashboard exposure in dbt is using a repeatable workflow that orchestrates design, validation, and publishing. This prevents delays and inconsistent results when building new facts or dimensions.