malloy-model

Automate building Malloy semantic models with dimensions, measures, and sources.

95|24|Updated Sep 16, 2024
One-click install
npx skills add https://github.com/malloydata/publisher --skill malloy-model
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: malloy-model
Source: https://github.com/malloydata/publisher/tree/main/skills/malloy-model
Command: npx skills add https://github.com/malloydata/publisher --skill malloy-model

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires malloy, duckdb, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation and refinement of Malloy semantic models, enhancing your data modeling capabilities.

Core Features & Use Cases

  • Build and Extend Models: Automate the process of constructing and enhancing Malloy models.
  • Base and Computed Sources: Develop robust base sources and leverage computed sources for in-depth analysis.
  • Data Definition and Structure: Facilitate the definition of dimensions, measures, and relationships within your data.
  • Use Case: Imagine you are setting up a new data model for an e-commerce platform. This Skill enables you to quickly create base sources for product categories, customer segments, and transaction data.

Quick Start

Build your Malloy model with the malloy-model skill by defining your base and joined source files.

Frequently Asked Questions about malloy-model

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

FAQPage Schema
How do I build a Malloy semantic model for business intelligence?

Yes, you can define relationships between dimensions and measures by developing base sources and leveraging computed sources. This Skill facilitates the definition of these relationships, enabling in-depth analysis for structured data representation in e-commerce and enterprise environments.

How do I automate Malloy source construction for an e-commerce platform?

You can automate Malloy source construction by defining base and joined source files for your data. This Skill streamlines creating base sources for entities like product categories and transaction data, accelerating e-commerce model setup.

Does Malloy semantic modeling work with DuckDB?

Using Malloy for semantic modeling automates the construction of dimensions, measures, and sources, streamlining model refinement. This approach provides structured data representation optimized for business intelligence, differing from traditional manual modeling workflows.

What are the limitations when defining dimensions and measures in Malloy?

The primary limitation is the dependency on the Malloy and DuckDB environments. While the Skill facilitates defining dimensions and measures, users must structure their base and computed sources correctly within these frameworks to ensure accurate data modeling.