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malloydata

Official

@malloydata

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38Public Repos
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27Published Skills

Malloy is an experimental language for describing data relationships and transformations.

Skills Distribution
DomainData Systems...Semantic Modeling (40%)Data Analysis (30%)Interactive Report.. (30%)

Agent Skills by malloydata

Showing 27 vetted skills indexed across 1 GitHub repositories.

malloydatamalloydata
95

gotchas-modeling

Guide Malloy modeling to avoid common mistakes in reserved words, NULL checks, and date functions.

Official
Intermediate
malloydatamalloydata
95

malloy-publish

Package and validate Malloy models with publisher.json for Malloy Publisher deployment.

Official
Intermediate
malloydatamalloydata
95

malloy-debug

Diagnose and resolve compile-time errors in Malloy source code.

Official
Intermediate
malloydatamalloydata
95

malloy-analyze

Analyze Publisher data with structured EDA steps and build dashboards.

Official
Advanced
malloydatamalloydata
95

malloy-notebooks

Generates interactive Malloy notebooks with dashboards and data stories.

Official
Intermediate
malloydatamalloydata
95

analysis-pitfalls

Detect common errors in data analysis queries and result interpretation.

Official
Intermediate
malloydatamalloydata
95

html-data-apps

Create and customize HTML data apps for Malloy Publisher packages.

Official
Intermediate
malloydatamalloydata
95

malloy-review

Automates code review and verification of Malloy semantic models.

Official
Advanced
malloydatamalloydata
95

html-data-app-embedding

Embed interactive data applications as auto-sizing iframes with authentication.

Official
Intermediate
malloydatamalloydata
95

lookml-review

Convert LookML models to Malloy semantic models by analyzing business logic and relationships.

Official
Advanced
malloydatamalloydata
95

malloy-model

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

Official
Intermediate
malloydatamalloydata
95

html-data-app-runtime

Execute Malloy queries from JavaScript to build interactive HTML data applications.

Official
Intermediate
malloydatamalloydata
95

phrase-detection

Construct and classify search targets for Malloy's malloy_getContext tool.

Official
Intermediate
malloydatamalloydata
95

gotchas-queries

Identify and mitigate frequent errors in Malloy queries and views.

Official
Basic
malloydatamalloydata
95

malloy-scope

Categorize Malloy tables and recommend analytical scopes from model inspection.

Official
Intermediate
malloydatamalloydata
95

malloy-charts

Guide chart type selection and rendering for Malloy views.

Official
Intermediate
malloydatamalloydata
95

malloy-patterns

Index Malloy documentation topics and patterns for language reference and rendering.

Official
Advanced
malloydatamalloydata
95

malloy-analysis

Analyze Malloy semantic models served by Publisher with structured workflows.

Official
Advanced
malloydatamalloydata
95

malloy-discover

Scan Malloy model tables, columns, distributions, and relationships for data discovery.

Official
Intermediate
malloydatamalloydata
95

gotchas-rendering

Guide Malloy users on renderer annotation syntax and scale rules.

Official
Intermediate
malloydatamalloydata
95

notebook-chat

Execute ad-hoc data queries on in-memory notebook contexts.

Official
Advanced
malloydatamalloydata
95

malloy

Models and analyzes data workflows in the LabPilot environment.

Official
Advanced
malloydatamalloydata
95

malloy-modeling

Create Malloy semantic models for the Malloy Publisher using an 8-step workflow.

Official
Advanced
malloydatamalloydata
95

malloy-queries

Provides guidance on writing Malloy queries for data analysis.

Official
Intermediate

Frequently Asked Questions About malloydata

FAQPage Schema
What specific tasks can I perform using Malloydata?

You can define complex data relationships, build semantic models with dimensions and measures, execute analytical queries, and generate interactive notebooks or HTML data applications. It enables structured data discovery and the conversion of legacy business logic into modern, maintainable semantic definitions.

Which personas benefit most from these capabilities?

Data engineers, business intelligence developers, and analysts benefit most. These professionals use the platform to standardize data definitions, perform rigorous model validation, and create self-service reporting interfaces for end-users without requiring extensive manual coding for every dashboard component.

What are the prerequisites for implementing Malloy models?

Implementation requires an existing data warehouse or database connection and familiarity with the Malloy language syntax. Users should be prepared to define source architectures, field mappings, and semantic relationships before deploying models to the Publisher environment for interactive analysis.