Can I remove existing relations with this skill?

Yes, the skill manages the removal of relations by identifying which entity defines the relationship and updating its YAML to remove the specific block while preserving other settings.

How do I create a new relation between entities?

Relations are defined on the 'many' side of a relationship. The skill uses the update_object tool to add a relations block to the source entity's YAML configuration.

How are relationships validated?

After creation, the skill invokes a mandatory validation process to verify the relation exists and tests cross-entity queries to ensure no fan-out or performance issues.

Does this skill support complex join conditions?

Yes, it supports both field-based connections for simple foreign keys and expression-based connections for complex SQL joins like range filters or SCD Type 2 logic.

Honeydew Semantic Relation Modeling

Name: Honeydew Semantic Relation Modeling
Author: honeydew-ai

byhoneydew-ai

0•

Gestión de Bases de Datos

Defines and manages complex semantic relationships between Honeydew entities to enable multi-entity data modeling and cross-filtering.

This skill empowers Claude to architect semantic data models by defining relationships within Honeydew. It guides users through selecting join types, directions, and connection methods—whether using simple field-based joins or complex SQL expressions. By automating the YAML updates for entity relations and providing a structured decision flow for modeling trade-offs, it ensures that metrics and attributes propagate correctly across the data model while maintaining strict validation standards.

Características Principales

01Seamless management of cross-filtering and join propagation settings

02Integrated validation workflow to test cross-entity query performance

03Interactive modeling analysis to present trade-offs before implementation

04Automated YAML configuration for many-to-one entity relationships

05Support for field-based connections and custom SQL join expressions

060 GitHub stars

Casos de Uso

01Connecting transaction fact tables to dimension entities like customers or products

02Implementing complex relationship patterns such as SCD Type 2 or range-based joins

03Configuring BI-ready filter propagation between disparate data entities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add honeydew-ai/honeydew-ai-coding-agents-plugins relation-creation

For use in Claude.ai and ChatGPT

Características Principales

01Seamless management of cross-filtering and join propagation settings

02Integrated validation workflow to test cross-entity query performance

03Interactive modeling analysis to present trade-offs before implementation

04Automated YAML configuration for many-to-one entity relationships

05Support for field-based connections and custom SQL join expressions

060 GitHub stars

Casos de Uso

01Connecting transaction fact tables to dimension entities like customers or products

02Implementing complex relationship patterns such as SCD Type 2 or range-based joins

03Configuring BI-ready filter propagation between disparate data entities

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add honeydew-ai/honeydew-ai-coding-agents-plugins relation-creation

For use in Claude.ai and ChatGPT