What is the difference between semantic filters and source filters?

Semantic filters are primarily for governance and apply to all queries in the domain. Source filters are applied early at the database level to optimize performance and partition pruning.

How can I verify a new domain is working correctly?

After creation, you must validate the domain by using the search_model tool to verify its existence and running a test query via get_data_from_fields with the domain parameter.

How do I update an existing domain using this skill?

Use the search_model tool to find the domain's object key, then call update_object with the full updated YAML while following the minimal diff rule to preserve formatting.

What is a Honeydew domain?

A Honeydew domain is a governance object that defines a scoped business context, controlling which entities and fields are visible and applying mandatory filters to every query.

Honeydew Domain Governance

Name: Honeydew Domain Governance
Author: honeydew-ai

byhoneydew-ai

0•

Database Management

Configures and manages Honeydew domains to govern data visibility, apply mandatory filters, and establish focused business contexts for deep analysis.

This skill empowers Claude to architect and maintain Honeydew domains, which act as lightweight governance layers over semantic models. By defining scoped entities, field-level access, and both semantic and source filters, users can ensure consistent data access and performance across different business units. It streamlines the creation of governed environments through YAML configurations, providing integrated tools for model discovery, object management, and immediate validation via test queries to ensure governance rules are correctly applied.

Key Features

01Granular field-level visibility control using field selectors and wildcards

020 GitHub stars

03Implementation of mandatory semantic filters for enterprise-wide governance

04Integrated discovery tools to list entities and search existing model objects

05Automated domain creation and lifecycle management via YAML configuration

06Performance optimization through source-level filtering and partition pruning

Use Cases

01Optimizing query performance for massive datasets by applying source-level constraints

02Implementing multi-tenant data isolation using global mandatory semantic filters

03Setting up team-specific data environments with restricted entity and field access

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Key Features

01Granular field-level visibility control using field selectors and wildcards

020 GitHub stars

03Implementation of mandatory semantic filters for enterprise-wide governance

04Integrated discovery tools to list entities and search existing model objects

05Automated domain creation and lifecycle management via YAML configuration

06Performance optimization through source-level filtering and partition pruning

Use Cases

01Optimizing query performance for massive datasets by applying source-level constraints

02Implementing multi-tenant data isolation using global mandatory semantic filters

03Setting up team-specific data environments with restricted entity and field access

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT