relationship-events

Model semantic relationships and business events with MD-DDL specifications.

1|Updated Feb 7, 2026

Search Tags:#data modeling #events #relationships #entity #semantics #granularity #cardinality

Ready to run

npx skills add https://github.com/Semprini/md-ddl --skill relationship-events

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: relationship-events
Source: https://github.com/Semprini/md-ddl/tree/main/agents/agent-ontology/skills/relationship-events
Command: npx skills add https://github.com/Semprini/md-ddl --skill relationship-events

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you precisely define how different data entities relate to each other and model the significant occurrences (events) that change business states, ensuring clarity and consistency in your data models.

Core Features & Use Cases

Relationship Definition: Clearly define types of relationships (owns, has, references, etc.), their cardinality, and granularity.
Event Modeling: Capture business events, their triggers, actors, and the impact of state changes.
Use Case: When modeling a customer and their orders, use this skill to define that a 'Customer' places an 'Order', specifying if this is a one-to-many relationship and if the order's existence is tied to the customer. Model a 'Customer Profile Updated' event, detailing who initiated the change and what downstream systems are affected.

Quick Start

Use the relationship-events skill to define a 'Customer owns Account' relationship with atomic granularity.

Frequently Asked Questions about relationship-events

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

FAQPage Schema

How do I model entity relationships and business events in a data model?▼

To model entity relationships and business events, you define semantic connections like 'owns' or 'references' with their cardinality, and capture business event triggers, actors, and state changes to ensure data modeling clarity.

What is the difference between business events and technical mechanics in data modeling?▼

Business events capture significant occurrences that change business states, whereas technical mechanics handle the underlying system processes. Distinguishing them ensures your data model accurately reflects real-world semantic impacts.

How do I define cardinality and granularity for entity relationships?▼

You define cardinality and granularity by specifying the relationship type, such as one-to-many, and setting atomic granularity levels. This precisely maps how different data entities relate to each other within the model.

Do I need MD-DDL specifications to define relationship types and event structures?▼

Yes, modeling semantic relationships and business events requires adherence to MD-DDL specifications for relationships and events. This ensures consistent structure for payloads, temporal sequencing, and state changes.

Can I capture temporal sequencing and event payloads for business state changes?▼

Yes, event modeling allows you to capture temporal sequencing and event payloads. You detail who initiated the change, the event structure, and the downstream systems affected by the business state change.