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ubiquitous-language

Extract a DDD glossary from conversations and write UBIQUITOUS_LANGUAGE.md.

12|Updated Dec 25, 2024
Search Tags:#requirements#ddd#glossary#ambiguity#domain model#terminology
One-click install
npx skills add https://github.com/whyte25/reusables --skill ubiquitous-language-whyte25
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ubiquitous-language
Source: https://github.com/whyte25/reusables/tree/main/.agents/skills/ubiquitous-language
Command: npx skills add https://github.com/whyte25/reusables --skill ubiquitous-language-whyte25

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of inconsistent or ambiguous domain terminology by extracting domain concepts from the conversation and consolidating them into a single, canonical glossary.

Core Features & Use Cases

  • Glossary extraction: Pulls domain-relevant nouns and concepts from the conversation and formalizes them as a usable glossary.
  • Ambiguity detection: Flags overloaded terms and recommends canonical choices while listing aliases to avoid.
  • DDD-aligned output: Produces definitions, grouped sections, clear relationships with cardinality, and a short dev ↔ domain expert dialogue example for context.

Quick Start

Ask it to define the team’s ubiquitous language for your domain by reviewing the current conversation and writing the results to UBIQUITOUS_LANGUAGE.md, including flagged ambiguities and an example dialogue.

Frequently Asked Questions about ubiquitous-language

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

FAQPage Schema
How do I create a DDD ubiquitous language glossary from a conversation?▼

A ubiquitous language glossary resolves inconsistent domain terminology by extracting domain concepts from your conversation and consolidating them into a single canonical reference with definitions, aliases to avoid, and flagged ambiguities.

What is the best way to resolve ambiguous domain terminology during domain modeling?▼

Resolving ambiguous domain terminology involves flagging overloaded terms, recommending canonical choices, and listing aliases to avoid. This hardens your domain model by ensuring developers and domain experts share a single, consistent vocabulary.

How does a ubiquitous language glossary handle overloaded terms and aliases?▼

A ubiquitous language glossary handles overloaded terms by explicitly flagging ambiguous usages, recommending a single canonical definition, and listing alternative terms as aliases to avoid, ensuring domain model consistency.

Do I need an existing domain model to extract a ubiquitous language glossary?▼

You do not need an existing domain model to extract a ubiquitous language glossary. The tool pulls domain-relevant nouns and concepts directly from your current conversation to formalize the terminology as a usable glossary.

What format does the ubiquitous language glossary output use for documenting domain relationships?▼

The ubiquitous language glossary outputs a UBIQUITOUS_LANGUAGE.md file containing canonical definitions, grouped sections, clear relationships with cardinality, and a short developer and domain expert dialogue example for context.

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