layers-domain

Map domain concepts, terminology conflicts, and bounded contexts.

1|Updated May 28, 2026
One-click install
npx skills add https://github.com/harshilLakhani22/monali-ai-property --skill layers-domain-harshillakhani22
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: layers-domain
Source: https://github.com/harshilLakhani22/monali-ai-property/tree/main/.agents/skills/layers-domain
Command: npx skills add https://github.com/harshilLakhani22/monali-ai-property --skill layers-domain-harshillakhani22

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you explore a real-world domain before designing the product model, so you can capture the concepts, terminology, processes, and conflicts that users actually use.

Core Features & Use Cases

  • Concept Mapping: Identify the main nouns, relationships, and processes in a domain without forcing premature structure.
  • Terminology Audit: Record synonyms, conflicting meanings, and context-specific language used by different groups.
  • Bounded Context Discovery: Spot where different communities share vocabulary internally but diverge across groups.
  • Domain Events: Surface important happenings over time when the domain is process-heavy.
  • Use Case: A team building a property or feasibility platform can use this Skill to map terms like site, plot, parcel, zoning, and brief before defining data models or workflows.

Quick Start

Use the layers-domain skill to map the property feasibility domain, list key concepts and terminology conflicts, and produce a raw noun harvest for the conceptual model.

Frequently Asked Questions about layers-domain

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

FAQPage Schema
What is domain mapping and when do I need to map bounded contexts?

Domain mapping captures the raw concepts, terminology conflicts, and processes of a real-world domain before product modeling. You need bounded context mapping when teams share vocabulary internally but diverge across different groups, requiring a conceptual inventory before defining data models.

How do I harvest nouns and domain events for a conceptual model?

To harvest nouns and domain events for a conceptual model, identify main objects and surface important happenings over time without forcing premature structure. This process captures concepts, synonyms, polysemy, and events to build a raw conceptual inventory for complex process analysis.

How do I resolve terminology conflicts and synonyms in product discovery?

To resolve terminology conflicts during product discovery, audit context-specific language by recording synonyms and conflicting meanings used by different groups. This captures terminology without prematurely resolving contradictions, ensuring the conceptual model reflects actual user language.

Can I use event storming to map a complex domain before data modeling?

Yes, you can apply event storming principles to map a complex domain by surfacing domain events and mapping concepts. This captures important happenings over time for process-heavy domains, providing a raw conceptual inventory required before defining data models or workflows.

Does domain mapping work for analyzing property feasibility and real estate domains?

Yes, domain mapping works for analyzing property feasibility domains to map terms like site, plot, parcel, zoning, and brief. It captures the specific terminology and conflicts used by different communities before defining data models or workflows for the platform.