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Ontological Mapping

Extract domain models, scan codebases, and generate correspondence and gap analysis reports.

Updated Mar 3, 2026
Search Tags:#code analysis#domain modeling#domain-driven design#gap analysis#architecture review#ontological mapping
One-click install
npx skills add https://github.com/StrategicMilk/Vetinari-Orchestrastor --skill ontological-mapping
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Ontological Mapping
Source: https://github.com/StrategicMilk/Vetinari-Orchestrastor/tree/main/vetinari/skills/catalog/worker/ontological-mapping
Command: npx skills add https://github.com/StrategicMilk/Vetinari-Orchestrastor --skill ontological-mapping

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Misalignment between business domain concepts and code structures leads to technical debt and reduced understandability. This skill ensures every domain entity is accurately reflected in the codebase, preserving relationships and terminology.

Core Features & Use Cases

  • Domain model extraction: Pulls concepts from documentation and stakeholder language.
  • Code model extraction: Scans source files for classes, enums, dataclasses, and TypedDicts.
  • Correspondence mapping: Generates direct, aliased, distributed, absent, and orphaned mappings.
  • Relationship validation: Checks inheritance, composition, and dependency mappings against domain rules.
  • Gap analysis & recommendations: Identifies missing or mismatched structures and suggests refactoring actions. Use it when onboarding new teams, performing architecture reviews, or aligning code with a Domain‑Driven Design approach.

Quick Start

Invoke the Ontological Mapping skill on your repository to receive a comprehensive domain‑code alignment report.

Frequently Asked Questions about Ontological Mapping

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

FAQPage Schema
How do I map domain concepts to code structures for domain-driven design?▼

Domain-driven design mapping extracts business entities from documentation and scans codebases to generate correspondence tables, validating that classes and enums accurately reflect domain terminology and relationships.

What is the best way to perform a gap analysis between business models and source code?▼

Gap analysis between business models and source code identifies missing or mismatched structures by comparing extracted domain concepts against code models, producing recommendations for refactoring actions to resolve absent or orphaned mappings.

How does correspondence mapping validate relationships during an architecture review?▼

Correspondence mapping during an architecture review checks inheritance, composition, and dependency mappings against domain rules to identify direct, aliased, distributed, absent, and orphaned mappings within the codebase.

Can I extract domain models from stakeholder language and documentation?▼

Extracting domain models from stakeholder language and documentation pulls core business concepts to ensure entities are accurately represented in code structures, preserving terminology and reducing technical debt.

When do I need ontological mapping for my software project?▼

Ontological mapping is needed when onboarding new teams, performing architecture reviews, or aligning code with domain-driven design to ensure business entities and relationships are accurately reflected in classes, enums, and interfaces.

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