Can this be used for personal knowledge bases?

Yes, the skill is specifically designed to architect personal systems by using atomic notes, temporal layers, and specific naming conventions that facilitate long-term knowledge retention and discovery.

What is ontological organization?

Ontological organization is a method of structuring information based on the inherent nature of an entity (what it essentially is) rather than arbitrary folders, temporary convenience, or historical convention.

What are 'substances' and 'properties' in this architecture?

Substances are primary entities that exist in themselves (like Projects or Persons), while Properties are dependent entities that exist only as aspects of substances (like States or Qualities).

How does this skill improve technical documentation?

It provides structural patterns like the Index Pattern and Relationship Mapping to ensure documentation remains navigable and logically consistent, even as the project grows in complexity across different domains.

Knowledge Architecture Ontology

Name: Knowledge Architecture Ontology
Author: organvm-iv-taxis

byorganvm-iv-taxis

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学習とドキュメンテーション

Designs robust knowledge systems and documentation architectures based on ontological principles rather than arbitrary hierarchies.

This skill empowers users to build sophisticated information systems by organizing data based on its essential nature—what a thing 'is'—rather than where it happens to fit by convention. By implementing ontological foundations, substance-property-event classifications, and first-class relationship mapping, it helps architects and developers create personal knowledge bases, complex documentation systems, and cross-domain linking patterns that reveal deep connections and prevent information fragmentation. It is particularly effective for large-scale technical documentation and evolving research projects where standard folder structures fail to capture the complexity of the domain.

主な機能

01Standardized naming conventions and metadata schemas for knowledge graphs

02Structural principles based on essential vs. accidental properties

03Implementation patterns for atomic notes and context layers

04Relationship mapping using Genus and Differentia logic

05Ontological categorization of substances, properties, and events

062 GitHub stars

ユースケース

01Creating cross-domain translation layers to map concepts between different technical fields

02Designing a complex documentation system for a multi-domain software project

03Building a personal knowledge management (PKM) system or {OS.me} ecosystem

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add organvm-iv-taxis/a-i--skills knowledge-architecture

For use in Claude.ai and ChatGPT

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