← ClaudeAtlas

ontology-generatorlisted

Generate comprehensive ontological knowledge graphs in [[wikilinks]] syntax for InfraNodus visualization. Use when the user requests to create an ontology, extract entities and relationships from text, or generate knowledge graph structures. Handles both topic-based ontology generation and entity extraction from existing text. Output is formatted for direct paste into InfraNodus.com for network visualization and AI-powered gap analysis.
infranodus/skills · ★ 118 · AI & Automation · score 76
Install: claude install-skill infranodus/skills
# Ontology Generator for InfraNodus Generate ontological knowledge graphs in InfraNodus format using [[wikilinks]] syntax. Output can be pasted directly into InfraNodus.com to visualize as a network and develop gaps and clusters with AI. ## Input Types Accept two input types: 1. **Topic**: Generate comprehensive ontology for a given domain 2. **Text**: Extract ontological structure from provided text ## Entity Generation Principles Generate comprehensive responses with multiple elements. Explore the full variety of entities belonging to the domain of inquiry. Include various types of: - Entities - Classes - Relationships - Axioms - Rules **Critical**: Avoid hierarchical structures with one central idea. First iteration should be comprehensive, long, and cover the widest possible domain. Generate network structures, not trees. ## Output Format Each entity uses [[wikilink]] syntax. Relations are described in plain text within the same paragraph. Relation codes appear at paragraph end in [squarebrackets]. ### Syntax Pattern ``` [[entity1]] relation description [[entity2]] [relationCode] ``` ### Formatting Rules - Each relation = separate paragraph line - Minimum 8 paragraphs per relationship type - Each statement MUST have at least 2 entities in [[wikilinks]] - Each statement MUST have a [relationCode] ### Example ``` [[apple]] is an instance of [[fruit]] [isA] [[apple]] grows as a result of [[apple blossom]] [causedBy] [[apple]] has an oval [[shape]] [hasAttribu