What problem does it solve?
Converts unstructured inputs (text, JSON, Markdown, code) into structured knowledge schemas and ontologies, saving time and reducing manual drafting effort.
Core Features & Use Cases
- Extracts hierarchical structures and semantic relationships from diverse inputs and outputs Obsidian-compatible Markdown with rich frontmatter and mermaid diagrams.
- Exports to multiple semantic formats (JSON-LD, RDF/OWL, Cypher, GraphQL) for integration with databases and knowledge graphs.
- Supports fractal and free-mode generation with property inheritance and multi-dimensional navigation for scalable knowledge architectures.
- Use case: a team collects notes, API specifications, and data dictionaries and needs a browsable ontology to discover connections and downstream dependencies.
Quick Start
Provide input content and let the skill generate a complete knowledge schema in Obsidian markdown and export formats.