parse-knowledge

To convert unstructured text into structured markdown knowledge vaults, you feed the raw notes into the parser to automatically generate a main note with YAML frontmatter and atomic concept pages using Wikilinks for cross-linking.

Creating atomic wiki notes from raw research notes involves analyzing the text to identify a primary Area and Topic, then generating concise concept pages in a specific category directory using templates for timeless definitions.

Yes, you can automatically generate YAML frontmatter and Wikilinks. The parser creates a main note with proper frontmatter and enriches the content with Wikilinks like [[Redux]] to ensure consistent structure and discoverability.

You need to specify the target Area and Topic within the OrbitOS vault structure. The parser then uses this input to generate the main note in the research directory and atomic notes in the knowledge base directory.

Parsing unstructured text into OrbitOS areas and wiki concepts works by ingesting raw input, identifying the primary Area and Topic, and refactoring the text into Area-specific notes and atomic concept pages using predefined templates.