graph

Automate rebuilding a vault dependency graph by parsing markdown files and validating interlinks to ensure data consistency. This skill automatically detects document changes and reconciles links to maintain structured metadata across sectors, macros, and thesis notes.

Incremental graph reconstruction performs precise, targeted updates to the dependency graph by processing only modified markdown files. Use it during routine vault edits to minimize processing time and efficiently integrate changes without rebuilding the entire interlinked structure.

Update cross-references in markdown after editing a thesis note by running an automated graph regeneration. The process parses the modified documents, validates sector and macro links, and updates the structured metadata to automatically integrate recent changes.

This vault link management approach is designed for large interconnected knowledge bases. It differentiates between incremental and full rebuilds to efficiently manage complex interlinked documents, detecting changes and reconciling links with minimal manual effort.

The best way to reconcile broken interlinks in a markdown vault is to perform a full graph reconstruction. This forces a complete parse of all markdown files, validates every cross-thesis and sector reference, and rebuilds the structured metadata to resolve inconsistencies.

Use a full rebuild instead of incremental updates for vault dependencies when major structural changes occur or data consistency is compromised. A full reconstruction parses all markdown files and re-validates the entire link graph, whereas incremental updates only process targeted modifications.