cross-linker

Automated cross-referencing in Obsidian identifies unlinked content by analyzing markdown filenames, titles, and frontmatter. It performs case-insensitive searches to discover missing links, then adds high-scoring candidates to build a cohesive knowledge graph.

Orphaned pages in your knowledge graph lack cross-references to other documents. You can find these missing links by triggering a vault scan, which analyzes markdown content and outputs a report detailing pages that remain unlinked after the process.

Link discovery uses context-aware, case-insensitive searches to evaluate potential matches based on filenames and frontmatter. It prioritizes high-scoring candidate links with confidence labels, ensuring only the most relevant connections are added to your notes.

Selective linking is supported through confidence levels and scoring. The Skill evaluates candidate links during the markdown analysis and outputs a report with confidence labels, allowing you to review which links are best suited for referencing before finalizing.

File path resolution within the Obsidian vault is fully supported. The Skill extracts filenames, titles, and other frontmatter details from your markdown files to accurately resolve paths and identify unlinked content across the entire vault.

The best way to find missing links is to trigger an automated scan after adding new content. The Skill performs markdown analysis across your vault, identifies orphaned pages, and outputs a report with newly added links and remaining orphans.