sitemap-graph

You can visualize a sitemap link graph by processing a captured docs corpus to generate Mermaid diagrams and JSON graph data. This maps URL nodes and navigational edges to reveal information flow across pages.

Finding orphan pages and redirect chains involves analyzing your scraped documentation corpus to compute navigability metrics. The generated graph identifies isolated nodes, redirect behavior, and link asymmetry across topic pages.

URL canonicalization for link topology analysis resolves scraped page targets to distinct graph nodes. It ensures accurate sitemap construction by emitting external nodes when targets fall outside the local corpus.

Yes, sitemap graph generation requires a pre-scraped docs corpus with a _meta.md file. The Skill processes this captured data to build the URL-level link graph and output derived metrics.

The best way to identify hub pages and navigational link asymmetry is to generate derived metrics from your scraped docs. This computes cluster structures and highlights where navigation differs from actual hyperlink structure.

You can export both Mermaid diagrams and JSON graph data for further analysis. The Skill outputs sitemap.mmd and sitemap.json files under the topic's 40-graphs directory for tooling and visualization.