spec-bridge-walk

To generate numbered observations for page connections, invoke the structured bridge-walk analysis to produce expandable cards with titles, bodies, severity types, and cross-referenced wikilinks. This structured approach improves clarity and traceability when analyzing relationships across page neighborhoods.

The best way to visualize page neighborhoods in a knowledge graph is by generating an SVG radial link graph with nodes and edges. This visualization displays connections between pages using colored nodes with optional weights, rings, and center markers to aid content exploration.

Structure content audits using wikilinks by generating numbered observation cards with severity classifications like surprising, structural, gap, thread, or meta. Each card includes clickable cross-references to target pages, enabling traceable documentation reviews across connected content neighborhoods.

Yes, you can add walk suggestions and clickable references to knowledge graph exploration by using suggestion chips with page targets and optional reasons, alongside clickable block references. These components guide users through related content neighborhoods during structural analysis.

No, bridge-walk analysis requires no external dependencies to function. The implementation operates independently with optional scripts, references, or assets directories added as needed, requiring only a YAML frontmatter entry for name and description to begin generating structured observations.

You should avoid using structured observation approaches for simple, linear documentation that lacks inter-page connections or complex relationships. This method is designed for content auditing and knowledge graph exploration where analyzing page neighborhoods and cross-references provides meaningful structural insights.