smart-cross-reference

Cross-reference opportunities in large documentation collections are found by applying automated analysis to detect workflow sequences, propose bidirectional links, and locate orphaned documents. This approach scales navigation mapping across entire doc ecosystems.

Bidirectional linking creates two-way connections between related documents, ensuring references point back to each other. This improves document navigation by allowing users to traverse related content seamlessly across large doc ecosystems.

Orphaned documents with no inbound references are located by scanning the documentation collection for files that are never linked to by others. Discovering these orphans improves content discoverability and highlights gaps in workflow sequences.

Yes, you can preview cross-reference changes before applying them by using a dry-run capability. This allows you to review proposed auto-links, bidirectional connections, and workflow detections safely without modifying your documentation files.

Link-strength scoring quantifies document connectivity to guide maintenance and improvements. You need link-strength scoring when managing large doc ecosystems to identify weakly connected files, prioritize updates, and ensure workflow sequences remain highly accessible.

Auto-linking works for detecting workflow sequences across multiple markdown files by analyzing large documentation collections. It automatically identifies common workflow sequences across documents and proposes bidirectional links to map the entire process.