What problem does it solve? Wikis grow organically and often develop structural problems: isolated pages nobody links to, dead-end pages with no outgoing links, unbalanced categories, and hidden information gaps. This Skill analyzes the connectivity and topology of an Obsidian-style wiki to surface these issues with concrete improvement recommendations. ## Core Features & Use Cases - Topology Detection: Identifies hub pages, bridge pages, dead-ends, and orphan pages based on incoming and outgoing link counts. - Tag Cluster & Gap Analysis: Groups related tags by prefix, finds orphaned tags used only once, and detects unresolved links pointing to missing pages. - Health Scoring: Produces a structure score with green/yellow/red thresholds for orphans, unresolved links, dead-ends, and category balance. - Use Case: Run a full structural analysis on a 267-page knowledge base to discover that journal entries are bloated, two tags are orphaned, and the references category needs rebalancing. ## Quick Start Ask the assistant to analyze the wiki structure and report hub pages, orphans, and improvement recommendations.
