wiki-doctor

What problem does it solve?

A knowledge base wiki gradually accumulates broken links, orphan pages, unresolved contradictions, outdated superseded content, and structural gaps that make it unreliable for decision-making and slow to query. This skill automates the detection and repair of these common maintenance issues, keeping your wiki accurate and easy to navigate.

Core Features & Use Cases

• Automated Link and Orphan Repair: Automatically fixes trivial WikiLink mismatches and converts loose non-markdown files into proper companion notes, while flagging remaining broken links for manual review.
• Content Gap Detection: Scans for stub pages that need expansion, known contradictions that require resolution, and missing top-level topics or dedicated pages for cross-referenced concepts.
• Supersession Integrity Checks: Validates that superseded page links are consistent, identifies pages marked as replaced but missing formal supersession metadata, and generates a review queue for user confirmation before applying changes.
• Freshness Status Reporting: Provides drift and provenance checks to highlight outdated content that needs updating.
• Use Case: After ingesting new raw notes into your wiki, run this skill to automatically clean up link errors, flag content that needs expansion, and identify conflicting claims before they lead to incorrect decisions.

Quick Start

Ask your AI assistant to run a wiki health check to automatically fix broken links, flag orphan pages, and identify content gaps and contradictions in your knowledge base.