What problem does it solve? Maintaining a healthy Zettelkasten knowledge base in Obsidian is hard at scale: notes become orphaned, links break, frontmatter goes missing, and naming conventions drift. This Skill automates the structural audit of your vault so you can find and fix these issues systematically. ## Core Features & Use Cases - Vault Analysis: Scans all Markdown notes to report note counts, link statistics, orphaned notes, broken links, frontmatter compliance, and tag distribution via analyze_vault.py. - Deep Zettelkasten Review: Runs review_zettelkasten.py to score note quality, identify clusters and hub notes, suggest new connections based on shared tags, and generate prioritized recommendations. - Principle-Guided Fixes: Applies Zettelkasten rules (atomicity, connectivity, unique IDs, progressive elaboration) from the bundled reference guide to categorize issues as critical, important, or optimization opportunities. - Use Case: You have a 300-note Obsidian vault and suspect many notes are disconnected. Run the analysis to get a health report listing 12 orphaned notes and 5 broken links, then receive suggested connections for each orphan based on shared tags. ## Quick Start Ask the agent to review your Zettelkasten vault and report orphaned notes, broken links, and connection suggestions.