What problem does it solve? Over time, tagging systems accumulate duplicate, orphaned, and bloated tags that make retrieval unreliable. This Skill runs co-occurrence analysis on your tags, presents organized cleanup proposals, and executes only the actions you approve. ## Core Features & Use Cases - Duplicate Detection: Identifies similarly named tags and proposes renaming or canonical aliasing to a single normalized tag. - Cluster & Orphan Analysis: Surfaces natural tag clusters and low-usage orphan tags with PMI-based absorption suggestions or archival recommendations. - Notes Budget Enforcement: Finds tags whose notes exceed the 4,000-character ceiling and demotes approved sections into standalone materials. - Use Case: After months of tagging discussions, you notice variants like checkin, check-in, and activity-checkin. Run the cleanup to get a consolidated proposal, approve the canonical merge, and save an audit record of every change. ## Quick Start Ask the AI to run tag cleanup and organize the scattered tags in the current domain.