What problem does it solve? Accumulated learning documents become redundant or mis-scoped over time, and manually merging, archiving, or deleting them risks data loss. This Skill performs consolidation operations on learnings with automatic backups before any destructive action. ## Core Features & Use Cases - Merge Learnings: Combine multiple learning documents into a single file with preserved source attribution, tag aggregation, and optional dry-run preview. - Safe Deletion and Archiving: Delete or archive learnings with automatic backups stored in date-stamped directories under the archive folder. - Scope Management: Move learnings from repo scope to global scope, updating both the filesystem location and SQLite index entries. - Use Case: After a discovery pass flags five overlapping learnings about JWT patterns, run the merge action with a dry run to preview the result, then execute the merge to produce one consolidated document while the originals are backed up. ## Quick Start Ask the AI to merge the learnings with the given IDs into a single document named jwt-patterns using a dry run first to preview the changes.