What problem does it solve?
This Skill prevents context loss by organizing agent memory into a durable structure instead of leaving everything in flat Markdown files. It helps detect when memory is getting too full, preserve important context before compression, and keep long-running work understandable over time.
Core Features & Use Cases
- Compression Detection: Checks memory usage and flags warning or critical thresholds before context is lost.
- Snapshots and Recovery: Saves recent episodic, semantic, and procedural context into backup snapshots for safe recovery.
- Memory Organization: Migrates flat notes into episodic, semantic, and procedural folders for better retrieval.
- Search and Categorization: Searches memories by type and manually routes content into the right memory store.
- Operational Monitoring: Tracks counts, size, growth, and health so agents can manage memory proactively.
- Use Case: An agent that has accumulated days of notes can run this Skill to snapshot important context, reorganize scattered files, and quickly find what happened, what it knows, and how to repeat a workflow.
Quick Start
Ask the assistant to initialize the memory structure, check compression risk, and organize your existing notes into episodic, semantic, and procedural memories.
