What problem does it solve?
This skill prevents the loss of critical context, decisions, and learned patterns that occur when AI sessions are rotated or compressed, ensuring long-term memory continuity.
Core Features & Use Cases
- Durable Memory Extraction: Automatically parses session transcripts to identify and store user preferences, strategic decisions, and behavioral insights into the appropriate memory tiers.
- Self-Correction & Validation: Employs a multi-stage write-gate and self-judgement system to ensure only high-value, non-redundant information is persisted.
- Use Case: After a complex multi-hour coding session, trigger this skill to distill the architectural decisions and new project-specific learnings into your permanent knowledge base, keeping your future context clean and relevant.
Quick Start
Type /save in the chat to trigger the session summary extraction and persist your current progress to the memory system.