What problem does it solve? Long chat sessions accumulate valuable context—decisions, findings, file paths, and preferences—that disappears when the session ends or context overflows. This Skill captures that working memory into a persistent MEMORY.md file so future sessions can restore it. ## Core Features & Use Cases - Session Knowledge Extraction: Reviews the entire conversation and organizes findings into sections like Current State, Decisions Made, Key Files, and Next Steps. - Merge-Based Persistence: Reads any existing MEMORY.md and merges new information instead of overwriting, keeping entries dated and concise. - CLAUDE.md Coordination: Avoids duplicating CLAUDE.md content and suggests promoting stable, recurring patterns into permanent project instructions. - Use Case: Before ending a long debugging or research session, invoke the skill to write a structured MEMORY.md at the repo root, then restore it later with /load-memory. ## Quick Start Ask the AI to save everything from this session into MEMORY.md at the repository root before ending the conversation.