What problem does it solve? AI coding sessions lose context between turns, forcing the next session to rediscover decisions, conventions, and open questions. This Skill enforces a disciplined write-to-memory workflow so every decision, plan change, ambiguity, and bug is recorded in a structured .ai-memory/ directory before the turn ends. ## Core Features & Use Cases - Memory Routing Protocol: Routes new information to the correct destination — learned conventions, strictly-avoid rules, suggestions, issues, plans, or ambiguity files. - Index Synchronization: Requires every new memory or plan file to be registered in its corresponding index file in the same operation, keeping the knowledge base navigable. - Ambiguity Lifecycle Management: Tracks open questions in a dedicated folder and moves them to a resolved folder with a Resolution block once answered. - Use Case: After a long refactoring session where several conventions were agreed upon and one requirement remained unclear, run this Skill to log the conventions, record the open ambiguity, update the plan index, and produce a completion summary for the next session. ## Quick Start Ask the AI to persist everything decided and discovered this session into .ai-memory using the write-memory rules.
