What problem does it solve? When a user asks an AI assistant to remember something, the information could belong in many places—feedback entries, habits, rules files, tag-notes, pins, auto-memory, or precedent decisions. This Skill provides a mandatory routing flow that determines the correct storage destination so memories are actually retrievable at the right moment instead of being written to the wrong place and lost. ## Core Features & Use Cases - Destination Decision Tree: Classifies each memory request by trigger, type (unconditional rule, conditional judgment criterion, or fact/tip), and risk to select the correct storage target. - Recurrence Handling: Detects repeated corrections via deja vu triggers, records stumble notes, and escalates rules to stronger enforcement (block entries, rules, habits) after repeated failures. - Precedent Format Support: Ships a reference specification for writing conditional judgment criteria as structured precedent decisions with rejected alternatives, scope, and verification anchors. - Use Case: A user says "remember to never push directly to main." The Skill checks existing records, determines this is an unconditional rule with irreversible risk, and routes it to a block-level feedback entry or rules file after user approval. ## Quick Start When I ask you to remember or save something, use the remember skill to decide where it should be stored.