What problem does it solve? When switching between AI assistants or initializing a new agent's long-term memory, users lose accumulated context about their preferences, projects, and standing instructions. This Skill packages conversation history, memories, and behavioral patterns into a portable, high-density user profile file that another AI can inherit. ## Core Features & Use Cases - Structured Profile Generation: Produces a fixed-order output covering user identity, stable preferences, confirmed relationships, dated events and projects, and long-term instructions. - Evidence-Based Memory Filtering: Includes only long-term stable information with quoted evidence and dates, excluding one-off remarks, unverified speculation, and temporary interests. - Strict Output Discipline: Enforces third-person phrasing, no Markdown tables, and a per-item format of attribute, value, evidence quote, and date. - Use Case: Before migrating from one AI assistant to Hermes or another agent, ask it to package your context so the new system starts with your preferences, active projects, and standing rules already loaded. ## Quick Start Ask the assistant to package my context into a user migration summary file based on our conversation history and stored memories.
