What problem does it solve? It converts scattered personal data—WeChat chats, Twitter posts, and blog articles—into a structured, evidence-tagged digital persona for personal backup and memory assistance. ## Core Features & Use Cases - Four-dimension persona modeling: Organizes identity into procedure (work methods), interaction (communication style), memory (life stories), and personality (values and emotions) files. - Evidence-graded sourcing: Tags every claim as verbatim, artifact, or impression so readers know the reliability of each trait. - Conflict tracking: Records contradictory statements in conflicts.md with provisional rulings instead of silently dropping them. - Use Case: A designer wants a self-backup of their thinking style and life stories; the skill reads personality.md first, then interaction.md, and answers questions in their voice while flagging low-evidence areas. ## Quick Start Load this persona and answer questions about design decisions the way Chen Yun would, citing evidence levels for each claim.