What problem does it solve? Designing UI features by gut instinct leads to inconsistent patterns, design system drift, and stakeholder misalignment. This Skill enforces a structured UX workflow that benchmarks world-class products, evaluates candidates against your design system and business needs, and produces comparable Storybook prototypes before any commitment. ## Core Features & Use Cases - Six-phase workflow: Clarify requirements, benchmark 5+ world-class references (Linear, Stripe, Notion, etc.), score candidates on a 4-axis evaluation matrix, build an OOUX Object Map, design 2-3 shortlisted candidates as interactive Storybook stories, and self-audit across 6 quality dimensions before stakeholder review. - OOUX/ORCA object modeling: Defines core objects, relationships, CTAs per role, and attributes shared across all candidates so stakeholder comparison focuses on UI shape rather than data model debates. - Design system governance: Enforces consume-before-invent rules, token hygiene, and explicit flagging of any new component needs, preventing exploration code from polluting the production design system. - Use Case: When asked to "prototype a bulk filter feature", the Skill scans how Linear, Stripe, and Notion solve filtering, scores each approach on DS consistency, business fit, and complexity, then builds three interactive Storybook candidates for stakeholders to compare and decide. ## Quick Start Ask the AI to prototype a specific feature, for example: "做一個 bulk action 的 prototype" or "prototype a notification settings flow".
