What problem does it solve? Complex systems accumulate accidental complexity over time, and teams stop questioning why things are built the way they are. This Skill performs a structured fresh-eyes review: it designs the simplest possible solution from the stated purpose alone, then tests each proposal against the real constraints that shaped the current implementation. ## Core Features & Use Cases - Purpose-First Design: Writes a one-paragraph purpose statement free of current implementation details, then designs naive proposals from it without anchoring to the existing mechanism. - Fence Walking: Investigates every difference between a proposal and the current shape using git log, blame, comments, issues, and tests, classifying each constraint as live, dead, or unknown. - Survivor Report: Delivers ranked proposals with verdicts on each constraint, the cost of absorbed constraints, evidence for dead ones, and flagged unknown risks. - Use Case: When a developer asks "why is this config pipeline so complicated?" or "why don't we just use a single file?", the Skill produces a first-principles redesign and an evidence-backed explanation of which simplifications are safe. ## Quick Start Ask the AI to do a fresh-eyes review of the authentication module and explain why it is so complicated.
