What problem does it solve? Engineers often commit to the first pragmatic solution without knowing what advanced techniques exist beyond it. This Skill maps the maximalist end of the design space — advanced data structures, distributed-systems algorithms, niche frameworks, design patterns, and frontier tooling — so users can make informed decisions or plan learning paths. ## Core Features & Use Cases - Ranked Alternatives: Proposes 3–6 advanced alternatives to the current baseline, each scored on a calibrated 🔥 1–10 complexity scale with learning links, skills developed, and payoff scenarios. - Three Modes: --max filters to 🔥 7+ frontier options, --advanced switches to operator-focused comparison columns (ops burden, hiring difficulty, time to first commit), and --current uses web search to verify project health and refresh references. - Use Case: A staff engineer writing a tech-design document invokes overkill --advanced on a proposed in-process cache to survey and rule out options like CRDTs, consistent hashing, and Materialize with real adoption-cost framing. ## Quick Start Ask the AI to run overkill on your current solution, for example by saying "overkill this" after describing your pragmatic approach.