What problem does it solve? Teams often converge on the first plausible solution for ambiguous tasks, leading to rework when constraints surface later. This Skill forces structured divergent thinking before any code is written, producing evaluated options instead of open-ended speculation. ## Core Features & Use Cases - Constraint-First Ideation: Inventories hard constraints (auth boundaries, platform limits, latency budgets, cross-platform parity) before generating any options. - Three-Option Framework: Produces exactly three approaches labeled Conservative, Balanced, and Aggressive, each with affected files, complexity estimates, and lane implications. - Lane Mapping and Handoff: Maps each option to a delivery lane (Direct, DM, HRC) and ends with a justified recommendation plus a named next step. - Use Case: When asked "how should we show pool card momentum", the Skill lists constraints (works on web and mini-program, no LLM calls in the list route), generates static-badge, cached-AI-headline, and WebSocket options, then recommends the balanced option with a handoff to cross-workspace review. ## Quick Start Ask the AI to brainstorm options for an ambiguous feature or architecture decision before choosing an implementation approach.