What problem does it solve? Ambiguous or high-impact requests often lead to rework when implementation starts before the approach is agreed upon. This Skill prevents wasted effort by investigating the current environment and existing solutions first, then confirming only the decisions that materially change the outcome with the user before writing code. ## Core Features & Use Cases - Gate Detection: Determines whether a request warrants full research-and-alignment (architecture changes, new features, UI/UX direction, migrations, destructive actions) or just a quick check for small fixes and approved plans. - Prior-Art Research: Inspects repository instructions, code, dependencies, past tasks, and official documentation, searching for existing solutions in order: in-repo implementations, standard features, maintained libraries, and public examples. - Lightweight Alignment: Presents one recommended approach with key trade-offs, asks at most three outcome-changing questions with suggested answers, and proceeds on reasonable assumptions for everything else. - Use Case: Before adding a new dependency or redesigning a data model, use this Skill to survey existing libraries, compare adopt-versus-build options, and confirm the direction with the requester in the same task. ## Quick Start Ask the agent to research existing solutions and align on the approach before implementing the requested feature or architectural change.
