What problem does it solve? Starting implementation with vague or evolving requirements leads to rework, scope creep, and misaligned solutions. This Skill structures the pre-implementation phase by capturing ideas into a task directory immediately, asking only high-value questions one at a time, and converging on a clearly scoped MVP with explicit acceptance criteria. ## Core Features & Use Cases - Task-first capture: Creates a task directory and seeds a PRD immediately so no idea is lost, then refines it through structured Q&A. - Research-first technical decisions: Delegates technology and pattern research to sub-agents that persist findings to research files, then presents 2-3 concrete approaches with trade-offs. - Diverge-then-converge workflow: Expands thinking across future evolution, related scenarios, and edge cases before locking an MVP scope with explicit out-of-scope items and an ADR-lite decision record. - Use Case: When a user describes a new feature like "add multiplayer matchmaking", the Skill creates the task, inspects the repo, researches comparable approaches, asks targeted preference questions, and produces a confirmed PRD with an implementation plan split into small PRs. ## Quick Start Ask the AI to brainstorm requirements for a new feature or complex task before writing any code.
