What problem does it solve? Vague feature requests like "add auth" or "send email notifications" lead to ambiguous implementations, scope creep, and wasted iterations. This Skill turns rough ideas into precise, actionable implementation prompts before any code is written. ## Core Features & Use Cases - Context-Aware Exploration: Reads project files, memory, and framework docs to ground the refined prompt in your actual codebase and existing patterns. - Targeted Clarification: Asks only 2-5 focused questions that cannot be answered from the code, avoiding redundant back-and-forth. - Structured Prompt Output: Produces a plan with Task, Context, Requirements, Deliverables, Success Criteria, and Out of Scope sections, delivered through plan-mode approval for iteration. - Use Case: You type "/boost I want to add a settings page to my Reflex app" and receive a detailed spec covering state management, routing, persistence, and verification steps that another AI session can execute directly. ## Quick Start Ask the assistant to boost your rough feature idea, for example by saying "boost this: add email notifications when a task is completed".
