What problem does it solve? Product teams often face long feature backlogs with no clear method for deciding what to build first, leading to subjective debates and misaligned priorities. This Skill applies structured prioritization frameworks to rank feature ideas and surface the top 5 worth pursuing. ## Core Features & Use Cases - Multi-Dimensional Scoring: Evaluates each feature on impact, effort, risk, and strategic alignment against stated product goals. - Framework Guidance: Applies Opportunity Score (importance × dissatisfaction), ICE, and RICE methods depending on team size and data availability. - Ranked Recommendations: Delivers a top-5 ranking with rationale, key trade-offs, and explicit reasoning for deprioritized items. - Use Case: A product manager with 20 feature ideas from customer interviews uses this Skill to score each one, producing a prioritized table that anchors the next sprint planning discussion. ## Quick Start Ask the AI to prioritize your feature backlog by describing your product goal and pasting your list of feature ideas or attaching a backlog spreadsheet.