What problem does it solve? Sprint planning meetings often suffer from overcommitment, unclear dependencies, and unaddressed risks. This Skill structures the entire sprint planning process so teams commit to a realistic scope based on actual capacity rather than guesswork. ## Core Features & Use Cases - Capacity Estimation: Calculates available story points from team availability, historical velocity, and a 15-20% buffer for unplanned work. - Story Selection & Dependency Mapping: Pulls prioritized backlog items, verifies Definition of Ready, sequences dependent stories, and flags external blockers. - Risk Identification: Surfaces high-uncertainty stories, knowledge silos, and at-risk external dependencies with mitigation suggestions. - Use Case: Before a sprint planning meeting, provide your backlog, recent velocity data, and team roster to receive a complete sprint plan summary with a sprint goal, committed stories, and risk register. ## Quick Start Ask the AI to plan the next two-week sprint using your prioritized backlog, the team's average velocity from the last three sprints, and current team availability.
