pm-plan

Sprint planning automation integrates project status, audit checks, active work, and burndown velocity data to guide prioritization. It presents audit issues and backlog stories, then recommends scope items to facilitate task decomposition and estimation for selected stories.

Data-driven sprint planning leverages project status and burndown velocity data to inform backlog prioritization. It surfaces audit issues and active work constraints to recommend scope items, ensuring the selected stories align with actual project conditions and team capacity.

Task decomposition during sprint planning breaks down selected backlog stories into actionable items. After prioritizing stories based on audit checks and velocity data, the workflow facilitates detailed task decomposition and estimation to define the sprint scope.

Yes, this sprint planning workflow operates independently without external dependencies. It automates the structured planning process by generating prioritization recommendations and facilitating task decomposition solely through the Skill's internal logic.

The best way to identify blockers is to review automated audit checks and active work data. The sprint planning workflow surfaces these project status issues upfront, allowing you to address constraints before collaboratively selecting and scoping stories.