What problem does it solve? Teams often run unfocused retrospectives that produce vague complaints instead of concrete improvements. This Skill structures the retrospective process, turning raw team feedback into themed insights and a short list of actionable, assigned, and measurable improvement items. ## Core Features & Use Cases - Multiple Retrospective Formats: Choose from Start/Stop/Continue, 4Ls (Liked/Learned/Lacked/Longed For), or Sailboat formats based on team context. - Feedback Clustering: Groups raw feedback (sticky notes, survey responses, Slack messages) into themes and detects sentiment patterns. - Sprint Performance Analysis: Reviews sprint goals, velocity versus commitment, blockers, and collaboration patterns. - Prioritized Action Items: Produces 2-3 specific, assignable, measurable action items with owners, deadlines, and success metrics, plus carry-over tracking from previous retros. - Use Case: After a sprint where the team missed its goal, paste the sprint data and team feedback, and receive a structured retrospective summary with themed insights and follow-up actions. ## Quick Start Ask the AI to facilitate a retrospective for your latest sprint using the provided sprint data and team feedback, and generate a summary with prioritized action items.
