What problem does it solve?
This Skill helps teams run a consistent, evidence-based retrospective after completing an epic, so lessons learned are captured, recurring problems are surfaced, and the next epic is better prepared.
Core Features & Use Cases
- Epic discovery and completion checks: Identifies which epic to review from sprint status and validates whether its stories are actually done before proceeding.
- Deep implementation analysis: Reviews story files, development notes, review feedback, testing insights, and technical debt to extract patterns and lessons.
- Continuity and next-epic preparation: Compares current execution against the previous retrospective's action items and previews the next epic to identify risks, dependencies, and preparation gaps.
- Use Case: After a product team finishes an implementation epic, use this Skill to facilitate a no-blame retrospective that summarizes wins, challenges, repeated review issues, unfinished commitments, and concrete action items for the next epic.
Quick Start
Ask the AI to run a retrospective for the just-completed epic and summarize lessons learned plus preparation for the next epic.