What problem does it solve?
This Skill helps teams run a structured retrospective when iteration feedback, delivery artifacts, and process signals are scattered across PMContext and project outputs. It turns vague reflections or complaint-heavy reviews into concrete themes, prioritized action items, and reusable lessons that can improve the next cycle.
Core Features & Use Cases
- Structured retrospective generation: Produces one of three retrospective formats: Start/Stop/Continue, 4Ls, or Sailboat.
- Theme aggregation from evidence: Groups raw feedback into recurring themes, adds frequency and sentiment, and uses workflow artifacts when direct feedback is missing.
- Action-oriented follow-through: Creates prioritized action items with owner, due date, and measurable threshold so outcomes are executable rather than aspirational.
- Knowledge loop closure: Writes reusable experience and learning records back into PMContext so future planning and delivery can benefit from past iteration insights.
- Use case: After a sprint or product iteration, a PM can use this Skill to review PRD, sketch, loop artifacts, and team comments, then produce a clear retro report with top issues, next actions, and reusable team operating rules.
Quick Start
Ask the AI to run pm-retro for your latest iteration and generate a retrospective with grouped themes, prioritized action items, and PMContext learnings.