What problem does it solve?
DES retrospective support helps teams and agents capture what happened in a data engineering implementation cycle, trace friction back to root causes, and produce a concrete improvement loop instead of unstructured post-mortems.
Core Features & Use Cases
- Evidence-grounded retrospectives: Compares planned vs completed work using sprint plan, story catalog, workflow status, and (when available) code review and release readiness artifacts, while explicitly marking evidence gaps.
- Actionable learning and iteration: Extracts what went well, what did not go well, root causes, technical/quality/governance/CI-CD lessons, and produces action items plus next-sprint recommendations.
- Workflow-aware outputs: Updates workflow status and provides a next recommended support skill (e.g., correct-course) aligned with the retrospective outcome.
Quick Start
Use the des-retrospective skill after sprint closeout to generate _des-output/implementation-artifacts/retrospective-report.md from the available sprint-plan and story-catalog evidence.