bmad-retrospective

Analyze project artifacts to conduct structured post-epic retrospective reviews.

15|2|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/lorenzogm/bmad-ui --skill bmad-retrospective-lorenzogm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-retrospective
Source: https://github.com/lorenzogm/bmad-ui/tree/main/.cursor/skills/bmad-retrospective
Command: npx skills add https://github.com/lorenzogm/bmad-ui --skill bmad-retrospective-lorenzogm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, yaml, json, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill facilitates structured post-epic reviews to extract lessons learned, assess success, and prepare for future work, improving team performance and project outcomes.

Core Features & Use Cases

  • Post-Epic Review: Analyze completed epics to extract lessons, identify areas for improvement, and celebrate successes.
  • Retrospective Facilitation: Guides the team through the review process, ensuring a constructive and productive discussion.
  • Integration with Project Artifacts: Accesses sprint status, story records, architecture, and product requirements to provide context.
  • Next Epic Preparation: Anticipates challenges and prerequisites for the next epic based on the current epic's learnings.

Quick Start

To initiate a retrospective for the most recently completed epic, use the command 'run a retrospective' or 'lets retro the epic X'.

Frequently Asked Questions about bmad-retrospective

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a post-epic retrospective using sprint status and story records?

To conduct a post-epic retrospective, this Skill analyzes your sprint status, story records, architecture, and product requirements. It facilitates a structured review of successes, challenges, and lessons learned from the completed epic.

What is a structured project review for team improvement?

A structured project review for team improvement is a facilitated post-epic analysis that extracts lessons learned, assesses success, and prepares for future work. It uses project artifacts to guide constructive discussion on challenges and performance.

Do I need Python to run a retrospective on my project artifacts?

Yes, you need Python installed to run this retrospective Skill. It requires a Python environment to process your project artifacts and execute the structured review workflow for team improvement.

Can I use project management artifacts in YAML and JSON for epic analysis?

Yes, you can use project management artifacts in YAML and JSON formats for epic analysis. The Skill parses these configuration files alongside sprint status and story records to provide context for the retrospective.

How to prepare for the next epic based on current lessons learned?

To prepare for the next epic, the retrospective workflow previews upcoming requirements and dependencies. It anticipates challenges and prerequisites by applying the lessons learned and insights extracted from your current epic's review.

What's the best way to facilitate a retrospective discussion on completed epics?

The best way to facilitate a retrospective discussion is using an automated workflow that analyzes project artifacts and guides the team through successes, challenges, and lessons learned. This ensures a constructive and productive review process.