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bmad-retrospective

Analyze project data and generate retrospective reports after completed epics.

1|Updated May 31, 2026
Search Tags:#retrospective#project improvement#team facilitation#epic analysis#lesson learning
One-click install
npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-retrospective-sfines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-retrospective
Source: https://github.com/sfines/slf-llm-wiki-py/tree/main/.agents/skills/bmad-retrospective
Command: npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-retrospective-sfines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps teams conduct thorough post-epic retrospectives by analyzing project data and facilitating discussions to extract lessons and assess success.

Core Features & Use Cases

  • Post-Epic Review: Automatically analyze project data to extract insights from completed epics.
  • Facilitated Discussion: Guide team discussions on what went well, what didn't, and lessons learned.
  • Actionable Insights: Generate a comprehensive report with actionable insights and recommendations.
  • Use Case: After completing an epic, use this Skill to analyze the project data and facilitate a discussion with the team to identify areas for improvement and celebrate successes.

Quick Start

Run the bmad-retrospective skill with the 'run-all' command to generate a full retrospective report.

Frequently Asked Questions about bmad-retrospective

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

FAQPage Schema
How do I facilitate a post-epic retrospective using project data?▼

Facilitate a post-epic retrospective by configuring project-specific input files to analyze data, extract lessons learned, and guide team discussions for improving future work.

What is the best way to analyze completed epics for lessons learned?▼

Analyzing completed epics for lessons learned involves running an automated script that processes project data to assess successes, identify areas for improvement, and generate a comprehensive report.

How do I generate a full retrospective report after finishing a project epic?▼

Generate a full retrospective report by executing the run-all command, which automatically analyzes project data and outputs actionable insights and recommendations for the team.

Do I need to provide input files for epic analysis?▼

Yes, epic analysis requires project-specific configuration and input files to accurately process data and extract meaningful insights for team discussions.

Can I use this to guide team discussions on what went well and what didn't?▼

Yes, this Skill guides team discussions by structuring the analysis of what went well, what didn't, and lessons learned into a comprehensive report with actionable recommendations.

Are there limitations when using automated retrospective scripts for project improvement?▼

Automated retrospective scripts require properly configured project-specific input files to function; without accurate project data, the extracted lessons and generated insights for project improvement will be limited.

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