What is an After-Action Review (AAR)?

An AAR is a structured professional debrief process focused on analyzing what happened, why it happened, and how to sustain strengths or improve weaknesses in future iterations.

Is the AAR process focused on finding who is at fault?

No, the AAR skill is specifically designed to be blame-free, focusing on events, facts, and systems to encourage honesty and objective learning.

Can I save the output of this skill to my repository?

Yes, the skill generates structured Markdown that is perfect for saving as a DEBRIEF.md or POSTMORTEM.md file within your project documentation.

When is the best time to use the AAR skill?

It is best used immediately or shortly after a significant event while details are still fresh in the participants' minds.

How does this skill benefit software development teams?

It standardizes the post-mortem process, ensuring that critical lessons from deployments, bugs, or sprints are documented and turned into actionable improvements rather than being forgotten.

After-Action Review (AAR)

Name: After-Action Review (AAR)
Author: neurofoo

byneurofoo

•

Productivity & Workflow

Facilitates structured debriefs after projects or events to capture lessons learned and improve future performance.

The After-Action Review (AAR) skill provides a professional framework for post-mortem analysis of any project, software launch, or significant event. It guides users through a four-step process—evaluating initial expectations, documenting factual outcomes, analyzing performance gaps, and defining actionable next steps—to foster a culture of continuous improvement. By focusing on systemic outcomes rather than individual blame, it helps teams extract high-value insights that can be immediately applied to future workflows.

Key Features

01Structured four-step debrief framework (Expectations, Outcomes, Analysis, Actions)

02Root cause identification for both successes and failures

03Action item tracking with assigned owners and specific deadlines

04Blame-free template design optimized for psychological safety and systemic learning

0535 GitHub stars

06Gap analysis comparison between planned objectives and actual results

Use Cases

01Conducting post-sprint reflections to identify and remove workflow bottlenecks

02Analyzing system outages or deployment failures to prevent recurrence

03Reviewing major presentations or client launches to refine future strategies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add neurofoo/agent-skills aar

For use in Claude.ai and ChatGPT

Download Skill