SkillsAdd

product-on-purpose/thinking-framework-skills

think-after-action-review

Produces a structured after-action review by comparing what was expected against what actually happened, diagnosing why the gaps occurred, and converting them into specific owned sustain-and-change actions.

First seen Jun 19, 2026

Installation

$ npx skills add product-on-purpose/thinking-framework-skills --skill think-after-action-review
View on skills.sh ↗ GitHub repository ↗

Summary

  • Produces a structured after-action review by comparing what was expected against what actually happened, diagnosing why the gaps occurred, and converting them into specific owned sustain-and-change actions.
  • Use when a project, launch, sprint, or incident has finished and you want to turn the outcome into learning, not a status update.

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Also in this package

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npx skills add product-on-purpose/thinking-framework-skills
think-concept-mapping 8 think-question-burst 6 think-premortem 6 think-evidence-vs-inference-sort 6 think-pyramid-principle 5 think-belief-update-routine 5 think-affinity-mapping 5 think-what-would-have-to-be-true 5 think-problem-restatement 5 think-issue-tree 5

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 15
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version0.1.0
LicenseApache-2.0
More metadata
id
thinking-framework-skills.after-action-review
family
meta-thinking-and-reflection
evidence-tier
S
version
0.1.0
standard
0.8

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,837 B
  • docs SUMMARY.md 369 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

<!-- thinking-framework-skills | https://github.com/product-on-purpose/thinking-framework-skills | Apache-2.0 -->

After Action Review

Most retrospectives are an unstructured "how did it go?" that produces venting and vague lessons. The After Action Review imposes the structure that actually carries the benefit: compare what was expected to what actually happened, diagnose why the gaps occurred (in both directions), and convert that into what to sustain and what to change, specifically and with owners. The expected-vs-actual comparison is load-bearing; without a recorded expectation there is nothing to learn against, only hindsight narrative. The output is an after-action review, and it must be blameless to work.

When to Use

  • A project, launch, sprint, experiment, or incident has finished.
  • There was a real expectation to compare the outcome against (or you can reconstruct it honestly).
  • The team wants to learn, not assign fault.

When NOT to Use

  • Before the event (that is a premortem).
  • As a status update or a summary of what shipped.
  • When it will become blame (it stops working the moment people fear fault).
  • When there is genuinely no expectation and none can be honestly reconstructed.

Instructions

When asked to run an after-action review, follow these steps:

  1. State what was expected. The goal, the plan, and the predicted outcome going in. If it was not recorded, reconstruct it honestly and say you are doing so - do not back-fit it to the result.
  2. State what actually happened. The real outcome, concretely, including what went better than expected, not only what went worse.
  3. Diagnose the gaps. For each meaningful difference (both directions), ask why - the actual cause, not the convenient one. Keep it blameless.
  4. Capture what to sustain. The things that worked and should be repeated. Do not skip this for the failures.
  5. Specify what to change. Concrete, owned changes for next time - not vague "communicate better."
  6. Emit the after-action review per references/TEMPLATE.md.

Output Format

Use the template in references/TEMPLATE.md. The deliverable is the expected-vs-actual review with sustain/change actions, not prose and not a status report.

Quality Checklist

Before finalizing, verify:

  • What was expected is stated (recorded or honestly reconstructed), separate from the outcome.
  • What actually happened includes the better-than-expected, not only failures.
  • Each gap has a real "why," kept blameless.
  • What to sustain is captured, not just what to change.
  • Changes are specific and owned, not vague.
  • The output is the AAR artifact, not a status update.

Evidence

Tier S. A meta-analysis of team and individual debriefs (Tannenbaum & Cerasoli, 2013) found structured debriefs improve performance substantially (effect size ~0.79), and the effect depends on the structure - intent, comparison to expectations, specific takeaways - not on merely holding a meeting (origin: US Army TC 25-20). Unstructured retros do not carry this. Evidence is for human teams, transferred to AI use, not AI-validated. Full grading: evidence/dossier.md.

Examples

See references/EXAMPLE.md for a completed after-action review.