Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
refoundai avatar

Post Mortems Retrospectives

  • 1.6k installs
  • 1.2k repo stars
  • Updated July 16, 2026
  • refoundai/lenny-skills

post-mortems-retrospectives facilitates blameless project reviews that extract actionable systemic learnings.

About

The post-mortems-retrospectives skill applies frameworks from eleven Lenny Podcast leaders to turn project outcomes into actionable learning. It distinguishes failure, success, and routine checkpoints, emphasizes blameless psychological safety, and uses pre-mortem kill criteria from Annie Duke. Reframing retrospectives positively, institutionalizing weekly impact and learnings reviews, and grading OKRs for why not what percentage are core themes. Agents ask about ignored early signals, systemic contributors, and follow-through mechanisms. Mistakes flagged include blame framing, no action on learnings, success-only reviews, score obsession, and one-off events. Use after project success or failure, when establishing team learning loops, or improving decision quality over time.

  • Runs blameless learning-focused retrospectives and post-mortems.
  • Uses pre-mortem kill criteria with pre-committed pivot triggers.
  • Reframes post-mortems as retrospectives emphasizing growth.
  • Grades OKRs for learning insights rather than numeric targets alone.
  • Institutionalizes recurring impact and learnings review rhythms.

Post Mortems Retrospectives by the numbers

  • 1,627 all-time installs (skills.sh)
  • +1 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #322 of 3,301 Productivity & Planning skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

post-mortems-retrospectives capabilities & compatibility

Capabilities
blameless facilitation · kill criteria design · learning review structure
Use cases
planning · project management
npx skills add https://github.com/refoundai/lenny-skills --skill post-mortems-retrospectives

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs1.6k
repo stars1.2k
Security audit3 / 3 scanners passed
Last updatedJuly 16, 2026
Repositoryrefoundai/lenny-skills

How do we review this project so the team actually learns and improves?

Run blameless post-mortems and retrospectives with kill criteria, learning reviews, and OKR grading focused on insights not scores.

Who is it for?

Teams reviewing launches, failures, or quarterly outcomes.

Skip if: Real-time production incident firefighting without review time boxed.

When should I use this skill?

User asks for post-mortem, retrospective, or project learning review.

What you get

Structured retrospective with insights, kill criteria, and follow-through commitments.

  • Kill criteria list
  • Post-mortem learnings document
  • Committed action plan

By the numbers

  • Distills insights from 11 podcast guests with 13 mentions
  • Covers pre-mortem kill criteria and post-mortem learning extraction

Files

SKILL.mdMarkdownGitHub ↗

Post-mortems & Retrospectives

Help the user run effective post-mortems and retrospectives that drive genuine learning using frameworks from 11 product leaders.

How to Help

When the user asks for help with post-mortems or retrospectives:

1. Understand the context - Ask whether this is after a failure, a success, or a routine checkpoint 2. Set the right tone - Help them frame the exercise as learning-focused rather than blame-focused 3. Structure for insights - Guide them toward formats that surface actionable learnings 4. Ensure follow-through - Help them create mechanisms to act on what they learn

Core Principles

Pre-mortems need kill criteria

Annie Duke: "A pre-mortem is only effective if it results in 'kill criteria' - pre-determined signals that will trigger a pivot or shutdown." Identify early signals that a project is failing during the pre-mortem and pre-commit to specific actions if those signals are met.

Reframe failure as growth

Carole Robin: "The acronym is A-F-O-G, another F-ing... Another Fucking Opportunity for Growth. My question, when something has gone wrong or a person has experienced a failure, my first question is always, so what did you learn?" When a failure occurs, immediately ask "What is the lesson here?" to maintain perspective during painful setbacks.

Call them retrospectives, not post-mortems

Eeke de Milliano: "Instead of calling something a postmortem, call it a retrospective, so that it's a positive thing. Like, 'Hey, we're learning from this thing.'" Reframing helps normalize failure and focuses the team on learning rather than blame.

Institutionalize learning reviews

Ben Williams: "We have these team level impact and learnings reviews... The teams continuously document any learnings from data exploration, from experimentation, from user research." Hold weekly "Impact and Learnings" reviews focused on insights rather than status updates, and socialize learnings across the entire company.

Grade OKRs for learning, not performance

Christina Wodtke: "What matters is, why 80%? Really focus on the learning... Make sure your grading is secondary to retrospective." The value of grading OKRs lies in the retrospective analysis of why a goal was or wasn't hit, not the number itself. Use end-of-quarter retrospectives to identify systemic blockers.

Make it blameless

The goal is to understand what happened and why, not to assign blame. Create psychological safety so people can share honestly without fear of punishment.

Questions to Help Users

  • "What did we learn that we didn't know before starting this project?"
  • "If we had to do this again with the same information we had at the start, what would we do differently?"
  • "What signals did we see early that we ignored or missed?"
  • "What systemic issues contributed to this outcome that we should address?"
  • "What kill criteria should we set for similar projects in the future?"
  • "How will we ensure these learnings actually influence future decisions?"

Common Mistakes to Flag

  • Blame-focused framing - Turning the exercise into finding fault rather than understanding systems
  • No follow-through - Running retrospectives but never acting on the learnings
  • Only reviewing failures - Missing the opportunity to learn from successes and understand what drove them
  • Optimizing the score, not the learning - Focusing on what percentage of OKRs were achieved rather than why
  • One-time events - Running retrospectives only for big failures instead of making them a regular practice

Deep Dive

For all 13 insights from 11 guests, see references/guest-insights.md

Related Skills

  • running-effective-meetings
  • running-decision-processes
  • planning-under-uncertainty

Related skills

How it compares

Choose post-mortems-retrospectives over generic retrospective templates when decisions need explicit kill criteria and pre-committed pivot actions.

FAQ

Should retrospectives be blame-focused?

No. The goal is systemic understanding with psychological safety, not fault assignment.

What are kill criteria?

Pre-mortem signals that pre-commit the team to pivot or shutdown if they appear.

Do we only retro failures?

Review successes too to understand what drove positive outcomes.

Is Post Mortems Retrospectives safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.