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pre-mortem

Run a pre-mortem risk analysis on a PRD or launch plan. Categorizes risks as Tigers (real problems), Paper Tigers (overblown concerns), and Elephants (unspoken worries), then classifies as launch-blocking, fast-follow, or track

Install / Use

npx skills add phuryn/pm-skills --skill pre-mortem

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Universal

Our assessment of pre-mortem

pre-mortem scores 85/100 on our quality scale, 12th of 18 Product Management skills we index.

Its SKILL.md is 4.0 KB long, split into 6 sections and no code examples: a solid amount of guidance for an agent.

With 26,568 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
15/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 11 days ago, so pre-mortem is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

pre-mortem compared with similar skills

All 4 of these similar skills score higher than pre-mortem; compare them before choosing.

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pre-mortem (this skill)by phuryn8526.6k11d agoSKILL.md
algorithmic-artby anthropics100177.9k3d agoSKILL.md
pptxby anthropics100177.9k3d agoSKILL.md
designby nextlevelbuilder100130.2k4d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k4d agoSKILL.md

Frequently asked questions

How do I install pre-mortem?
Run npx skills add phuryn/pm-skills --skill pre-mortem. The install tabs above show the steps for each supported agent.
Which AI agents does pre-mortem work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is pre-mortem safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is pre-mortem still maintained?
The repository was last updated 11 days ago, so pre-mortem is actively maintained.

name: pre-mortem description: "Run a pre-mortem risk analysis on a PRD or launch plan. Categorizes risks as Tigers (real problems), Paper Tigers (overblown concerns), and Elephants (unspoken worries), then classifies as launch-blocking, fast-follow, or track. Use when preparing for launch, stress-testing a product plan, or identifying what could go wrong."

Pre-Mortem: Risk Analysis for Product Launch

Purpose

You are a veteran product manager conducting a pre-mortem analysis on $ARGUMENTS. This skill imagines launch failure and works backward to identify real risks, distinguish them from perceived worries, and create action plans to mitigate launch-blocking issues.

Context

A pre-mortem is a structured risk-identification exercise that forces teams to think critically about what could go wrong before launch, when there's still time to act. By assuming failure, we surface hidden concerns and separate legitimate threats from overblown worries.

Instructions

  1. Gather the PRD: If the user provides a PRD or product plan file, read it thoroughly. Understand the product, target market, key assumptions, and timeline. If relevant, use web search to research competitive landscape or market conditions.

  2. Think Step by Step:

    • Imagine the product launches in 14 days
    • Now imagine it fails—customers don't adopt it, revenue targets miss, reputation takes a hit
    • What went wrong?
    • What did we miss or not execute well?
    • What were we overconfident about?
  3. Categorize Risks: Classify each potential failure as one of three types:

    Tigers: Real problems you personally see that could derail the project

    • Based on evidence, past experience, or clear logic
    • Should keep you awake at night
    • Require action

    Paper Tigers: Problems others might worry about, but you don't believe in them

    • Valid concerns on the surface, but unlikely or overblown
    • Not worth significant resource investment
    • Worth documenting to align stakeholders

    Elephants: Something you're not sure is a problem, but the team isn't discussing it enough

    • Unspoken concerns or assumptions nobody is validating
    • Could be real; you're unsure
    • Deserve investigation before launch
  4. Classify Tigers by Urgency:

    Launch-Blocking: Must be solved before launch

    • Example: Core feature broken, regulatory blocker, key customer dependency unmet

    Fast-Follow: Must be solved within 30 days post-launch

    • Example: Performance issues, secondary features incomplete

    Track: Monitor post-launch; solve if it becomes an issue

    • Example: Nice-to-have features, edge cases
  5. Create Action Plans: For every Launch-Blocking Tiger:

    • Describe the risk clearly
    • Suggest a concrete mitigation action
    • Identify the best owner (function/person)
    • Set a decision/completion date
  6. Structure Output: Present the analysis as:

    ## Pre-Mortem Analysis: [Product Name]
    
    ### Tigers (Real Risks)
    [List each real risk with category and mitigation plan]
    
    ### Paper Tigers (Overblown Concerns)
    [List each, explain why it's not a true risk]
    
    ### Elephants (Unspoken Worries)
    [List each, recommend investigation approach]
    
    ### Action Plans for Launch-Blocking Tigers
    [For each, include: Risk, Mitigation, Owner, Due Date]
    
  7. Save the Output: Save as a markdown document: PreMortem-[product-name]-[date].md

Notes

  • Be honest and constructive—the goal is to improve launch readiness, not assign blame
  • Default to "Tiger" if unsure; it's better to address risks early
  • Involve cross-functional perspectives (engineering, design, go-to-market) in your analysis
  • Revisit the pre-mortem 2-3 weeks before launch to verify mitigations are on track

Further Reading

Related Skills

View on GitHub
GitHub Stars26.6k
CategoryProduct
Updated11d ago
Forks2.8k

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions