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Pre Mortem

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phuryn
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. Use when preparing for launch, stress-testing a product plan, or identifying what could go wrong.

Overview

Publisherphuryn
Repositorypm-skills
Skill namepre-mortem
Stars
26.4K
Forks
2.8K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by phuryn on GitHub. Read the source before you install it.

Installation

Install the Pre Mortem AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/pm-execution/skills/pre-mortem .claude/skills/pre-mortem
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pre Mortem in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pre Mortem on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pre Mortem is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Pre Mortem AI skill do?

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.

Why use Pre Mortem on TypingMind?

Because you install it once and use it with any model. Pre Mortem is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pre Mortem in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/phuryn/pm-skills/tree/main/pm-execution/skills/pre-mortem. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pre Mortem?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pre Mortem?

As many as you like. As long as a model supports skills, you can use Pre Mortem with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pre Mortem AI skill free?

Yes. It is published on GitHub by phuryn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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