pre-mortem

phuryn/pm-skills · updated Jun 2, 2026

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$npx skills add https://github.com/phuryn/pm-skills --skill pre-mortem
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summary

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.

skill.md

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

how to use pre-mortem

How to use pre-mortem on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add pre-mortem
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/phuryn/pm-skills --skill pre-mortem

The skills CLI fetches pre-mortem from GitHub repository phuryn/pm-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/pre-mortem

Reload or restart Cursor to activate pre-mortem. Access the skill through slash commands (e.g., /pre-mortem) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.429 reviews
  • Pratham Ware· Dec 12, 2024

    pre-mortem is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chaitanya Patil· Dec 8, 2024

    Registry listing for pre-mortem matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sofia Abbas· Dec 4, 2024

    Solid pick for teams standardizing on skills: pre-mortem is focused, and the summary matches what you get after install.

  • Piyush G· Nov 27, 2024

    pre-mortem reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mateo Johnson· Nov 23, 2024

    pre-mortem has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sofia Rahman· Nov 19, 2024

    Useful defaults in pre-mortem — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Shikha Mishra· Oct 18, 2024

    I recommend pre-mortem for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mateo Garcia· Oct 14, 2024

    Keeps context tight: pre-mortem is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ira Farah· Sep 21, 2024

    I recommend pre-mortem for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mateo Smith· Sep 17, 2024

    pre-mortem reduced setup friction for our internal harness; good balance of opinion and flexibility.

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