pre-mortem
Runs a pre-mortem on a PRD or launch plan: sorts risks into Tigers, Paper Tigers and Elephants, then into launch-blocking, fast-follow or track.
- Kind
- Skill
- Works with
- Claude Code, Cursor
- Source
- PM Skills (Pawel Huryn) @ 2a12295a7717
- Path
- pm-execution/skills/pre-mortem/SKILL.md
- Jobs
- Review, Planning
- Topics
- Product management, Papers & literature
Credit
- Made by
- phuryn
- Original
- github.com/phuryn/pm-skills/blob/2a12295a7717569baa7be181b4cf…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it from a plugin marketplace.
claude plugin install pm-execution@pm-skills
Install factsScanned 2 Nov 2026
- Adds
- .claude/skills/pre-mortem/ (the skill folder)
- Runs scripts
- None found
- Uses the network
- None found
- Needs secrets
- None found
- Source revision
- 2a12295a7717
- Licence
- MIT
- Last activity
- 29 Oct 2026
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- Only the main file is read; other files in the folder are not scanned
# 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? …