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pre-mortem验尸前

Agent Skill

pre-mortem 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,744

周安装

531

GitHub Stars

10,797

下载量

4,248
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pre-mortem(验尸前)
来源仓库:https://github.com/phuryn/pm-skills
仓库路径:skills/pre-mortem
安装命令:
npx skills add https://github.com/phuryn/pm-skills --skill pre-mortem
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

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

简介

pre-mortem 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • pre-mortem 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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?

  1. Categorize Risks: Classify each potential failure as one of three types: Tigers: Real problems you personally see that could derail the project Paper Tigers: Problems others might worry about, but you don't believe in them Elephants: Something you're not sure is a problem, but the team isn't discussing it enough

- Based on evidence, past experience, or clear logic - Should keep you awake at night - Require action - Valid concerns on the surface, but unlikely or overblown - Not worth significant resource investment - Worth documenting to align stakeholders - Unspoken concerns or assumptions nobody is validating - Could be real; you're unsure - Deserve investigation before launch

  1. Classify Tigers by Urgency: Launch-Blocking: Must be solved before launch Fast-Follow: Must be solved within 30 days post-launch Track: Monitor post-launch; solve if it becomes an issue

- Example: Core feature broken, regulatory blocker, key customer dependency unmet - Example: Performance issues, secondary features incomplete - Example: Nice-to-have features, edge cases

  1. 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

  1. 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]
  2. 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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.9%
按下载量换算1,525

Claude

30.88%
按下载量换算1,312

Cursor

19.11%
按下载量换算812

Gemini CLI

9.96%
按下载量换算423

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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