Agent skill

Pre Mortem

by killvxk in killvxk/pm-skills-zh

对 PRD(产品需求文档)或发布计划进行事前剖析(Pre-mortem)。将风险分类为老虎(真实问题)、纸老虎(被夸大的担忧)和大象(未被说出的隐忧),并按发布阻断、快速跟进或持续跟踪进行分级。适用于发布准备、对产品计划进行压力测试,或识别可能出错的地方。

MITAuto-check passedProduct & Project Management

Install Pre Mortem

skills CLI
$ npx skills add killvxk/pm-skills-zh --skill pre-mortem -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install killvxk/pm-skills-zh pre-mortem --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/killvxk/pm-skills-zh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/pm-execution/skills/pre-mortem .claude/skills/pre-mortem && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pre-mortem
GitHub stars
167
Token cost
~475 tokens
SKILL.md length
73 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

对 PRD(产品需求文档)或发布计划进行事前剖析(Pre-mortem)。将风险分类为老虎(真实问题)、纸老虎(被夸大的担忧)和大象(未被说出的隐忧),并按发布阻断、快速跟进或持续跟踪进行分级。适用于发布准备、对产品计划进行压力测试,或识别可能出错的地方。

  • Works in 7 steps: 获取 PRD:如果用户提供了 PRD… → 逐步思考 → 风险分类:将每个潜在失败归类为以下三种之一 → …
  • Tasks that involve PRD writing
  • SKILL.md covers Purpose(目的), Context(背景), Instructions(操作指南) and Notes(注意事项)
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pre Mortem is an agent skill from killvxk/pm-skills-zh. 对 PRD(产品需求文档)或发布计划进行事前剖析(Pre-mortem)。将风险分类为老虎(真实问题)、纸老虎(被夸大的担忧)和大象(未被说出的隐忧),并按发布阻断、快速跟进或持续跟踪进行分级。适用于发布准备、对产品计划进行压力测试,或识别可能出错的地方。

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: PM Skills Marketplace 简体中文版 - 65个产品经理技能和36个工作流,翻译自 https://github.com/phuryn/pm-skills/. The licence is MIT.

When your agent uses it

  • Tasks that involve PRD writing

Example prompts

  • “/pre-mortem”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. 获取 PRD:如果用户提供了 PRD 或产品计划文件,请仔细阅读。理解产品、目标市场、关键假设和时间线。如有必要,可使用网络搜索调研竞争格局或市场状况。
  2. 逐步思考
  3. 风险分类:将每个潜在失败归类为以下三种之一
  4. 按紧迫程度对老虎进行分级
  5. 制定行动计划:对每只发布阻断的老虎
  6. 结构化输出:将分析呈现为
  7. 保存输出:保存为 Markdown 文档:PreMortem-[产品名称]-[日期].md

What it can do on your machine

Read from SKILL.md and the folder at commit 5179784. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • productcompass.pm

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pre Mortem loads about 475 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 73 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~475

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from killvxk/pm-skills-zh at commit 5179784, republished under its MIT licence (© killvxk). 73 words, ~475 tokens.

Download SKILL.mdSave it as .claude/skills/pre-mortem/SKILL.md (or your agent's skills folder).
name
pre-mortem
description
对 PRD(产品需求文档)或发布计划进行事前剖析(Pre-mortem)。将风险分类为老虎(真实问题)、纸老虎(被夸大的担忧)和大象(未被说出的隐忧),并按发布阻断、快速跟进或持续跟踪进行分级。适用于发布准备、对产品计划进行压力测试,或识别可能出错的地方。

产品发布事前剖析(Pre-Mortem)

Purpose(目的)

你是一位资深产品经理,对 $ARGUMENTS 进行事前剖析。本技能设想发布失败,倒推识别真实风险,将其与感知到的担忧区分开来,并为阻断发布的问题制定行动计划。

Context(背景)

事前剖析(Pre-mortem)是一种结构化的风险识别练习,迫使团队在发布前——即还有时间采取行动时——批判性地思考可能出错的地方。通过假设失败,我们能浮现隐藏的担忧,将真正的威胁与被夸大的忧虑区分开来。

Instructions(操作指南)

  1. 获取 PRD:如果用户提供了 PRD 或产品计划文件,请仔细阅读。理解产品、目标市场、关键假设和时间线。如有必要,可使用网络搜索调研竞争格局或市场状况。

  2. 逐步思考:

    • 设想产品将在 14 天后发布
    • 然后设想它失败了——客户没有采用,营收目标未达成,声誉受损
    • 哪里出了问题?
    • 我们遗漏了什么或没有执行好的地方?
    • 我们在哪些方面过于自信了?
  3. 风险分类:将每个潜在失败归类为以下三种之一:

    老虎(Tigers):你亲眼看到的、可能让项目脱轨的真实问题

    • 基于证据、过往经验或清晰的逻辑
    • 应该让你彻夜难眠
    • 需要采取行动

    纸老虎(Paper Tigers):其他人可能担心,但你认为不成立的问题

    • 表面上是合理的担忧,但可能性低或被夸大
    • 不值得大量资源投入
    • 值得记录以对齐干系人

    大象(Elephants):你不确定是否是问题,但团队讨论不够充分的事情

    • 未被明说的担忧或没人在验证的假设
    • 可能是真实的,你也不确定
    • 在发布前值得深入调查
  4. 按紧迫程度对老虎进行分级:

    发布阻断(Launch-Blocking):发布前必须解决

    • 示例:核心功能损坏、监管阻碍、关键客户依赖未满足

    快速跟进(Fast-Follow):发布后 30 天内必须解决

    • 示例:性能问题、次要功能未完成

    持续跟踪(Track):发布后监控;如果成为问题再解决

    • 示例:锦上添花的功能、边界情况
  5. 制定行动计划:对每只发布阻断的老虎:

    • 清晰描述风险
    • 提出具体的缓解行动
    • 确定最合适的负责人(职能/人员)
    • 设定决策/完成日期
  6. 结构化输出:将分析呈现为:

    ## 事前剖析:[产品名称]
    
    ### 老虎(真实风险)
    [列出每个真实风险,附类别和缓解计划]
    
    ### 纸老虎(被夸大的担忧)
    [列出每个,解释为什么不是真正的风险]
    
    ### 大象(未被说出的隐忧)
    [列出每个,推荐调查方法]
    
    ### 发布阻断老虎的行动计划
    [对每个包含:风险、缓解措施、负责人、截止日期]
  7. 保存输出:保存为 Markdown 文档:PreMortem-[产品名称]-[日期].md

Notes(注意事项)

  • 诚实且建设性——目标是提升发布就绪程度,而非追责
  • 若不确定,默认归类为"老虎";提前处理风险总比事后补救好
  • 在分析中纳入跨职能视角(工程、设计、市场推广)
  • 发布前 2-3 周重新审视事前剖析,验证缓解措施是否在按计划推进

Further Reading(延伸阅读)

© killvxk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in pm-execution/skills/pre-mortem of killvxk/pm-skills-zh.

Open the folder on GitHubat commit 5179784

Compare with similar skills

Pre Mortem next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pre Mortem compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pre Mortem this skillkillvxk/pm-skills-zh167—~475Automated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Ralph Tui Create Beadssubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT
Trellis Brainstormanjiemo/SunnyBeach1787 repos~4kAutomated safety check: PassApache-2.0
Adversarial Speczscole/adversarial-spec5561 repos~8.3kAutomated safety check: NotesMIT
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT

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Questions about Pre Mortem

What does Pre Mortem do?

对 PRD(产品需求文档)或发布计划进行事前剖析(Pre-mortem)。将风险分类为老虎(真实问题)、纸老虎(被夸大的担忧)和大象(未被说出的隐忧),并按发布阻断、快速跟进或持续跟踪进行分级。适用于发布准备、对产品计划进行压力测试,或识别可能出错的地方。. Pre Mortem is an agent skill from killvxk/pm-skills-zh.

When should I use Pre Mortem?

Pre Mortem fits situations like: tasks that involve PRD writing.

How do I install Pre Mortem in Claude Code?

Run `npx skills add killvxk/pm-skills-zh --skill pre-mortem -a claude-code`. Or copy the skill folder (pm-execution/skills/pre-mortem in killvxk/pm-skills-zh) into .claude/skills/pre-mortem in your project. Claude Code loads it when a task matches its description.

How do I install Pre Mortem in Codex?

Run `npx skills add killvxk/pm-skills-zh --skill pre-mortem -a codex`. Or copy the skill folder (pm-execution/skills/pre-mortem in killvxk/pm-skills-zh) into .agents/skills/pre-mortem in your project. Codex loads it when a task matches its description.

Can I use Pre Mortem in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add killvxk/pm-skills-zh --skill pre-mortem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pre-mortem, .gemini/skills/pre-mortem, .github/skills/pre-mortem and .opencode/skills/pre-mortem in your project.

What does Pre Mortem need to run?

SKILL.md names no scripts, command-line tools or credentials: Pre Mortem is instructions for the agent only.

Does Pre Mortem access the network?

SKILL.md names 1 domain. As links in the text: productcompass.pm. This is read from the text; nothing was executed.

Is Pre Mortem safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Pre Mortem use?

Pre Mortem is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pre Mortem use?

About 475 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pre Mortem?

Skills that share tags, products or a category with Pre Mortem: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pre Mortem?

killvxk (a GitHub user) maintains it in killvxk/pm-skills-zh, which has 167 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on March 16, 2026.

Source: killvxk/pm-skills-zh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.