premortem

GitHub

通过假设计划失败并回溯原因,识别潜在风险及预防措施。适用于发布前、重大决策或高风险项目,帮助暴露隐藏问题并制定缓解方案。

.claude/skills/premortem/SKILL.md MaxMiksa/Auto-Company

触发场景

项目启动前的风险评估 重大决策前的隐患分析 高风险 initiatives 的预防性规划

安装

npx skills add MaxMiksa/Auto-Company --skill premortem -g -y
更多选项

非标准路径

npx skills add https://github.com/MaxMiksa/Auto-Company/tree/main/.claude/skills/premortem -g -y

不安装直接使用

npx skills use MaxMiksa/Auto-Company@premortem

指定 Agent (Claude Code)

npx skills add MaxMiksa/Auto-Company --skill premortem -a claude-code -g -y

安装 repo 全部 skill

npx skills add MaxMiksa/Auto-Company --all -g -y

预览 repo 内 skill

npx skills add MaxMiksa/Auto-Company --list

SKILL.md

Frontmatter
{
    "name": "premortem",
    "description": "Pre-mortem analysis that imagines a plan has failed, then works backward to identify causes and preventions. Use before launches, major decisions, or risky initiatives to surface hidden risks.",
    "user-invocable": true
}

Pre-Mortem Analysis

Imagine the plan has completely failed, then work backward to identify what went wrong and how to prevent it.

Instructions

Set the scene: "It's [timeframe] in the future. This initiative was a complete disaster. Looking back, what happened?"

Generate failure scenarios without filtering for likelihood—get everything on the table first, then prioritize.

Output Format

The Plan Summarize what's being attempted and the success criteria.

Time Jump "It's [X months] later. This has failed completely. The outcome: [describe the disaster vividly]."

What Went Wrong

Generate 8-12 plausible failure causes across categories:

Category Failure Mode How It Played Out
Execution [What failed] [The story of how]
External [What failed] [The story of how]
People [What failed] [The story of how]
Technical [What failed] [The story of how]
Assumptions [What failed] [The story of how]

Risk Prioritization

Failure Mode Likelihood Impact Priority
... High/Med/Low High/Med/Low 1-5

Top 3 Risks & Mitigations

For each top risk:

  • Risk: [Description]
  • Early Warning Signs: What would indicate this is happening?
  • Prevention: How to reduce likelihood
  • Mitigation: How to reduce impact if it occurs
  • Owner: Who's responsible for watching this?

Pre-Mortem Insights What did this exercise reveal that wasn't obvious before?

Revised Confidence After this analysis, how confident are you in success? What would increase confidence?

Guidelines

  • Be vivid and specific—"the database corrupted" not "something went wrong"
  • Include uncomfortable possibilities (key person leaves, competitor moves, we were wrong)
  • Don't filter for "that won't happen"—the point is to surface hidden concerns
  • Assign real owners to mitigations
  • Look for single points of failure

$ARGUMENTS

版本历史

  • ebfab9b 当前 2026-08-20 08:29

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元信息

文件数
0
版本
8becd54
Hash
dd0537f1
收录时间
2026-08-20 08:29

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