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post-mortems-retrospectives事后回顾

Agent Skill

post-mortems-retrospectives 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

24,720

周安装

1,019

GitHub Stars

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下载量

7,760
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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:post-mortems-retrospectives(事后回顾)
来源仓库:https://github.com/refoundai/lenny-skills
仓库路径:skills/post-mortems-retrospectives
安装命令:
npx skills add https://github.com/refoundai/lenny-skills --skill post-mortems-retrospectives
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/refoundai/lenny-skills --skill post-mortems-retrospectives

简介

使用 11 位产品负责人的框架指导团队进行以学习为中心的事后分析和回顾。

  • 帮助将练习视为无责备的学习机会,而不是以责备为中心的复习,强调心理安全和诚实分享
  • 涵盖核心原则,包括使用杀伤标准进行事前剖析、将失败重新定义为增长以及将每周影响和学习回顾制度化
  • 引导用户通过结构化提问来揭示系统见解、早期错过的信号以及影响未来决策的可行学习内容
  • 标记常见错误,包括以指责为中心的框架、缺乏后续行动以及优化学习分数

SKILL.md

Post-mortems & Retrospectives

Help the user run effective post-mortems and retrospectives that drive genuine learning using frameworks from 11 product leaders.

How to Help

When the user asks for help with post-mortems or retrospectives:

  1. Understand the context - Ask whether this is after a failure, a success, or a routine checkpoint
  2. Set the right tone - Help them frame the exercise as learning-focused rather than blame-focused
  3. Structure for insights - Guide them toward formats that surface actionable learnings
  4. Ensure follow-through - Help them create mechanisms to act on what they learn

Core Principles

Pre-mortems need kill criteria

Annie Duke: "A pre-mortem is only effective if it results in 'kill criteria' - pre-determined signals that will trigger a pivot or shutdown." Identify early signals that a project is failing during the pre-mortem and pre-commit to specific actions if those signals are met.

Reframe failure as growth

Carole Robin: "The acronym is A-F-O-G, another F-ing... Another Fucking Opportunity for Growth. My question, when something has gone wrong or a person has experienced a failure, my first question is always, so what did you learn?" When a failure occurs, immediately ask "What is the lesson here?" to maintain perspective during painful setbacks.

Call them retrospectives, not post-mortems

Eeke de Milliano: "Instead of calling something a postmortem, call it a retrospective, so that it's a positive thing. Like, 'Hey, we're learning from this thing.'" Reframing helps normalize failure and focuses the team on learning rather than blame.

Institutionalize learning reviews

Ben Williams: "We have these team level impact and learnings reviews... The teams continuously document any learnings from data exploration, from experimentation, from user research." Hold weekly "Impact and Learnings" reviews focused on insights rather than status updates, and socialize learnings across the entire company.

Grade OKRs for learning, not performance

Christina Wodtke: "What matters is, why 80%? Really focus on the learning... Make sure your grading is secondary to retrospective." The value of grading OKRs lies in the retrospective analysis of why a goal was or wasn't hit, not the number itself. Use end-of-quarter retrospectives to identify systemic blockers.

Make it blameless

The goal is to understand what happened and why, not to assign blame. Create psychological safety so people can share honestly without fear of punishment.

Questions to Help Users

  • "What did we learn that we didn't know before starting this project?"
  • "If we had to do this again with the same information we had at the start, what would we do differently?"
  • "What signals did we see early that we ignored or missed?"
  • "What systemic issues contributed to this outcome that we should address?"
  • "What kill criteria should we set for similar projects in the future?"
  • "How will we ensure these learnings actually influence future decisions?"

Common Mistakes to Flag

  • Blame-focused framing - Turning the exercise into finding fault rather than understanding systems
  • No follow-through - Running retrospectives but never acting on the learnings
  • Only reviewing failures - Missing the opportunity to learn from successes and understand what drove them
  • Optimizing the score, not the learning - Focusing on what percentage of OKRs were achieved rather than why
  • One-time events - Running retrospectives only for big failures instead of making them a regular practice

Deep Dive

For all 13 insights from 11 guests, see references/guest-insights.md

Related Skills

  • running-effective-meetings
  • running-decision-processes
  • planning-under-uncertainty

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02

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03

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能力概览

能力 1

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能力 2

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能力 3

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能力 4

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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

37.43%
按下载量换算2,905

Claude

32.13%
按下载量换算2,493

Cursor

17.32%
按下载量换算1,344

Gemini CLI

9.92%
按下载量换算770

安全审计

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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

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来源信息

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