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Agent Skill · 研究检索

post-mortems-retrospectives(事后回顾)

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。

post-mortems-retrospectives 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 5,692。

总安装 24,720周安装 1,019GitHub Stars 715下载 7,760核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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

来源仓库内路径:skills/post-mortems-retrospectives

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/refoundai/lenny-skills --skill post-mortems-re…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

post-mortems-retrospectives 怎么安装?

在终端执行 npx skills add https://github.com/refoundai/lenny-skills --skill post-mortems-retrospectiv…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

post-mortems-retrospectives 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

post-mortems-retrospectives 需要什么权限?

权限级别是只读。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。

post-mortems-retrospectives 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

post-mortems-retrospectives 用的人多吗?

公开数据是累计安装 24,720 次,近一周安装 1,019 次,下载 7,760 次,GitHub 715 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

post-mortems-retrospectives 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
post-mortems-retrospectives

事后回顾 · 本页

24,720715只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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

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。目前只有一个公开来源,建议同时核对源仓库。

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