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Agent Skill · 待分类

conduct-retrospective(进行回顾)

conduct-retrospective 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

conduct-retrospective 是待分类类 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,按安装量在待分类类的 11,209 个 Skill 里排第 7,014。

总安装 396周安装 17GitHub Stars 12下载 139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:conduct-retrospective(进行回顾)
来源仓库:https://github.com/pjt222/development-guides
仓库路径:skills/conduct-retrospective
安装命令:
npx skills add https://github.com/pjt222/development-guides --skill conduct-retrospective
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/pjt222/development-guides --skill conduct-retrospective

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

组织结构化项目回顾会议,识别成功经验和改进点。将原始项目数据转化为证据支持的行动改进项。支持冲刺结束、里程碑完成和季度评审等多种场景。安装前需确认权限范围和维护状态,注意是否涉及联网、命令执行或文件读写操作。conduct-retrospective 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/conduct-retrospective

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/pjt222/development-guides --skill conduct-retr…;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

conduct-retrospective 怎么安装?

在终端执行 npx skills add https://github.com/pjt222/development-guides --skill conduct-retrospective。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

conduct-retrospective 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。

conduct-retrospective 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。

conduct-retrospective 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。

conduct-retrospective 用的人多吗?

公开数据是累计安装 396 次,近一周安装 17 次,下载 139 次,GitHub 12 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。

conduct-retrospective 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。
  • 需要处理待分类类任务、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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
conduct-retrospective

进行回顾 · 本页

39612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

Conduct a Retrospective

Facilitate a structured retrospective that reviews recent project execution, identifies what worked and what didn't, and produces actionable improvement items that feed back into project processes. This skill transforms raw project data into evidence-backed learnings with specific actions, owners, and due dates.

When to Use

  • End of a sprint (sprint retrospective)
  • End of a project phase or milestone
  • After a significant incident, failure, or success
  • Quarterly review of ongoing project processes
  • Before starting a similar project (lessons learned review)

Inputs

  • Required: Period under review (sprint number, date range, or milestone)
  • Optional: Status reports from the review period
  • Optional: Sprint velocity and completion data
  • Optional: Previous retrospective actions (to check closure)
  • Optional: Team feedback or survey results

Procedure

Step 1: Gather Retrospective Data

Read available artifacts from the review period:

  • STATUS-REPORT-*.md files for the period
  • SPRINT-PLAN.md for planned vs actual
  • BACKLOG.md for item flow and cycle times
  • Previous RETRO-*.md for open action items

Extract key facts:

  • Items planned vs completed
  • Velocity trend
  • Blockers encountered and resolution time
  • Unplanned work that entered the sprint
  • Open action items from previous retrospectives

Expected: Data summary with quantitative metrics (velocity, completion %, blocker count).

On failure: If no artifacts exist, base the retrospective on qualitative observations.

Step 2: Structure "What Went Well"

List 3-5 things that worked well, with evidence:

## What Went Well
| # | Observation | Evidence |
|---|------------|---------|
| 1 | [Specific positive observation] | [Metric, example, or artifact reference] |
| 2 | [Specific positive observation] | [Metric, example, or artifact reference] |
| 3 | [Specific positive observation] | [Metric, example, or artifact reference] |

Focus on practices to continue, not just outcomes. "Daily standups kept blockers visible" is more actionable than "We delivered on time."

Expected: 3-5 evidence-backed positive observations.

On failure: If nothing went well, look harder — even small wins matter. At minimum, the team completed the period.

Step 3: Structure "What Needs Improvement"

List 3-5 things that need improvement, with evidence:

## What Needs Improvement
| # | Observation | Evidence | Impact |
|---|------------|---------|--------|
| 1 | [Specific issue] | [Metric, example, or incident] | [Effect on delivery] |
| 2 | [Specific issue] | [Metric, example, or incident] | [Effect on delivery] |
| 3 | [Specific issue] | [Metric, example, or incident] | [Effect on delivery] |

Be specific and factual. "Estimation was off" is vague. "3 of 5 items exceeded estimates by >50%, adding 8 unplanned days" is actionable.

Expected: 3-5 evidence-backed improvement areas with stated impact.

On failure: If the team claims everything is fine, compare planned vs actual metrics — gaps reveal issues.

Step 4: Generate Improvement Actions

For each improvement area, create an actionable item:

## Improvement Actions
| ID | Action | Owner | Due Date | Success Criteria | Source |
|----|--------|-------|----------|-----------------|--------|
| A-001 | [Specific action] | [Name] | [Date] | [How to verify success] | Improvement #1 |
| A-002 | [Specific action] | [Name] | [Date] | [How to verify success] | Improvement #2 |
| A-003 | [Specific action] | [Name] | [Date] | [How to verify success] | Improvement #3 |

Each action must be:

  • Specific (not "improve estimation" but "add estimation review step to grooming")
  • Owned (one person accountable)
  • Time-bound (due date within next 1-2 sprints)
  • Verifiable (success criteria defined)

Expected: 2-4 improvement actions with owners and due dates.

On failure: If actions are too vague, apply the "how would you verify this was done?" test.

Step 5: Review Previous Actions and Write Report

Check previous retrospective actions for closure:

## Previous Action Review
| ID | Action | Owner | Status | Notes |
|----|--------|-------|--------|-------|
| A-prev-001 | [Action from last retro] | [Name] | Closed / Open / Recurring | [Outcome] |
| A-prev-002 | [Action from last retro] | [Name] | Closed / Open / Recurring | [Outcome] |

Flag recurring items (same issue appearing in 3+ retrospectives) — these need escalation or a different approach.

Write the complete retrospective:

# Retrospective: [Sprint N / Phase Name / Date Range]
## Date: [YYYY-MM-DD]
## Document ID: RETRO-[PROJECT]-[YYYY-MM-DD]

### Period Summary
- **Period**: [Sprint N / dates]
- **Planned**: [N items / N points]
- **Completed**: [N items / N points]
- **Velocity**: [N] (previous: [N])
- **Unplanned Work**: [N items]

### What Went Well
[From Step 2]

### What Needs Improvement
[From Step 3]

### Improvement Actions
[From Step 4]

### Previous Action Review
[From Step 5]

---
*Retrospective facilitated by: [Name/Agent]*

Save as RETRO-[YYYY-MM-DD].md.

Expected: Complete retrospective document saved with actions, evidence, and previous action review.

On failure: If the retrospective has no improvement actions, it's not driving change — revisit Step 3.

Validation

  • Retrospective file created with date-stamped filename
  • Period summary includes quantitative metrics
  • "What Went Well" has 3-5 evidence-backed items
  • "What Needs Improvement" has 3-5 evidence-backed items
  • Improvement actions have owners, due dates, and success criteria
  • Previous retrospective actions reviewed for closure
  • Recurring issues flagged

Common Pitfalls

  • Blame game: Retrospectives review processes and practices, not people. Frame issues as systemic, not personal.
  • Actions without follow-through: The biggest retrospective failure. Always review previous actions before creating new ones.
  • Too many actions: 2-4 focused actions are better than 10 vague ones. The team can only absorb so many changes.
  • No evidence: "We feel estimation is bad" is opinion. "3 of 5 items exceeded estimates by 50%" is data. Always attach evidence.
  • Skipping the positives: Only discussing problems is demoralizing. Celebrating wins reinforces good practices.

Related Skills

  • generate-status-report — status reports provide the data for retrospectives
  • manage-backlog — improvement actions feed back into the backlog
  • plan-sprint — retrospective learnings improve sprint planning accuracy
  • draft-project-charter — review charter assumptions and risk accuracy
  • create-work-breakdown-structure — review estimation accuracy against WBS

平台分布

Codex

35.65%
按下载量换算50

Claude

29.6%
按下载量换算41

Cursor

18.47%
按下载量换算26

Gemini CLI

9.35%
按下载量换算13

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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