Token导航 LogoToken导航

Agent Skill · 研究检索

wtf.retro(复古复古)

wtf.retro 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

wtf.retro 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,权限为需要联网;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 69,749。

总安装 216周安装 9GitHub Stars 3下载 72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:wtf.retro(复古复古)
来源仓库:https://github.com/xiduzo/wtf
仓库路径:skills/wtf.retro
安装命令:
npx skills add https://github.com/xiduzo/wtf --skill wtf.retro
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/xiduzo/wtf --skill wtf.retro

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。

wtf.retro 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。它支持基于关键词、任务场景或来源线索进行信息聚合与过滤,适用于回顾总结类研究工作。

通过 npx skills add 命令从 GitHub 仓库安装,具体用法需结合原始 README 进一步确认。安装前请核实权限范围、维护状态,并注意是否涉及联网、命令执行或文件读写操作。wtf.retro 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/wtf.retro

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/xiduzo/wtf --skill wtf.retro;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

wtf.retro 怎么安装?

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

wtf.retro 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。

wtf.retro 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

wtf.retro 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。

wtf.retro 用的人多吗?

公开数据是累计安装 216 次,近一周安装 9 次,下载 72 次,GitHub 3 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。

wtf.retro 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。

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。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 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
wtf.retro

复古复古 · 本页

2163需要联网未明确未收录

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

Retro

Close out a completed Epic with a structured retrospective. Core value: compares what was planned (original Epic spec) against what shipped (closed Tasks + PRs), surfaces deviations, routes learnings into steering docs, and formally closes the Epic so the team starts the next initiative with a clean slate.

Process

0. GitHub CLI setup

Run steps 1–2 of ../references/gh-setup.md. Stop if gh is not installed or not authenticated.

1. Identify the Epic

If an Epic number was passed in, use it directly. Otherwise call AskUserQuestion with question: "Which Epic are you closing out?", header: "Epic", and options pre-filled from open Epics via gh issue list --label epic --state open --limit 10.

Fetch the Epic and its full hierarchy:

gh issue view <epic_number>
gh sub-issue list <epic_number>              # feature numbers
# For each feature (in parallel):
gh issue view <feature_number>
gh sub-issue list <feature_number>           # task numbers
# For each task (in parallel):
gh issue view <task_number>

Also fetch:

  • All PRs that closed issues under this Epic (search by Closes #<n> in merged PRs): gh pr list --state merged --json number,title,body,mergedAt --limit 100
  • The original Epic creation date and the date of the last merged PR (actual duration)

2. Check completion status

Verify all work is actually done before running a retro:

  • All child Features are closed
  • All child Tasks are closed (or explicitly marked won't implement)
  • No open PRs targeting feature branches under this Epic

If anything is still open, call AskUserQuestion with:

  • question: "Not all work is closed yet — [list open items]. Run the retro anyway?"
  • header: "Incomplete work"
  • options: [{label: "Run retro anyway", description: "Some items are open — I'll note them as incomplete"}, {label: "Wait until complete", description: "Exit — finish the remaining work first"}]

3. Compare planned vs. shipped

Build a side-by-side comparison:

Planned (from original Epic spec):

  • Goal statement
  • Success Metrics
  • Feature Breakdown (original list from Epic body)
  • Bounded Context

Shipped (from closed issues and PRs):

  • Features actually created and merged
  • Tasks actually created and merged
  • Actual calendar duration (Epic opened → last PR merged)

Identify deviations:

  • Features planned but not built (descoped or deferred)
  • Features added that were not in the original breakdown (scope growth)
  • Tasks that took significantly more iterations than expected (PR re-open, multiple verify cycles)
  • Success Metrics: were they actually achieved? (state what you can verify from the spec; flag ones that require manual measurement)

4. Gather learnings

Use AskUserQuestion for each question. Only ask what isn't already evident from the issue history.

Q1 — What was harder than expected?

  • question: "What was harder or took longer than planned in this Epic?"
  • header: "Friction points"
  • options: pre-filled with 2–3 inferences from the deviation analysis (e.g. "Feature #X needed 3 verify cycles", "Task #Y was unscoped after implementation started")

Q2 — What should we do differently next time?

  • question: "If you ran this Epic again, what would you change about how it was planned or executed?"
  • header: "Process improvements"
  • options: [{label: "Better scoping upfront", description: "Scope drift was the main issue"}, {label: "Earlier design", description: "Design gaps caused implementation rework"}, {label: "Clearer contracts", description: "Interface ambiguity caused re-work"}, {label: "Nothing significant", description: "Execution was smooth"}, {label: "I'll describe it", description: "Free text"}]

Q3 — Any domain model insights?

  • question: "Did this Epic reveal anything new about the domain model — new concepts, corrected names, missing bounded contexts?"
  • header: "Domain insights"
  • options: [{label: "Yes — describe them", description: "New terms or corrections to capture"}, {label: "No domain changes", description: "Model held up well"}]

5. Route learnings to steering docs

For each learning gathered, determine where it belongs using the same routing table as wtf.reflect:

Learning typeTarget doc
Architecture pattern, implementation gotchaTECH.md
Test failure pattern, QA gapQA.md
Design inconsistency, component misuseDESIGN.md
Scope confusion, domain language driftVISION.md
Doesn't clearly fitTECH.md (default)

For each target doc, append under ## Hard-Won Lessons using the format:

- **[Short label]** — [Concrete rule or observation]. *Learned <YYYY-MM-DD> during Epic #<n>.*

Commit the steering doc updates:

git add docs/steering/
git commit -m "docs(steering): lessons from Epic #<epic_number>"

If any domain model insights were gathered (Q3), also update the glossary via the same pattern as wtf.write-epic step 10.

6. Write the retro summary

Post a structured retro comment on the Epic issue:

gh issue comment <epic_number> --body "<retro_summary>"

The retro summary must include:

## Retrospective — <YYYY-MM-DD>

**Duration:** <Epic opened> → <last PR merged> ([n] days)

### Planned vs. shipped

| Item | Planned | Shipped | Delta |
|------|---------|---------|-------|
| Features | [n] | [n] | [+n added / -n descoped] |
| Tasks | [n] | [n] | ... |

**Descoped:** [list features/tasks that were planned but not built — with reason]
**Added:** [list features/tasks added beyond original scope — with reason]

### Success Metrics

| Metric | Target | Achieved |
|--------|--------|----------|
| <from Epic spec> | <value> | ✅ / ❌ / ⚠️ needs manual check |

### Lessons learned

[Bullet list of the learnings gathered in step 4 — in plain language, not the steering doc format]

### Steering docs updated

[List which docs were updated with new lessons]

7. Offer to generate a changelog

Call AskUserQuestion with:

  • question: "Would you like to generate a changelog entry or GitHub Release for this Epic?"
  • header: "Changelog"
  • options: [{label: "Yes — run changelog", description: "Run wtf.changelog for this Epic (recommended)"}, {label: "Not now", description: "Skip — I'll handle the release notes separately"}]

If yes → follow the wtf.changelog process with the Epic number pre-loaded as context.

8. Close the Epic

The Epic closes automatically when all child Feature PRs contain Closes #<feature_number>, which in turn contains Closes #<epic_number> — via GitHub's auto-close chain. Confirm this has happened:

gh issue view <epic_number> --json state -q .state

If the Epic is already CLOSED → print: "Epic # is already closed via merged PRs. Retro complete."

If still open (e.g. auto-close chain didn't fire): ask the user whether to close it via a merged PR reference or directly:

Call AskUserQuestion with:

  • question: "Epic # is still open. How would you like to close it?"
  • header: "Close Epic"
  • options: [{label: "Close as completed", description: "Mark as closed — all work is done"}, {label: "Leave open", description: "I'll close it separately"}]

If "Close as completed":

gh issue close <epic_number> --comment "Closed after retro — all Features and Tasks merged."

9. Print the final summary

Retro complete — Epic #<n>: <title>
──────────────────────────────────────
Duration:      [n] days
Features:      [n] shipped / [n] descoped
Tasks:         [n] merged
Learnings:     [n] captured → TECH.md, QA.md, ...
Epic status:   closed ✅

平台分布

Codex

37.84%
按下载量换算27

Claude

30.83%
按下载量换算22

Cursor

18.52%
按下载量换算13

Gemini CLI

9.79%
按下载量换算7

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

继续浏览同类 Skills