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wtf.retro复古复古

Agent Skill

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。

总安装

216

周安装

9

GitHub Stars

3

下载量

72
CodexClaudeCursorGemini CLI

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: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

简介

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。

SKILL.md

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 ✅

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

37.84%
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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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