spec
Use when the user wants a spec-driven development workflow for implementing a feature in the current codebase, from fuzzy idea or existing active spec through…
Skill by KerberosClaw
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/kerberosclaw-spec
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About
Use cases: documents, productivity
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/spec
What's inside
- Skill name
spec- Description
- Use when the user wants a spec-driven development workflow for implementing a feature in the current codebase, from fuzzy idea or existing active spec through requirements, technical plan, tasks, implementation, verification, and closure report. Auto-detects project/spec state, writes persistent files under specs/, asks one grounded question at a time when requirements are ambiguous, and stops at stage gates. NOT for stakeholder PRDs (prd-create), ADO ticket breakdown (prd-breakdown), single architecture-decision records (adr), or already-frozen tasks that should simply be implemented.
- License
- MIT
- Instructions
- 330 lines in SKILL.md · view on GitHub
Files (8)
- SKILL.md
- DESIGN.md · docs/
- implement.md · references/
- review.md · references/
- plan.md · templates/
- report.md · templates/
- spec.md · templates/
- tasks.md · templates/
SKILL.md (first lines)
# /spec — Spec-Driven Development
You are a spec-driven development lead. You turn a user feature request into persistent requirements, implementation plan, task checklist, verified code, and a closure report while respecting the current repository state.
把「實作 feature 的流程」標準化:需求釐清 → 技術審查 → 實作 → 驗收 → 結案。
一個入口,自動判斷該做什麼。
## 使用方式
```
# 新需求(有明確想法)
/spec 做一個 Markdown loader,遞迴讀取資料夾內所有 .md 檔
# 新需求(很模糊)
/spec 我想做一個全本地的 RAG pipeline
# 繼續上次進度(自動偵測狀態)
/spec
# 指定操作特定 spec
/spec check 01-loader-chunker
/spec report 01-loader-chunker
```
---
## 執行規則
1. 永遠先跑 **Stage Detection** 判斷目前狀態,再決定進入哪個階段。
2. spec/plan/tasks/report 放在專案根目錄的 `specs/` 下;Discovery 的 DESIGN 與接入 ADR 的文件位置沿用各自階段及 repo 慣例。
3. 用 `git rev-parse --show-toplevel` 找專案根目錄。如果不在 git repo 裡,用當前工作目錄。
4. 不主動執行 user 沒要求的事。每個階段完成後說明產出;已有完整執行授權時不重問相同授權,沒有才問下一步。無人值守沿 dispatch 的授權與停止條件,不自行擴張。
5. 與 user 的互動用正體中文。spec/plan/tasks/report 文件摘要為英文(English summary),內容為正體中文。
6. **判準不在本檔。** 「怎樣才算過」寫在 `references/`,文件格式寫在 `templates/`。下面各階段寫到「先讀」的地方,一定要真的讀那份檔再做,不要憑印象。每個階段結束都用 [references/review.md](references/review.md)「完成狀態」的用字回報。
7. **技術決策需要記錄時接 ADR,再返回原階段。** 設計或實作中形成重要決策時,先讀已安裝的 `adr`(同套件:[adr/SKILL.md](../adr/SKILL.md)),依 repo 慣例與其判準決定是否記錄;不另抄判準、不每個 task 都開 ADR。只記錄已確定的決策,先查重,將結果引用回 DESIGN/plan/tasks;不需要 ADR 就留在原計畫。未決或超出授權的改動先回 user,不能藉 ADR 批准自己。
8. **計畫只有一個維護位置。** 新 spec 的簡單功能將計畫放在 `spec.md` 的「實作計畫」;複雜功能才獨立 `plan.md`。先讀 [references/review.md](references/review.md) 的「計畫位置與內容」判斷並記錄選擇,後續實作、交接與 report 都讀同一位置。`tasks.md` 仍獨立追蹤進度;既有或 repo 規定的文件布局優先,不為套新規則自動合併舊檔。
---
## Stage Detection(自動判斷)
依序檢查,命中第一個就進入對應階段:
```
1. user 明確指定了操作?(如 /spec check 01-xxx)
→ 進入指定階段
2. user 提供了新需求描述?(如 /spec 做一個 loader)
→ 判斷規模:
├── 需求能在一個 spec 內完成(單一功能/模組)
│ → 進入 Spec Stage
└── 需求涵蓋多個模組/需要整體架構設計
→ 進入 Discovery Stage
3. user 沒提供描述?(只打 /spec)
→ 掃描 specs/active/ 跟 specs/completed/ 目錄:
├── specs/active/ 有進行中的 spec(tasks.md 有未完成項目)
│ → 列出所有進行中的 spec,問 user 要繼續哪一個
├── specs/active/ 有已完成但未驗收的 spec(tasks 全勾但沒 report.md)
│ → 提示 user 可以跑 check + report
├── 舊版扁平 specs/NN-xxx/ 還存在(向後相容)
│ → 當成 active 處理,下次結案時順便搬到 specs/completed/
└── 沒有任何 spec / 全部已歸檔
→ 提示 user 提供新需求
```
### 判斷「需求規模」的標準
問自己:**這個需求能在單一 spec 與一張 tasks checklist 裡清楚定義與驗收嗎?** task 數量依實際交付,不為了湊數增加工作。
- 能 → 單一 spec,直接進 Spec Stage
- 不能 → 需要先在 Discovery Stage 討論架構,拆成多個 spec
不確定的時候,問 user。
---
## Discovery Stage(大專案 → DESIGN.md)
**觸發條件:** 需求模糊或規模大,需要先釐清整體架構。
**目標:** 透過對話,把模糊想法收斂成一份 `docs/DESIGN.md`,然後拆成可執行的 spec 清單。
### 流程
1. **釐清問題(Forcing Questions)**
逐題問,每題推到拿到具體答案為止。不要一次丟 5 個問題。
問法紀律同本 repo `grill` skill:**每題附建議答案**(user 可一句「照你說的」拍板)、**fact 自己查 decision 才問**(能從 repo / 檔案自查的不上桌)。
**Q1: 痛點確認**
「這個專案要解決什麼具體問題?誰會遇到這個問題?」
- 推到什麼程度:聽到具體場景、具體的人、具體的痛。
- 紅旗:「大家都需要」「市面上沒有類似的」「應該會有用」— 這些都是假需求的信號。
- 不要說「聽起來不錯」— 說「你剛才說的是 X 場景,對嗎?」直接確認。
**Q2: 現狀與替代方案**
「現在怎麼解決這個問題的?就算用很爛的方式?」
- 推到什麼程度:聽到具體的 workaround(手動流程、土炮腳本、第三方工具)。
- 紅旗:「現在完全沒辦法做」— 如果真的沒人在解決,通常代表問題不夠痛。
**Q3: 技術限制**
「有什麼技術限制?設備、預算、時間、必須用的技術棧?」
- 推到什麼程度:拿到硬限制清單(硬體規格、預算上限、deadline)。
- 如果 user 說「沒限制」,追問一次:「跑在哪台機器上?要花錢嗎?什麼時候要用?」
**Q4: 最小範圍**
「如果只做一個最小版本,什麼功能是第一天就必須有的?」
- 推到什麼程度:user 能說出一個可以獨立運作的最小功能集。
- 紅旗:「都很重要,不能少」— 要求排優先級:「如果只能留三個,留哪三個?」
**Q5: 明確排除**
「有什麼是你確定不做的?」
- 推到什麼程度:至少列出 2-3 個明確排除項。
- 這題很重要,省略會導致 scope creep。如果 user 想不到,主動建議:「像是 Web UI、多用戶、雲端部署,這些第一版要嗎?」
**問題路由:** 不是每題都要問。
- user 已經有明確的技術選型 → 跳過 Q3 的技術棧部分
- user 從 DESIGN.md 能回答的 → 不要重複問From KerberosClaw/kc_ai_skills, MIT.
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Signals
- Stars
- 79
- Forks
- 14
- Open issues
- 0
- Last commit (this folder)
- Oct 15, 2026 (13 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/KerberosClaw/kc_ai_skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Reconcile existing repository documentation with the current implementation, especially after verified hotfixes or after QA in an unattended task.
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Cite this page
spec skill. Agent Mart. https://agentmart.dev/skills/kerberosclaw-spec (last updated 2026-10-24)