feature-development — ai-agent feature-development, rootcause-mcp, community, ai-agent, ide skills, clinical, fastmcp, fishbone-diagram, healthcare, model-context-protocol, Claude Code

v1.0.0
GitHub

À propos de ce Skill

Complete feature development workflow orchestrating multiple skills from planning to deployment. Triggers: FD, 新功能, 開發功能, feature, implement, 實作, 實現, 建立功能, create feature, develop, 開發新, add feature, 加功能, 功能開發.

# Core Topics

ai-agent clinical fastmcp fishbone-diagram healthcare model-context-protocol
u9401066 u9401066
[0]
[0]
Updated: 1/16/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 1/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Review Score
1/11
Quality Score
38
Canonical Locale
zh
Detected Body Locale
zh

Complete feature development workflow orchestrating multiple skills from planning to deployment. Triggers: FD, 新功能, 開發功能, feature, implement, 實作, 實現, 建立功能, create feature, develop, 開發新, add feature, 加功能, 功能開發.

Pourquoi utiliser cette compétence

Complete feature development workflow orchestrating multiple skills from planning to deployment. Triggers: FD, 新功能, 開發功能, feature, implement, 實作, 實現, 建立功能, create feature, develop, 開發新, add feature, 加功能, 功能開發.

Meilleur pour

Suitable for operator workflows that need explicit guardrails before installation and execution.

↓ Cas d'utilisation exploitables for feature-development

! Sécurité et Limitations

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is feature-development?

Complete feature development workflow orchestrating multiple skills from planning to deployment. Triggers: FD, 新功能, 開發功能, feature, implement, 實作, 實現, 建立功能, create feature, develop, 開發新, add feature, 加功能, 功能開發.

How do I install feature-development?

Run the command: npx killer-skills add u9401066/rootcause-mcp/feature-development. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

Which IDEs are compatible with feature-development?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add u9401066/rootcause-mcp/feature-development. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use feature-development immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

feature-development

Install feature-development, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

功能開發工作流

描述

完整的功能開發流程，從規劃到部署，編排多個 Skills 協同工作。

觸發條件

  • 「新功能開發」「implement feature」「建立新功能」
  • 「FD: [功能名稱]」

📋 工作流程

┌─────────────────────────────────────────────────────────────┐
│              Feature Development Workflow                    │
├─────────────────────────────────────────────────────────────┤
│  Phase 1: 📐 規劃 (Planning)                                 │
│  ├─ 需求分析與確認                                           │
│  ├─ 識別影響範圍                                             │
│  └─ 更新 Memory Bank (activeContext)                        │
├─────────────────────────────────────────────────────────────┤
│  Phase 2: 🏗️ 架構 (Architecture)                            │
│  ├─ [ddd-architect] 生成 DDD 結構                           │
│  ├─ 建立介面定義                                             │
│  └─ 更新架構文檔                                             │
├─────────────────────────────────────────────────────────────┤
│  Phase 3: 🧪 測試先行 (TDD)                                  │
│  ├─ [test-generator] 生成測試框架                            │
│  ├─ 撰寫失敗的測試案例                                       │
│  └─ 定義驗收標準                                             │
├─────────────────────────────────────────────────────────────┤
│  Phase 4: 💻 實作 (Implementation)                          │
│  ├─ 實作 Domain 層                                          │
│  ├─ 實作 Application 層                                     │
│  ├─ 實作 Infrastructure 層                                  │
│  └─ 實作 Presentation 層                                    │
├─────────────────────────────────────────────────────────────┤
│  Phase 5: ✅ 驗證 (Verification)                            │
│  ├─ 執行測試套件                                             │
│  ├─ [code-reviewer] 程式碼審查                              │
│  ├─ [security-reviewer] 安全檢查                            │
│  └─ 靜態分析 (mypy, ruff, vulture)                          │
├─────────────────────────────────────────────────────────────┤
│  Phase 6: 📦 提交 (Commit)                                  │
│  ├─ [memory-updater] 更新 Memory Bank                       │
│  ├─ [git-precommit] 執行提交前檢查                          │
│  └─ 提交變更                                                │
└─────────────────────────────────────────────────────────────┘

🚀 使用範例

基本用法

「新功能：用戶認證模組」

AI 執行：
1. 📐 確認需求：登入、註冊、密碼重設
2. 🏗️ 生成 DDD 結構 (Domain/Application/Infrastructure)
3. 🧪 生成測試框架
4. 💻 引導逐步實作
5. ✅ 執行驗證
6. 📦 準備提交

帶參數用法

「FD: Order 管理 --frontend React --backend Python」

AI 執行：
1. 生成後端 Python DDD 結構
2. 生成前端 React DDD 結構
3. 建立 API 契約
4. 生成前後端測試

📊 輸出格式

markdown
1## 🚀 功能開發報告
2
3### 功能: 用戶認證模組
4
5#### Phase 1: 規劃 ✅
6- 需求: 登入、註冊、密碼重設
7- 影響範圍: 5 個新檔案
8
9#### Phase 2: 架構 ✅
10- 建立 Domain/Entities/User.py
11- 建立 Application/UseCases/AuthenticateUser.py
12- 建立 Infrastructure/Repositories/UserRepository.py
13
14#### Phase 3: 測試 ✅
15- 單元測試: 12 個
16- 整合測試: 5 個
17
18#### Phase 4: 實作 🚧
19- [x] Domain 層
20- [x] Application 層
21- [ ] Infrastructure 層
22- [ ] Presentation 層
23
24#### Phase 5: 驗證 ⏳
25- 等待實作完成
26
27#### Phase 6: 提交 ⏳
28- 等待驗證通過
29
30### 下一步
31實作 Infrastructure 層的 UserRepository

⚙️ 配置選項

參數說明預設值
--frontend前端框架 (React/Vue/none)none
--backend後端語言 (Python/Go/Rust)Python
--skip-tests跳過測試生成false
--quick快速模式（跳過審查）false

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