feature-development — for Claude Code feature-development, medvision-mcp, community, for Claude Code, ide skills, implement, feature, Development, Planning, feature-development integration

v1.0.0
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Acerca de este Skill

Escenario recomendado: Ideal for AI agents that need 完整的功能開發流程，從規劃到部署，編排多個 skills 協同工作。. Resumen localizado: Complete feature development workflow orchestrating multiple skills from planning to deployment. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Características

完整的功能開發流程，從規劃到部署，編排多個 Skills 協同工作。
「新功能開發」「implement feature」「建立新功能」
┌─────────────────────────────────────────────────────────────┐
│ Feature Development Workflow │
├─────────────────────────────────────────────────────────────┤

# Core Topics

for Claude Code implement feature Development Planning feature-development integration
u9401066 u9401066
[0]
[0]
Updated: 2/2/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

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

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
33
Canonical Locale
zh
Detected Body Locale
zh

Escenario recomendado: Ideal for AI agents that need 完整的功能開發流程，從規劃到部署，編排多個 skills 協同工作。. Resumen localizado: Complete feature development workflow orchestrating multiple skills from planning to deployment. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

¿Por qué usar esta habilidad?

Recomendacion: feature-development helps agents 完整的功能開發流程，從規劃到部署，編排多個 skills 協同工作。. Complete feature development workflow orchestrating multiple skills from planning to deployment. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Mejor para

Escenario recomendado: Ideal for AI agents that need 完整的功能開發流程，從規劃到部署，編排多個 skills 協同工作。.

↓ Casos de uso accionables for feature-development

Caso de uso: Applying 完整的功能開發流程，從規劃到部署，編排多個 Skills 協同工作。
Caso de uso: Applying 「新功能開發」「implement feature」「建立新功能」
Caso de uso: Applying ┌─────────────────────────────────────────────────────────────┐

! Seguridad y limitaciones

  • Limitacion: Requires repository-specific context from the skill documentation
  • Limitacion: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
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?

Escenario recomendado: Ideal for AI agents that need 完整的功能開發流程，從規劃到部署，編排多個 skills 協同工作。. Resumen localizado: Complete feature development workflow orchestrating multiple skills from planning to deployment. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install feature-development?

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

What are the use cases for feature-development?

Key use cases include: Caso de uso: Applying 完整的功能開發流程，從規劃到部署，編排多個 Skills 協同工作。, Caso de uso: Applying 「新功能開發」「implement feature」「建立新功能」, Caso de uso: Applying ┌─────────────────────────────────────────────────────────────┐.

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.

Are there any limitations for feature-development?

Limitacion: Requires repository-specific context from the skill documentation. Limitacion: Works best when the underlying tools and dependencies are already configured.

↓ 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/medvision-mcp. 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.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

feature-development

Resumen localizado: Complete feature development workflow orchestrating multiple skills from planning to deployment. This AI agent skill supports Claude Code

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
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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