qjudge-architecture-owner — community qjudge-architecture-owner, QJudge, quan0715, community, ai agent skill, ide skills, agent automation, AI agent skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Code Organization Agents needing structured workflow management and clear feature boundaries. QJudge 架構全責技能。當任務涉及分層責任、import direction、feature 拆分、檔名路徑歸屬、重構規劃時使用。只定義架構決策,不包含 PR/compose/UI 細節。

quan0715 quan0715
[26]
[0]
Updated: 3/9/2026

Quality Score

Top 5%
25
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add quan0715/QJudge/qjudge-architecture-owner
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The qjudge-architecture-owner skill by quan0715 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Code Organization Agents needing structured workflow management and clear feature boundaries.

Core Value

Empowers agents to manage code organization and workflow by providing a clear structure for features, shared components, and core infrastructure, utilizing layer directories, import direction, and boundary exception strategies, while following a defined feature workflow from spec to wiring.

Capabilities Granted for qjudge-architecture-owner

Defining layer directory responsibilities for features, shared components, and core infrastructure
Implementing import direction and boundary exception strategies for organized code
Streamlining feature development by following a structured workflow from specification to wiring

! Prerequisites & Limits

  • Requires predefined layer boundaries and feature workflow
  • Does not define PR strategies, relying on qjudge-github-workflow-owner
  • Does not define UI visuals or Carbon details, relying on qjudge-ui-carbon-owner
  • Does not define container execution processes, relying on qjudge-env-compose-owner
Project
SKILL.md
1.6 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

QJudge Architecture Owner

Quick start

  • 先讀 references/layer-boundaries.md 決定代碼落點。
  • 新功能或大重構再讀 references/feature-workflow.md
  • 先做責任切分,再做檔案搬移或重命名。

責任邊界(Owner Scope)

  • ✅ layer 目錄責任(features/shared/core/infrastructure/...)。
  • ✅ import direction 與 boundary 例外策略。
  • ✅ feature workflow(spec -> shared -> feature -> wiring)。
  • ❌ 不定義 PR 策略(交給 qjudge-github-workflow-owner)。
  • ❌ 不定義 UI 視覺與 Carbon 細節(交給 qjudge-ui-carbon-owner)。
  • ❌ 不定義容器執行流程(交給 qjudge-env-compose-owner)。

核心規則

  • Core 層保持純淨:無 UI、無 I/O。
  • Infrastructure 是外部 I/O 唯一入口。
  • Shared 不依賴 feature runtime 細節。
  • Feature 只組裝該 domain 的 workflow。

檢查命令(由 quality skill 提供腳本)

  • node .codex/skills/qjudge-quality-gates-owner/scripts/lint-naming.js --root frontend/src
  • node .codex/skills/qjudge-quality-gates-owner/scripts/lint-architecture.js --root frontend/src

參考文件

  • 層級邊界:references/layer-boundaries.md
  • 新功能流程:references/feature-workflow.md

Cross-skill handoff

  • 需要提交/PR/release,轉 qjudge-github-workflow-owner
  • 需要 UI 規範與 Storybook,轉 qjudge-ui-carbon-owner
  • 需要容器環境執行,轉 qjudge-env-compose-owner

Portable notes

  • 可移植核心:清楚邊界 + 單向依賴 + 明確 composition root。
  • QJudge 特化僅在路徑命名與 lint 規則;概念可直接複用。

FAQ & Installation Steps

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

? Frequently Asked Questions

What is qjudge-architecture-owner?

Perfect for Code Organization Agents needing structured workflow management and clear feature boundaries. QJudge 架構全責技能。當任務涉及分層責任、import direction、feature 拆分、檔名路徑歸屬、重構規劃時使用。只定義架構決策,不包含 PR/compose/UI 細節。

How do I install qjudge-architecture-owner?

Run the command: npx killer-skills add quan0715/QJudge/qjudge-architecture-owner. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for qjudge-architecture-owner?

Key use cases include: Defining layer directory responsibilities for features, shared components, and core infrastructure, Implementing import direction and boundary exception strategies for organized code, Streamlining feature development by following a structured workflow from specification to wiring.

Which IDEs are compatible with qjudge-architecture-owner?

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 qjudge-architecture-owner?

Requires predefined layer boundaries and feature workflow. Does not define PR strategies, relying on qjudge-github-workflow-owner. Does not define UI visuals or Carbon details, relying on qjudge-ui-carbon-owner. Does not define container execution processes, relying on qjudge-env-compose-owner.

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 quan0715/QJudge/qjudge-architecture-owner. 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 qjudge-architecture-owner immediately in the current project.

Related Skills

Looking for an alternative to qjudge-architecture-owner or another community skill for your workflow? Explore these related open-source skills.

View All

openclaw-release-maintainer

Logo of openclaw
openclaw

openclaw-release-maintainer is a specialized AI agent skill for automating release management workflows, designed to work seamlessly with Claude Code.

333.8k
0
Data

widget-generator

Logo of f
f

Generate customizable widget plugins for the prompts.chat feed system

149.6k
0
Design

flags

Logo of vercel
vercel

The React Framework

138.4k
0
Browser

pr-review

Logo of pytorch
pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

98.6k
0
AI