architecture-blueprint-generator

작성자: github

코드베이스를 분석하여 다이어그램과 구현 패턴이 포함된 포괄적인 아키텍처 문서를 생성합니다. 기술 스택(.NET, Java, React, Angular, Python, Node.js, Flutter)과 아키텍처 패턴(Clean Architecture, Microservices, Layered, MVVM, Hexagonal, Event-Driven, Serverless, Monolithic)을 자동 감지합니다. 서브시스템, 종속성, 데이터 흐름을 보여주는 C4, UML, Flow 또는 Component 다이어그램을 여러 추상화 수준에서 생성합니다. 핵심 구성 요소, 계층, 데이터를 문서화합니다...

npx skills add https://github.com/github/awesome-copilot --skill architecture-blueprint-generator

Comprehensive Project Architecture Blueprint Generator

Configuration Variables

${PROJECT_TYPE="Auto-detect|.NET|Java|React|Angular|Python|Node.js|Flutter|Other"} ${ARCHITECTURE_PATTERN="Auto-detect|Clean Architecture|Microservices|Layered|MVVM|MVC|Hexagonal|Event-Driven|Serverless|Monolithic|Other"} ${DIAGRAM_TYPE="C4|UML|Flow|Component|None"} ${DETAIL_LEVEL="High-level|Detailed|Comprehensive|Implementation-Ready"} ${INCLUDES_CODE_EXAMPLES=true|false} ${INCLUDES_IMPLEMENTATION_PATTERNS=true|false} ${INCLUDES_DECISION_RECORDS=true|false} ${FOCUS_ON_EXTENSIBILITY=true|false}

Generated Prompt

"Create a comprehensive 'Project_Architecture_Blueprint.md' document that thoroughly analyzes the architectural patterns in the codebase to serve as a definitive reference for maintaining architectural consistency. Use the following approach:

1. Architecture Detection and Analysis

  • ${PROJECT_TYPE == "Auto-detect" ? "Analyze the project structure to identify all technology stacks and frameworks in use by examining:

    • Project and configuration files
    • Package dependencies and import statements
    • Framework-specific patterns and conventions
    • Build and deployment configurations" : "Focus on ${PROJECT_TYPE} specific patterns and practices"}
  • ${ARCHITECTURE_PATTERN == "Auto-detect" ? "Determine the architectural pattern(s) by analyzing:

    • Folder organization and namespacing
    • Dependency flow and component boundaries
    • Interface segregation and abstraction patterns
    • Communication mechanisms between components" : "Document how the ${ARCHITECTURE_PATTERN} architecture is implemented"}

2. Architectural Overview

  • Provide a clear, concise explanation of the overall architectural approach
  • Document the guiding principles evident in the architectural choices
  • Identify architectural boundaries and how they're enforced
  • Note any hybrid architectural patterns or adaptations of standard patterns

3. Architecture Visualization

${DIAGRAM_TYPE != "None" ? `Create ${DIAGRAM_TYPE} diagrams at multiple levels of abstraction:

  • High-level architectural overview showing major subsystems
  • Component interaction diagrams showing relationships and dependencies
  • Data flow diagrams showing how information moves through the system
  • Ensure diagrams accurately reflect the actual implementation, not theoretical patterns` : "Describe the component relationships based on actual code dependencies, providing clear textual explanations of:
  • Subsystem organization and boundaries
  • Dependency directions and component interactions
  • Data flow and process sequences"}

4. Core Architectural Components

For each architectural component discovered in the codebase:

  • Purpose and Responsibility:

    • Primary function within the architecture
    • Business domains or technical concerns addressed
    • Boundaries and scope limitations
  • Internal Structure:

    • Organization of classes/modules within the component
    • Key abstractions and their implementations
    • Design patterns utilized
  • Interaction Patterns:

    • How the component communicates with others
    • Interfaces exposed and consumed
    • Dependency injection patterns
    • Event publishing/subscription mechanisms
  • Evolution Patterns:

    • How the component can be extended
    • Variation points and plugin mechanisms
    • Configuration and customization approaches

5. Architectural Layers and Dependencies

  • Map the layer structure as implemented in the codebase
  • Document the dependency rules between layers
  • Identify abstraction mechanisms that enable layer separation
  • Note any circular dependencies or layer violations
  • Document dependency injection patterns used to maintain separation

6. Data Architecture

  • Document domain model structure and organization
  • Map entity relationships and aggregation patterns
  • Identify data access patterns (repositories, data mappers, etc.)
  • Document data transformation and mapping approaches
  • Note caching strategies and implementations
  • Document data validation patterns

7. Cross-Cutting Concerns Implementation

Document implementation patterns for cross-cutting concerns:

  • Authentication & Authorization:

    • Security model implementation
    • Permission enforcement patterns
    • Identity management approach
    • Security boundary patterns
  • Error Handling & Resilience:

    • Exception handling patterns
    • Retry and circuit breaker implementations
    • Fallback and graceful degradation strategies
    • Error reporting and monitoring approaches
  • Logging & Monitoring:

    • Instrumentation patterns
    • Observability implementation
    • Diagnostic information flow
    • Performance monitoring approach
  • Validation:

    • Input validation strategies
    • Business rule validation implementation
    • Validation responsibility distribution
    • Error reporting patterns
  • Configuration Management:

    • Configuration source patterns
    • Environment-specific configuration strategies
    • Secret management approach
    • Feature flag implementation

8. Service Communication Patterns

  • Document service boundary definitions
  • Identify communication protocols and formats
  • Map synchronous vs. asynchronous communication patterns
  • Document API versioning strategies
  • Identify service discovery mechanisms
  • Note resilience patterns in service communication

9. Technology-Specific Architectural Patterns

${PROJECT_TYPE == "Auto-detect" ? "For each detected technology stack, document specific architectural patterns:" : Document ${PROJECT_TYPE}-specific architectural patterns:}

${(PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect") ? "#### .NET Architectural Patterns (if detected)

  • Host and application model implementation
  • Middleware pipeline organization
  • Framework service integration patterns
  • ORM and data access approaches
  • API implementation patterns (controllers, minimal APIs, etc.)
  • Dependency injection container configuration" : ""}

${(PROJECT_TYPE == "Java" || PROJECT_TYPE == "Auto-detect") ? "#### Java Architectural Patterns (if detected)

  • Application container and bootstrap process
  • Dependency injection framework usage (Spring, CDI, etc.)
  • AOP implementation patterns
  • Transaction boundary management
  • ORM configuration and usage patterns
  • Service implementation patterns" : ""}

${(PROJECT_TYPE == "React" || PROJECT_TYPE == "Auto-detect") ? "#### React Architectural Patterns (if detected)

  • Component composition and reuse strategies
  • State management architecture
  • Side effect handling patterns
  • Routing and navigation approach
  • Data fetching and caching patterns
  • Rendering optimization strategies" : ""}

${(PROJECT_TYPE == "Angular" || PROJECT_TYPE == "Auto-detect") ? "#### Angular Architectural Patterns (if detected)

  • Module organization strategy
  • Component hierarchy design
  • Service and dependency injection patterns
  • State management approach
  • Reactive programming patterns
  • Route guard implementation" : ""}

${(PROJECT_TYPE == "Python" || PROJECT_TYPE == "Auto-detect") ? "#### Python Architectural Patterns (if detected)

  • Module organization approach
  • Dependency management strategy
  • OOP vs. functional implementation patterns
  • Framework integration patterns
  • Asynchronous programming approach" : ""}

10. Implementation Patterns

${INCLUDES_IMPLEMENTATION_PATTERNS ? "Document concrete implementation patterns for key architectural components:

  • Interface Design Patterns:

    • Interface segregation approaches
    • Abstraction level decisions
    • Generic vs. specific interface patterns
    • Default implementation patterns
  • Service Implementation Patterns:

    • Service lifetime management
    • Service composition patterns
    • Operation implementation templates
    • Error handling within services
  • Repository Implementation Patterns:

    • Query pattern implementations
    • Transaction management
    • Concurrency handling
    • Bulk operation patterns
  • Controller/API Implementation Patterns:

    • Request handling patterns
    • Response formatting approaches
    • Parameter validation
    • API versioning implementation
  • Domain Model Implementation:

    • Entity implementation patterns
    • Value object patterns
    • Domain event implementation
    • Business rule enforcement" : "Mention that detailed implementation patterns vary across the codebase."}

11. Testing Architecture

  • Document testing strategies aligned with the architecture
  • Identify test boundary patterns (unit, integration, system)
  • Map test doubles and mocking approaches
  • Document test data strategies
  • Note testing tools and frameworks integration

12. Deployment Architecture

  • Document deployment topology derived from configuration
  • Identify environment-specific architectural adaptations
  • Map runtime dependency resolution patterns
  • Document configuration management across environments
  • Identify containerization and orchestration approaches
  • Note cloud service integration patterns

13. Extension and Evolution Patterns

${FOCUS_ON_EXTENSIBILITY ? "Provide detailed guidance for extending the architecture:

  • Feature Addition Patterns:

    • How to add new features while preserving architectural integrity
    • Where to place new components by type
    • Dependency introduction guidelines
    • Configuration extension patterns
  • Modification Patterns:

    • How to safely modify existing components
    • Strategies for maintaining backward compatibility
    • Deprecation patterns
    • Migration approaches
  • Integration Patterns:

    • How to integrate new external systems
    • Adapter implementation patterns
    • Anti-corruption layer patterns
    • Service facade implementation" : "Document key extension points in the architecture."}

${INCLUDES_CODE_EXAMPLES ? "### 14. Architectural Pattern Examples Extract representative code examples that illustrate key architectural patterns:

  • Layer Separation Examples:

    • Interface definition and implementation separation
    • Cross-layer communication patterns
    • Dependency injection examples
  • Component Communication Examples:

    • Service invocation patterns
    • Event publication and handling
    • Message passing implementation
  • Extension Point Examples:

    • Plugin registration and discovery
    • Extension interface implementations
    • Configuration-driven extension patterns

Include enough context with each example to show the pattern clearly, but keep examples concise and focused on architectural concepts." : ""}

${INCLUDES_DECISION_RECORDS ? "### 15. Architectural Decision Records Document key architectural decisions evident in the codebase:

  • Architectural Style Decisions:

    • Why the current architectural pattern was chosen
    • Alternatives considered (based on code evolution)
    • Constraints that influenced the decision
  • Technology Selection Decisions:

    • Key technology choices and their architectural impact
    • Framework selection rationales
    • Custom vs. off-the-shelf component decisions
  • Implementation Approach Decisions:

    • Specific implementation patterns chosen
    • Standard pattern adaptations
    • Performance vs. maintainability tradeoffs

For each decision, note:

  • Context that made the decision necessary
  • Factors considered in making the decision
  • Resulting consequences (positive and negative)
  • Future flexibility or limitations introduced" : ""}

${INCLUDES_DECISION_RECORDS ? "16" : INCLUDES_CODE_EXAMPLES ? "15" : "14"}. Architecture Governance

  • Document how architectural consistency is maintained
  • Identify automated checks for architectural compliance
  • Note architectural review processes evident in the codebase
  • Document architectural documentation practices

${INCLUDES_DECISION_RECORDS ? "17" : INCLUDES_CODE_EXAMPLES ? "16" : "15"}. Blueprint for New Development

Create a clear architectural guide for implementing new features:

  • Development Workflow:

    • Starting points for different feature types
    • Component creation sequence
    • Integration steps with existing architecture
    • Testing approach by architectural layer
  • Implementation Templates:

    • Base class/interface templates for key architectural components
    • Standard file organization for new components
    • Dependency declaration patterns
    • Documentation requirements
  • Common Pitfalls:

    • Architecture violations to avoid
    • Common architectural mistakes
    • Performance considerations
    • Testing blind spots

Include information about when this blueprint was generated and recommendations for keeping it updated as the architecture evolves."

github의 다른 스킬

console-rendering
github
Go에서 struct 태그 기반 콘솔 렌더링 시스템 사용 지침
official
acquire-codebase-knowledge
github
사용자가 기존 코드베이스에 대한 매핑, 문서화, 또는 온보딩을 명시적으로 요청할 때 이 스킬을 사용하세요. "이 코드베이스를 매핑해줘", "문서화해줘"와 같은 프롬프트에서 트리거됩니다.
official
acreadiness-assess
github
현재 리포
official
acreadiness-generate-instructions
github
AgentRC 명령어를 통해 맞춤형 AI 에이전트 지침 파일을 생성합니다. .github/copilot-instructions.md 파일을 생성합니다(기본값, VS Code의 Copilot에 권장됨).
official
acreadiness-policy
github
사용자가 AgentRC 정책을 선택, 작성 또는 적용할 수 있도록 지원합니다. 정책은 관련 없는 검사를 비활성화하고, 영향/수준을 재정의하며, 설정을 통해 준비 상태 점수를 사용자 지정합니다.
official
add-educational-comments
github
코드 파일에 교육용 주석을 추가하여 효과적인 학습 자료로 변환합니다. 설명의 깊이와 어조를 세 가지 설정 가능한 지식 수준(초급, 중급, 고급)에 맞게 조정합니다. 파일이 제공되지 않으면 자동으로 요청하며, 빠른 선택을 위해 번호 목록 매칭을 제공합니다. 교육용 주석만을 사용하여 파일을 최대 125%까지 확장합니다(엄격한 제한: 새 줄 400개, 1,000줄 초과 파일의 경우 300개). 파일 인코딩, 들여쓰기 스타일, 구문 정확성 등을 유지합니다.
official
adobe-illustrator-scripting
github
Adobe Illustrator 자동화 스크립트를 ExtendScript(JavaScript/JSX)로 작성, 디버깅 및 최적화합니다. 스크립트를 생성하거나 수정하여 조작할 때 사용합니다.
official
agent-governance
github
선언적 정책, 의도 분류, AI 에이전트 도구 접근 및 행동 제어를 위한 감사 추적. 구성 가능한 거버넌스 정책은 허용/차단된 도구, 콘텐츠 필터, 속도 제한, 승인 요구 사항을 정의하며, 코드가 아닌 구성으로 저장됨. 의미론적 의도 분류는 패턴 기반 신호를 사용하여 도구 실행 전에 위험한 프롬프트(데이터 유출, 권한 상승, 프롬프트 인젝션)를 탐지함. 도구 수준 거버넌스 데코레이터는 함수에서 정책을 적용함...
official