CA
CookApps

Architecture Review

Commandcommand3,4281Verified

Comprehensive architecture review with design patterns analysis and improvement recommendations

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claude-code — commands team architecture review
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CookApps Fine Software Cuisine
CONTENT

Architecture Review

Perform comprehensive system architecture analysis and improvement planning: $ARGUMENTS

Current Architecture Context

  • Project structure: !find . -name "*.js" -o -name "*.ts" -o -name "*.py" -o -name "*.go" | head -5 && echo "..."
  • Package dependencies: ![ -f package.json ] && echo "Node.js project" || [ -f requirements.txt ] && echo "Python project" || [ -f go.mod ] && echo "Go project" || echo "Multiple languages"
  • Testing framework: !find . -name "*.test.*" -o -name "*spec.*" | head -3 && echo "..." || echo "No test files found"
  • Documentation: !find . -name "README*" -o -name "*.md" | wc -l documentation files

    • Task

    Execute comprehensive architectural analysis with actionable improvement recommendations:

    Review Scope: Use $ARGUMENTS to focus on specific modules, design patterns, dependency analysis, or security architecture

    Architecture Analysis Framework:

    1
    System Structure Assessment - Map component hierarchy, identify architectural patterns, analyze module boundaries, assess layered design
    2
    Design Pattern Evaluation - Identify implemented patterns, assess pattern consistency, detect anti-patterns, evaluate pattern effectiveness
    3
    Dependency Architecture - Analyze coupling levels, detect circular dependencies, evaluate dependency injection, assess architectural boundaries
    4
    Data Flow Analysis - Trace information flow, evaluate state management, assess data persistence strategies, validate transformation patterns
    5
    Scalability & Performance - Analyze scaling capabilities, evaluate caching strategies, assess bottlenecks, review resource management
    6
    Security Architecture - Review trust boundaries, assess authentication patterns, analyze authorization flows, evaluate data protection

    Advanced Analysis: Component testability, configuration management, error handling patterns, monitoring integration, extensibility assessment.

    Quality Assessment: Code organization, documentation adequacy, team communication patterns, technical debt evaluation.

    Output: Detailed architecture assessment with specific improvement recommendations, refactoring strategies, and implementation roadmap.

    How to Use & Getting Started

    Protected

    # Step 1: Initialize skill agent setup

    npx skills add Architecture Review --install-production

    python -m pip install -r requirements.txt

    codex plugin install Architecture Review@latest

    export API_KEY=secret_token_key_here

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