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senior-architect

全面软件架构技能，涵盖使用ReactJS、NextJS、NodeJS、Express、React Native、Swift、Kotlin、Flutter、Postgres、GraphQL、Go、Python设计可扩展、可维护系统的能力。包含架构图生成、系统设计模式、技术栈决策框架及依赖分析。适用于系统架构设计、技术决策制定、架构图创建、权衡评估或集成模式定义等场景。

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name:senior-architectdescription:Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.

Senior Architect

Complete toolkit for senior architect with modern tools and best practices.

Quick Start

Main Capabilities

This skill provides three core capabilities through automated scripts:

# Script 1: Architecture Diagram Generator
python scripts/architecture_diagram_generator.py [options]
Script 2: Project Architect

python scripts/project_architect.py [options]
Script 3: Dependency Analyzer

python scripts/dependency_analyzer.py [options]

Core Capabilities

1. Architecture Diagram Generator

Automated tool for architecture diagram generator tasks.

Features:

  • Automated scaffolding

  • Best practices built-in

  • Configurable templates

  • Quality checks

    • Usage:

    python scripts/architecture_diagram_generator.py <project-path> [options]

    2. Project Architect

    Comprehensive analysis and optimization tool.

    Features:

  • Deep analysis

  • Performance metrics

  • Recommendations

  • Automated fixes

    • Usage:

    python scripts/project_architect.py <target-path> [--verbose]

    3. Dependency Analyzer

    Advanced tooling for specialized tasks.

    Features:

  • Expert-level automation

  • Custom configurations

  • Integration ready

  • Production-grade output

    • Usage:

    python scripts/dependency_analyzer.py [arguments] [options]

    Reference Documentation

    Architecture Patterns

    Comprehensive guide available in references/architecture_patterns.md:

  • Detailed patterns and practices

  • Code examples

  • Best practices

  • Anti-patterns to avoid

  • Real-world scenarios

    • System Design Workflows

    Complete workflow documentation in references/system_design_workflows.md:

  • Step-by-step processes

  • Optimization strategies

  • Tool integrations

  • Performance tuning

  • Troubleshooting guide

    • Tech Decision Guide

    Technical reference guide in references/tech_decision_guide.md:

  • Technology stack details

  • Configuration examples

  • Integration patterns

  • Security considerations

  • Scalability guidelines

    • Tech Stack

    Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin
    Frontend: React, Next.js, React Native, Flutter
    Backend: Node.js, Express, GraphQL, REST APIs
    Database: PostgreSQL, Prisma, NeonDB, Supabase
    DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI
    Cloud: AWS, GCP, Azure

    Development Workflow

    1. Setup and Configuration

    # Install dependencies
    npm install
    or

    pip install -r requirements.txt
    Configure environment

    cp .env.example .env

    2. Run Quality Checks

    # Use the analyzer script
    python scripts/project_architect.py .
    Review recommendations

    Apply fixes

    3. Implement Best Practices

    Follow the patterns and practices documented in:

  • references/architecture_patterns.md

  • references/system_design_workflows.md

  • references/tech_decision_guide.md

    • Best Practices Summary

    Code Quality


  • Follow established patterns

  • Write comprehensive tests

  • Document decisions

  • Review regularly

    • Performance


  • Measure before optimizing

  • Use appropriate caching

  • Optimize critical paths

  • Monitor in production

    • Security


  • Validate all inputs

  • Use parameterized queries

  • Implement proper authentication

  • Keep dependencies updated

    • Maintainability


  • Write clear code

  • Use consistent naming

  • Add helpful comments

  • Keep it simple

    • Common Commands

    # Development
    npm run dev
    npm run build
    npm run test
    npm run lint
    Analysis

    python scripts/project_architect.py .
    python scripts/dependency_analyzer.py --analyze
    Deployment

    docker build -t app:latest .
    docker-compose up -d
    kubectl apply -f k8s/

    Troubleshooting

    Common Issues

    Check the comprehensive troubleshooting section in references/tech_decision_guide.md.

    Getting Help

  • Review reference documentation

  • Check script output messages

  • Consult tech stack documentation

  • Review error logs

    • Resources

  • Pattern Reference: references/architecture_patterns.md

  • Workflow Guide: references/system_design_workflows.md

  • Technical Guide: references/tech_decision_guide.md

  • Tool Scripts: scripts/ directory