senior-architect

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Senior Architect

资深架构师

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

面向资深架构师的完整工具集，涵盖现代工具与最佳实践。

Quick Start

快速开始

Main Capabilities

核心功能

This skill provides three core capabilities through automated scripts:

bash

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本技能通过自动化脚本提供三项核心能力：

bash

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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]

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python scripts/dependency_analyzer.py [options]

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Core Capabilities

核心能力

1. Architecture Diagram Generator

1. 架构图生成器

Automated tool for architecture diagram generator tasks.

Features:

Automated scaffolding
Best practices built-in
Configurable templates
Quality checks

Usage:

bash

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

用于架构图生成任务的自动化工具。

功能特性：

自动化脚手架
内置最佳实践
可配置模板
质量检查

使用方法：

bash

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

2. Project Architect

2. 项目架构分析工具

Comprehensive analysis and optimization tool.

Features:

Deep analysis
Performance metrics
Recommendations
Automated fixes

Usage:

bash

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

全面的分析与优化工具。

功能特性：

深度分析
性能指标
优化建议
自动化修复

使用方法：

bash

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

3. Dependency Analyzer

3. 依赖分析工具

Advanced tooling for specialized tasks.

Features:

Expert-level automation
Custom configurations
Integration ready
Production-grade output

Usage:

bash

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

用于专项任务的高级工具。

功能特性：

专家级自动化
自定义配置
可集成性
生产级输出

使用方法：

bash

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

Reference Documentation

参考文档

Architecture Patterns

架构模式

Comprehensive guide available in

references/architecture_patterns.md

Detailed patterns and practices
Code examples
Best practices
Anti-patterns to avoid
Real-world scenarios

完整指南位于

references/architecture_patterns.md

：

详细的模式与实践
代码示例
最佳实践
需避免的反模式
真实场景案例

System Design Workflows

系统设计工作流

Complete workflow documentation in

references/system_design_workflows.md

Step-by-step processes
Optimization strategies
Tool integrations
Performance tuning
Troubleshooting guide

完整的工作流文档位于

references/system_design_workflows.md

：

分步流程
优化策略
工具集成
性能调优
故障排除指南

Tech Decision Guide

技术决策指南

Technical reference guide in

references/tech_decision_guide.md

Technology stack details
Configuration examples
Integration patterns
Security considerations
Scalability guidelines

技术参考指南位于

references/tech_decision_guide.md

：

技术栈详情
配置示例
集成模式
安全考量
可扩展性准则

Tech Stack

技术栈

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

编程语言： TypeScript、JavaScript、Python、Go、Swift、Kotlin 前端： React、Next.js、React Native、Flutter 后端： Node.js、Express、GraphQL、REST APIs 数据库： PostgreSQL、Prisma、NeonDB、Supabase DevOps： Docker、Kubernetes、Terraform、GitHub Actions、CircleCI 云服务： AWS、GCP、Azure

Development Workflow

开发工作流

1. Setup and Configuration

1. 安装与配置

bash

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bash

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Install dependencies

安装依赖

npm install

or

或

pip install -r requirements.txt

Configure environment

配置环境变量

cp .env.example .env

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cp .env.example .env

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2. Run Quality Checks

2. 运行质量检查

bash

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bash

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Use the analyzer script

使用分析脚本

python scripts/project_architect.py .

Review recommendations

查看优化建议

Apply fixes

应用修复方案

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3. Implement Best Practices

3. 遵循最佳实践

Follow the patterns and practices documented in:

```
references/architecture_patterns.md
```
```
references/system_design_workflows.md
```
```
references/tech_decision_guide.md
```

遵循以下文档中的模式与实践：

```
references/architecture_patterns.md
```
```
references/system_design_workflows.md
```
```
references/tech_decision_guide.md
```

Best Practices Summary

最佳实践总结

Code Quality

代码质量

Follow established patterns
Write comprehensive tests
Document decisions
Review regularly

遵循既定模式
编写全面测试
记录决策过程
定期代码评审

Performance

性能优化

Measure before optimizing
Use appropriate caching
Optimize critical paths
Monitor in production

先测量再优化
使用合适的缓存策略
优化关键路径
生产环境监控

Security

安全防护

Validate all inputs
Use parameterized queries
Implement proper authentication
Keep dependencies updated

验证所有输入
使用参数化查询
实现正确的认证机制
保持依赖更新

Maintainability

可维护性

Write clear code
Use consistent naming
Add helpful comments
Keep it simple

编写清晰的代码
使用一致的命名规范
添加有帮助的注释
保持简洁

Common Commands

常用命令

bash

undefined

bash

undefined

Development

开发

npm run dev npm run build npm run test npm run lint

Analysis

分析

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

Deployment

部署

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

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

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Troubleshooting

故障排除

Common Issues

常见问题

Check the comprehensive troubleshooting section in

references/tech_decision_guide.md

查看

references/tech_decision_guide.md

中的完整故障排除章节。

Getting Help

获取帮助

Review reference documentation
Check script output messages
Consult tech stack documentation
Review error logs

查阅参考文档
查看脚本输出信息
参考技术栈官方文档
检查错误日志

Resources

资源

Pattern Reference:
```
references/architecture_patterns.md
```
Workflow Guide:
```
references/system_design_workflows.md
```
Technical Guide:
```
references/tech_decision_guide.md
```
Tool Scripts:
```
scripts/
```
directory

模式参考：
```
references/architecture_patterns.md
```
工作流指南：
```
references/system_design_workflows.md
```
技术指南：
```
references/tech_decision_guide.md
```
工具脚本：
```
scripts/
```
目录