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senior-architect skill

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This skill helps you design scalable, maintainable architectures across React, Node, Go, and databases by generating diagrams, analyzing dependencies, and

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SKILL.md
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---
name: senior-architect
description: 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:

```bash
# 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:**
```bash
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:**
```bash
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:**
```bash
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

```bash
# Install dependencies
npm install
# or
pip install -r requirements.txt

# Configure environment
cp .env.example .env
```

### 2. Run Quality Checks

```bash
# 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

```bash
# 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

Overview

This skill is a comprehensive software architecture toolkit for designing scalable, maintainable systems across web and mobile stacks. It combines automated diagram generation, system design patterns, dependency analysis, and decision frameworks for technologies like React, Next.js, Node, GraphQL, Postgres, Go, Python, Swift, Kotlin, and Flutter. Use it to formalize architecture, evaluate trade-offs, and produce actionable recommendations and artifacts.

How this skill works

The skill inspects project structure, dependencies, and runtime characteristics to generate architecture diagrams, highlight anti-patterns, and propose optimizations. It runs automated analyses to produce performance and maintainability recommendations, suggested fixes, and configurable templates for diagrams and design documents. Outputs include system diagrams, prioritized action items, and technology decision guidance tailored to the target codebase and requirements.

When to use it

  • Designing a new system or service and choosing an initial tech stack
  • Evaluating and refactoring an existing codebase for scalability or maintainability
  • Creating architecture diagrams and documentation for stakeholders
  • Comparing trade-offs between frameworks, databases, or integration patterns
  • Performing dependency and risk analysis before a major release or migration

Best practices

  • Start with requirements and constraints, then map them to patterns and trade-offs
  • Generate diagrams early and iterate them as decisions solidify
  • Measure before optimizing and prioritize fixes by impact and risk
  • Keep security, testing, and observability part of the architecture from day one
  • Document decisions and rationale alongside automated outputs

Example use cases

  • Produce a component and deployment diagram for a Next.js frontend with GraphQL and Postgres
  • Analyze dependencies and surface critical transitive vulnerabilities in a Node.js service
  • Recommend migration strategy and cost/complexity trade-offs for moving to Kubernetes
  • Create a mobile/backend integration pattern for React Native or Flutter with a GraphQL API
  • Deliver a prioritized checklist to improve performance and reduce operational risk

FAQ

Can this skill generate production-ready diagrams?

Yes—diagrams are produced from configurable templates and quality checks to be used in design reviews and documentation.

Does it support multiple languages and stacks?

Yes—support and guidance cover frontend, mobile, and backend technologies including React, Next.js, Node.js, GraphQL, Postgres, Go, Python, Swift, Kotlin, and Flutter.