senior-architect

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

Gap Analysis Rule

Always identify gaps and suggest next steps to users. In case there is no gaps anymore, then AI should clearly state that there is no gap left.