senior-fullstack
Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows.
When & Why to Use This Skill
This Claude skill is a comprehensive toolkit for senior full-stack developers, designed to accelerate the creation of robust web applications using modern technologies like React, Next.js, Node.js, GraphQL, and PostgreSQL. It streamlines the entire development lifecycle—from automated project scaffolding and architectural planning to deep code quality analysis and production-ready deployment workflows. By integrating industry best practices and expert-level patterns, it ensures high-performance, scalable, and maintainable software architecture.
Use Cases
- Rapid Project Scaffolding: Quickly initialize full-stack projects with pre-configured templates for React, Next.js, and PostgreSQL, ensuring a consistent and professional starting point.
- Code Quality & Performance Auditing: Use automated scripts to analyze existing codebases for technical debt, performance bottlenecks, and adherence to senior-level coding standards.
- Architectural Pattern Implementation: Guide the implementation of complex design patterns and GraphQL schemas to ensure system scalability and maintainability.
- DevOps & Deployment Setup: Streamline the creation of Docker configurations, CI/CD pipelines, and cloud infrastructure setups for AWS, GCP, or Azure.
| name | senior-fullstack |
|---|---|
| description | Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows. |
Senior Fullstack
Complete toolkit for senior fullstack with modern tools and best practices.
Quick Start
Main Capabilities
This skill provides three core capabilities through automated scripts:
# Script 1: Fullstack Scaffolder
python scripts/fullstack_scaffolder.py [options]
# Script 2: Project Scaffolder
python scripts/project_scaffolder.py [options]
# Script 3: Code Quality Analyzer
python scripts/code_quality_analyzer.py [options]
Core Capabilities
1. Fullstack Scaffolder
Automated tool for fullstack scaffolder tasks.
Features:
- Automated scaffolding
- Best practices built-in
- Configurable templates
- Quality checks
Usage:
python scripts/fullstack_scaffolder.py <project-path> [options]
2. Project Scaffolder
Comprehensive analysis and optimization tool.
Features:
- Deep analysis
- Performance metrics
- Recommendations
- Automated fixes
Usage:
python scripts/project_scaffolder.py <target-path> [--verbose]
3. Code Quality Analyzer
Advanced tooling for specialized tasks.
Features:
- Expert-level automation
- Custom configurations
- Integration ready
- Production-grade output
Usage:
python scripts/code_quality_analyzer.py [arguments] [options]
Reference Documentation
Tech Stack Guide
Comprehensive guide available in references/tech_stack_guide.md:
- Detailed patterns and practices
- Code examples
- Best practices
- Anti-patterns to avoid
- Real-world scenarios
Architecture Patterns
Complete workflow documentation in references/architecture_patterns.md:
- Step-by-step processes
- Optimization strategies
- Tool integrations
- Performance tuning
- Troubleshooting guide
Development Workflows
Technical reference guide in references/development_workflows.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_scaffolder.py .
# Review recommendations
# Apply fixes
3. Implement Best Practices
Follow the patterns and practices documented in:
references/tech_stack_guide.mdreferences/architecture_patterns.mdreferences/development_workflows.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_scaffolder.py .
python scripts/code_quality_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/development_workflows.md.
Getting Help
- Review reference documentation
- Check script output messages
- Consult tech stack documentation
- Review error logs
Resources
- Pattern Reference:
references/tech_stack_guide.md - Workflow Guide:
references/architecture_patterns.md - Technical Guide:
references/development_workflows.md - Tool Scripts:
scripts/directory