senior-fullstack

# 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: ```bash # 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:** ```bash 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:** ```bash 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:** ```bash 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 ```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_scaffolder.py . # Review recommendations # Apply fixes ``` ### 3. Implement Best Practices Follow the patterns and practices documented in: - `references/tech_stack_guide.md` - `references/architecture_patterns.md` - `references/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 ```bash # 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