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.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

# 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

senior-fullstack

Documentation