senior-fullstack

SKILL.md

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:**
```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:

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

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

Use this skill only when the task clearly matches the scope described above.

Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.