home / skills / questnova502 / claude-skills-sync / senior-fullstack
This skill helps you scaffold fullstack projects, analyze code quality, and adopt architecture best practices for React, Node.js, and PostgreSQL projects.
npx playbooks add skill questnova502/claude-skills-sync --skill senior-fullstackReview the files below or copy the command above to add this skill to your agents.
---
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:
```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
This skill is a comprehensive senior-level fullstack toolkit for building and maintaining production web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. It combines automated scaffolding, deep project analysis, and a code quality analyzer to accelerate setup and enforce best practices. Use it to scaffold projects, audit codebases, and standardize architecture and workflows across teams.
The skill exposes three automated scripts: a Fullstack Scaffolder to generate opinionated project structure and templates, a Project Scaffolder for deep analysis, metrics, and automated optimizations, and a Code Quality Analyzer for static checks and configuration-driven rules. Each script inspects code, configuration, and environment files, then reports recommendations and can apply fixes where safe. Documentation and pattern guides accompany the tooling for architecture, workflows, and security.
Can the scaffolder be customized to our company templates?
Yes. Templates are configurable—replace or extend the provided templates and settings before scaffolding new projects.
Will the automated fixes change production code without review?
Automated fixes are applied where safe, but you should run them in a branch and review changes; integrate fixes into PR workflows for supervision.
What stacks are supported out of the box?
The tooling targets React, Next.js, Node.js/Express, GraphQL, PostgreSQL with Prisma, plus common DevOps tools like Docker and GitHub Actions; it’s extensible to other choices.