home / skills / sickn33 / antigravity-awesome-skills / senior-fullstack

senior-fullstack skill

/skills/senior-fullstack

This skill helps you accelerate fullstack projects with automated scaffolding, code quality analysis, and best-practice patterns across React, Next.js,

This is most likely a fork of the senior-fullstack skill from questnova502
npx playbooks add skill sickn33/antigravity-awesome-skills --skill senior-fullstack

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
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

Overview

This skill is a comprehensive fullstack development toolkit for building and maintaining web applications using React, Next.js, Node.js, GraphQL, and PostgreSQL. It provides automated scaffolding, deep project analysis, and a production-grade code quality analyzer to speed development and enforce best practices. Use it to scaffold new projects, audit code quality, and apply architecture and workflow recommendations. The tooling is designed for senior engineers and teams aiming for maintainable, secure, and high-performance apps.

How this skill works

The skill exposes three main scripts: a fullstack scaffolder to generate project skeletons with built-in best practices, a project scaffolder for deep analysis and automated fixes, and a code quality analyzer for static checks and actionable recommendations. Each script inspects project structure, dependencies, configuration, and key files (frontend, backend, and infrastructure). Results include prioritized recommendations, suggested fixes, and optional automated patching for common issues.

When to use it

  • Starting a new fullstack project and needing a production-ready scaffold
  • Performing a code quality audit before release or architecture review
  • Optimizing performance and configuration across frontend, backend, and DB
  • Implementing or validating security practices and parameterized queries
  • Setting up CI/CD, containerization, or infrastructure patterns for a team

Best practices

  • Scaffold projects with the provided templates to enforce consistent patterns
  • Run the project scaffolder and analyzer early and frequently during development
  • Write tests and document architectural decisions alongside generated code
  • Prefer parameterized queries and validate all external inputs
  • Measure performance before changing critical paths and add caching where necessary
  • Keep dependencies and deployment manifests (Docker/K8s) up to date

Example use cases

  • Generate a Next.js + Node + PostgreSQL starter with authentication, GraphQL, and CI config
  • Audit an existing repository to surface security, performance, and maintainability issues
  • Apply automated fixes for common linting, formatting, and dependency problems
  • Create a tailored architecture recommendation for scaling a web service and migration plan
  • Bootstrap a team repo with consistent tooling: tests, linting, Docker, and CI pipelines

FAQ

Which languages and frameworks does this support?

Primary focus is React, Next.js, Node.js, GraphQL, and PostgreSQL, but templates and guidance cover TypeScript, JavaScript, Python, and common DevOps tools.

Can the scripts automatically fix issues?

Yes. The project scaffolder and analyzer offer automated fixes for many common problems and provide clear recommendations for manual changes when needed.