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senior-fullstack

sickn33/antigravity-awesome-skills

Complete toolkit for senior fullstack development with modern tools, scaffolding, and code quality automation.

What is senior-fullstack?

A comprehensive skill providing automated scaffolding, project analysis, and code quality checking for fullstack development. Use this when you need to set up new fullstack projects, analyze code quality, or implement best practices across TypeScript, JavaScript, Python, React, Node.js, and cloud infrastructure.

  • Automated fullstack project scaffolding with configurable templates and built-in best practices
  • Deep code analysis with performance metrics and automated recommendations
  • Project quality assessment across code, architecture, and development workflows
  • Support for multiple tech stacks including React, Next.js, Node.js, PostgreSQL, Docker, and Kubernetes
  • Reference documentation covering tech stack patterns, architecture design, and development workflows
  • Command-line scripts for scaffolding, analysis, and quality checks

How to install senior-fullstack

npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill senior-fullstack
Prerequisites
  • Python 3.x installed for running analysis scripts
  • Node.js and npm for JavaScript/TypeScript projects
  • Docker for containerization workflows (optional but recommended)
  • Environment variables configured via .env file
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How to use senior-fullstack

  1. 1.Install the skill using: npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill senior-fullstack
  2. 2.Run npm install or pip install -r requirements.txt to set up dependencies
  3. 3.Copy .env.example to .env and configure for your environment
  4. 4.Execute python scripts/fullstack_scaffolder.py <project-path> to scaffold new projects
  5. 5.Run python scripts/project_scaffolder.py . to analyze your codebase and get recommendations
  6. 6.Review reference documentation in references/ directory for patterns and best practices
  7. 7.Apply recommendations and follow the documented development workflows

Use cases

Good for
  • Quickly bootstrap new fullstack projects with production-ready structure and configurations
  • Analyze existing codebases to identify quality issues and receive optimization recommendations
  • Implement consistent best practices across frontend, backend, database, and DevOps layers
  • Set up development workflows with proper testing, linting, and deployment pipelines
  • Evaluate and improve performance, security, and maintainability of fullstack applications
Who it's for
  • Senior fullstack engineers building or optimizing production applications
  • Teams establishing consistent development standards and practices
  • Developers working with TypeScript, React, Node.js, and cloud infrastructure
  • Projects requiring comprehensive code quality and architectural analysis

senior-fullstack FAQ

What languages and frameworks does this skill support?

Supports TypeScript, JavaScript, Python, Go, Swift, and Kotlin. Frontend: React, Next.js, React Native, Flutter. Backend: Node.js, Express, GraphQL, REST APIs. Databases: PostgreSQL, Prisma, NeonDB, Supabase. DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI.

Can I use this for existing projects or only new ones?

Both. Use fullstack_scaffolder.py for new projects and project_scaffolder.py to analyze and optimize existing codebases with recommendations.

What does the code quality analyzer check?

It performs deep analysis including performance metrics, code quality assessment, architectural patterns, security considerations, and scalability guidelines, then provides automated recommendations.

Are the scripts safe to run on production code?

The analyzer scripts are read-only and safe. However, review all recommendations and test thoroughly before applying automated fixes in production environments.

Where can I find detailed documentation?

Reference documentation is in the references/ directory: tech_stack_guide.md for patterns, architecture_patterns.md for workflows, and development_workflows.md for technical details.

Full instructions (SKILL.md)

Source of truth, from sickn33/antigravity-awesome-skills.


name: senior-fullstack description: "Complete toolkit for senior fullstack with modern tools and best practices." risk: critical source: community date_added: "2026-02-27"

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

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.