Senior Fullstack

Fullstack development skill with project scaffolding and code quality analysis tools.

Table of Contents

• Trigger Phrases

• Tools

• Workflows

• Reference Guides

Trigger Phrases

Use this skill when you hear:

• "scaffold a new project"

• "create a Next.js app"

• "set up FastAPI with React"

• "analyze code quality"

• "check for security issues in codebase"

• "what stack should I use"

• "set up a fullstack project"

• "generate project boilerplate"

Tools

Project Scaffolder

Generates fullstack project structures with boilerplate code.

Supported Templates:

• nextjs

• Next.js 14+ with App Router, TypeScript, Tailwind CSS

• fastapi-react

• FastAPI backend + React frontend + PostgreSQL

• mern

• MongoDB, Express, React, Node.js with TypeScript

• django-react

• Django REST Framework + React frontend

Usage:

List available templates

python scripts/project_scaffolder.py --list-templates

Create Next.js project

python scripts/project_scaffolder.py nextjs my-app

Create FastAPI + React project

python scripts/project_scaffolder.py fastapi-react my-api

Create MERN stack project

python scripts/project_scaffolder.py mern my-project

Create Django + React project

python scripts/project_scaffolder.py django-react my-app

Specify output directory

python scripts/project_scaffolder.py nextjs my-app --output ./projects

JSON output

python scripts/project_scaffolder.py nextjs my-app --json

Parameters:

Parameter Description

template

Template name (nextjs, fastapi-react, mern, django-react)

project_name

Name for the new project directory

--output, -o

Output directory (default: current directory)

--list-templates, -l

List all available templates

--json

Output in JSON format

Output includes:

• Project structure with all necessary files

• Package configurations (package.json, requirements.txt)

• TypeScript configuration

• Docker and docker-compose setup

• Environment file templates

• Next steps for running the project

Code Quality Analyzer

Analyzes fullstack codebases for quality issues.

Analysis Categories:

• Security vulnerabilities (hardcoded secrets, injection risks)

• Code complexity metrics (cyclomatic complexity, nesting depth)

• Dependency health (outdated packages, known CVEs)

• Test coverage estimation

• Documentation quality

Usage:

Analyze current directory

python scripts/code_quality_analyzer.py .

Analyze specific project

python scripts/code_quality_analyzer.py /path/to/project

Verbose output with detailed findings

python scripts/code_quality_analyzer.py . --verbose

JSON output

python scripts/code_quality_analyzer.py . --json

Save report to file

python scripts/code_quality_analyzer.py . --output report.json

Parameters:

Parameter Description

project_path

Path to project directory (default: current directory)

--verbose, -v

Show detailed findings

--json

Output in JSON format

--output, -o

Write report to file

Output includes:

• Overall score (0-100) with letter grade

• Security issues by severity (critical, high, medium, low)

• High complexity files

• Vulnerable dependencies with CVE references

• Test coverage estimate

• Documentation completeness

• Prioritized recommendations

Sample Output:

============================================================ CODE QUALITY ANALYSIS REPORT

Overall Score: 75/100 (Grade: C) Files Analyzed: 45 Total Lines: 12,500

--- SECURITY --- Critical: 1 High: 2 Medium: 5

--- COMPLEXITY --- Average Complexity: 8.5 High Complexity Files: 3

--- RECOMMENDATIONS ---

1. [P0] SECURITY Issue: Potential hardcoded secret detected Action: Remove or secure sensitive data at line 42

Workflows

Workflow 1: Start New Project

• Choose appropriate stack based on requirements

• Scaffold project structure

• Run initial quality check

• Set up development environment

1. Scaffold project

python scripts/project_scaffolder.py nextjs my-saas-app

2. Navigate and install

cd my-saas-app npm install

3. Configure environment

cp .env.example .env.local

4. Run quality check

python ../scripts/code_quality_analyzer.py .

5. Start development

npm run dev

Workflow 2: Audit Existing Codebase

• Run code quality analysis

• Review security findings

• Address critical issues first

• Plan improvements

1. Full analysis

python scripts/code_quality_analyzer.py /path/to/project --verbose

2. Generate detailed report

python scripts/code_quality_analyzer.py /path/to/project --json --output audit.json

3. Address P0 issues immediately

4. Create tickets for P1/P2 issues

Workflow 3: Stack Selection

Use the tech stack guide to evaluate options:

• SEO Required? → Next.js with SSR

• API-heavy backend? → Separate FastAPI or NestJS

• Real-time features? → Add WebSocket layer

• Team expertise → Match stack to team skills

See references/tech_stack_guide.md for detailed comparison.

Reference Guides

Architecture Patterns (references/architecture_patterns.md )

• Frontend component architecture (Atomic Design, Container/Presentational)

• Backend patterns (Clean Architecture, Repository Pattern)

• API design (REST conventions, GraphQL schema design)

• Database patterns (connection pooling, transactions, read replicas)

• Caching strategies (cache-aside, HTTP cache headers)

• Authentication architecture (JWT + refresh tokens, sessions)

Development Workflows (references/development_workflows.md )

• Local development setup (Docker Compose, environment config)

• Git workflows (trunk-based, conventional commits)

• CI/CD pipelines (GitHub Actions examples)

• Testing strategies (unit, integration, E2E)

• Code review process (PR templates, checklists)

• Deployment strategies (blue-green, canary, feature flags)

• Monitoring and observability (logging, metrics, health checks)

Tech Stack Guide (references/tech_stack_guide.md )

• Frontend frameworks comparison (Next.js, React+Vite, Vue)

• Backend frameworks (Express, Fastify, NestJS, FastAPI, Django)

• Database selection (PostgreSQL, MongoDB, Redis)

• ORMs (Prisma, Drizzle, SQLAlchemy)

• Authentication solutions (Auth.js, Clerk, custom JWT)

• Deployment platforms (Vercel, Railway, AWS)

• Stack recommendations by use case (MVP, SaaS, Enterprise)

Quick Reference

Stack Decision Matrix

Requirement Recommendation

SEO-critical site Next.js with SSR

Internal dashboard React + Vite

API-first backend FastAPI or Fastify

Enterprise scale NestJS + PostgreSQL

Rapid prototype Next.js API routes

Document-heavy data MongoDB

Complex queries PostgreSQL

Common Issues

Issue Solution

N+1 queries Use DataLoader or eager loading

Slow builds Check bundle size, lazy load

Auth complexity Use Auth.js or Clerk

Type errors Enable strict mode in tsconfig

CORS issues Configure middleware properly