senior-fullstack

Fullstack development toolkit with project scaffolding for Next.js/FastAPI/MERN/Django stacks and code quality analysis. Use when scaffolding new projects, analyzing codebase quality, or implementing fullstack architecture patterns.

7 stars

Best use case

senior-fullstack is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Fullstack development toolkit with project scaffolding for Next.js/FastAPI/MERN/Django stacks and code quality analysis. Use when scaffolding new projects, analyzing codebase quality, or implementing fullstack architecture patterns.

Teams using senior-fullstack should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/senior-fullstack/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/alirezarezvani/senior-fullstack/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/senior-fullstack/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How senior-fullstack Compares

Feature / Agentsenior-fullstackStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Fullstack development toolkit with project scaffolding for Next.js/FastAPI/MERN/Django stacks and code quality analysis. Use when scaffolding new projects, analyzing codebase quality, or implementing fullstack architecture patterns.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Senior Fullstack

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

---

## Table of Contents

- [Trigger Phrases](#trigger-phrases)
- [Tools](#tools)
- [Workflows](#workflows)
- [Reference Guides](#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:**

```bash
# 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:**

```bash
# 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

1. Choose appropriate stack based on requirements
2. Scaffold project structure
3. Run initial quality check
4. Set up development environment

```bash
# 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

1. Run code quality analysis
2. Review security findings
3. Address critical issues first
4. Plan improvements

```bash
# 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:

1. **SEO Required?** → Next.js with SSR
2. **API-heavy backend?** → Separate FastAPI or NestJS
3. **Real-time features?** → Add WebSocket layer
4. **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 |

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