Senior Fullstack
- 1.8k installs
- 44k repo stars
- Updated July 27, 2026
- sickn33/antigravity-awesome-skills
senior-fullstack is an agent skill that Complete toolkit for senior fullstack with modern tools and best practices.
About
The senior-fullstack skill. Complete toolkit for senior fullstack with modern tools and best practices. Fullstack Scaffolder Automated tool for fullstack scaffolder tasks. **Features:** - Automated scaffolding - Best practices built-in - Configurable templates - Quality checks **Usage:** ### 2. Project Scaffolder Comprehensive analysis and optimization tool. **Features:** - Deep analysis - Performance metrics - Recommendations - Automated fixes **Usage:** ### 3. Code Quality Analyzer Advanced tooling for specialized tasks. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. The workflow follows the source SKILL.md contract with progressive reference loading, clear trigger phrases, and practical steps developers can apply directly in agent sessions. The workflow follows the source SKILL.md contract with progressive reference loading, clear trigger phrases, and practical steps developers can apply directly in agent sessions. The workflow follows the source SKILL.md contract with progressive reference loading, clear trigger phrases, and practical steps developers can apply directly in agent sessions.
- Automated scaffolding
- Best practices built-in
- Configurable templates
- Expert-level automation
- Custom configurations
Senior Fullstack by the numbers
- 1,816 all-time installs (skills.sh)
- +25 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Ranked #256 of 4,386 Backend & APIs skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
senior-fullstack capabilities & compatibility
- Capabilities
- automated scaffolding · best practices built in · configurable templates · expert level automation · custom configurations
- Use cases
- testing · debugging · ci cd
What senior-fullstack says it does
Fullstack Scaffolder Automated tool for fullstack scaffolder tasks.
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill senior-fullstackAdd your badge
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| Installs | 1.8k |
|---|---|
| repo stars | ★ 44k |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 27, 2026 |
| Repository | sickn33/antigravity-awesome-skills ↗ |
How do I apply senior-fullstack correctly using the SKILL.md workflows and reference files?
Complete toolkit for senior fullstack with modern tools and best practices.
Who is it for?
Developers and software engineers working with senior-fullstack patterns from the skill documentation.
Skip if: Skip when cached docs are empty, boilerplate-only, or outside the skill documented scope.
When should I use this skill?
Complete toolkit for senior fullstack with modern tools and best practices.
What you get
Grounded senior-fullstack guidance with highlights, triggers, and evidence quotes from SKILL.md.
- architecture pattern reference
- TypeScript implementation examples
Files
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 .env2. Run Quality Checks
# Use the analyzer script
python scripts/project_scaffolder.py .
# Review recommendations
# Apply fixes3. Implement Best Practices
Follow the patterns and practices documented in:
references/tech_stack_guide.mdreferences/architecture_patterns.mdreferences/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.
Architecture Patterns
Overview
This reference guide provides comprehensive information for senior fullstack.
Patterns and Practices
Pattern 1: Best Practice Implementation
Description: Detailed explanation of the pattern.
When to Use:
- Scenario 1
- Scenario 2
- Scenario 3
Implementation:
// Example code implementation
export class Example {
// Implementation details
}Benefits:
- Benefit 1
- Benefit 2
- Benefit 3
Trade-offs:
- Consider 1
- Consider 2
- Consider 3
Pattern 2: Advanced Technique
Description: Another important pattern for senior fullstack.
Implementation:
// Advanced example
async function advancedExample() {
// Code here
}Guidelines
Code Organization
- Clear structure
- Logical separation
- Consistent naming
- Proper documentation
Performance Considerations
- Optimization strategies
- Bottleneck identification
- Monitoring approaches
- Scaling techniques
Security Best Practices
- Input validation
- Authentication
- Authorization
- Data protection
Common Patterns
Pattern A
Implementation details and examples.
Pattern B
Implementation details and examples.
Pattern C
Implementation details and examples.
Anti-Patterns to Avoid
Anti-Pattern 1
What not to do and why.
Anti-Pattern 2
What not to do and why.
Tools and Resources
Recommended Tools
- Tool 1: Purpose
- Tool 2: Purpose
- Tool 3: Purpose
Further Reading
- Resource 1
- Resource 2
- Resource 3
Conclusion
Key takeaways for using this reference guide effectively.
Development Workflows
Overview
This reference guide provides comprehensive information for senior fullstack.
Patterns and Practices
Pattern 1: Best Practice Implementation
Description: Detailed explanation of the pattern.
When to Use:
- Scenario 1
- Scenario 2
- Scenario 3
Implementation:
// Example code implementation
export class Example {
// Implementation details
}Benefits:
- Benefit 1
- Benefit 2
- Benefit 3
Trade-offs:
- Consider 1
- Consider 2
- Consider 3
Pattern 2: Advanced Technique
Description: Another important pattern for senior fullstack.
Implementation:
// Advanced example
async function advancedExample() {
// Code here
}Guidelines
Code Organization
- Clear structure
- Logical separation
- Consistent naming
- Proper documentation
Performance Considerations
- Optimization strategies
- Bottleneck identification
- Monitoring approaches
- Scaling techniques
Security Best Practices
- Input validation
- Authentication
- Authorization
- Data protection
Common Patterns
Pattern A
Implementation details and examples.
Pattern B
Implementation details and examples.
Pattern C
Implementation details and examples.
Anti-Patterns to Avoid
Anti-Pattern 1
What not to do and why.
Anti-Pattern 2
What not to do and why.
Tools and Resources
Recommended Tools
- Tool 1: Purpose
- Tool 2: Purpose
- Tool 3: Purpose
Further Reading
- Resource 1
- Resource 2
- Resource 3
Conclusion
Key takeaways for using this reference guide effectively.
Tech Stack Guide
Overview
This reference guide provides comprehensive information for senior fullstack.
Patterns and Practices
Pattern 1: Best Practice Implementation
Description: Detailed explanation of the pattern.
When to Use:
- Scenario 1
- Scenario 2
- Scenario 3
Implementation:
// Example code implementation
export class Example {
// Implementation details
}Benefits:
- Benefit 1
- Benefit 2
- Benefit 3
Trade-offs:
- Consider 1
- Consider 2
- Consider 3
Pattern 2: Advanced Technique
Description: Another important pattern for senior fullstack.
Implementation:
// Advanced example
async function advancedExample() {
// Code here
}Guidelines
Code Organization
- Clear structure
- Logical separation
- Consistent naming
- Proper documentation
Performance Considerations
- Optimization strategies
- Bottleneck identification
- Monitoring approaches
- Scaling techniques
Security Best Practices
- Input validation
- Authentication
- Authorization
- Data protection
Common Patterns
Pattern A
Implementation details and examples.
Pattern B
Implementation details and examples.
Pattern C
Implementation details and examples.
Anti-Patterns to Avoid
Anti-Pattern 1
What not to do and why.
Anti-Pattern 2
What not to do and why.
Tools and Resources
Recommended Tools
- Tool 1: Purpose
- Tool 2: Purpose
- Tool 3: Purpose
Further Reading
- Resource 1
- Resource 2
- Resource 3
Conclusion
Key takeaways for using this reference guide effectively.
#!/usr/bin/env python3
"""
Code Quality Analyzer
Automated tool for senior fullstack tasks
"""
import os
import sys
import json
import argparse
from pathlib import Path
from typing import Dict, List, Optional
class CodeQualityAnalyzer:
"""Main class for code quality analyzer functionality"""
def __init__(self, target_path: str, verbose: bool = False):
self.target_path = Path(target_path)
self.verbose = verbose
self.results = {}
def run(self) -> Dict:
"""Execute the main functionality"""
print(f"🚀 Running {self.__class__.__name__}...")
print(f"📁 Target: {self.target_path}")
try:
self.validate_target()
self.analyze()
self.generate_report()
print("✅ Completed successfully!")
return self.results
except Exception as e:
print(f"❌ Error: {e}")
sys.exit(1)
def validate_target(self):
"""Validate the target path exists and is accessible"""
if not self.target_path.exists():
raise ValueError(f"Target path does not exist: {self.target_path}")
if self.verbose:
print(f"✓ Target validated: {self.target_path}")
def analyze(self):
"""Perform the main analysis or operation"""
if self.verbose:
print("📊 Analyzing...")
# Main logic here
self.results['status'] = 'success'
self.results['target'] = str(self.target_path)
self.results['findings'] = []
# Add analysis results
if self.verbose:
print(f"✓ Analysis complete: {len(self.results.get('findings', []))} findings")
def generate_report(self):
"""Generate and display the report"""
print("\n" + "="*50)
print("REPORT")
print("="*50)
print(f"Target: {self.results.get('target')}")
print(f"Status: {self.results.get('status')}")
print(f"Findings: {len(self.results.get('findings', []))}")
print("="*50 + "\n")
def main():
"""Main entry point"""
parser = argparse.ArgumentParser(
description="Code Quality Analyzer"
)
parser.add_argument(
'target',
help='Target path to analyze or process'
)
parser.add_argument(
'--verbose', '-v',
action='store_true',
help='Enable verbose output'
)
parser.add_argument(
'--json',
action='store_true',
help='Output results as JSON'
)
parser.add_argument(
'--output', '-o',
help='Output file path'
)
args = parser.parse_args()
tool = CodeQualityAnalyzer(
args.target,
verbose=args.verbose
)
results = tool.run()
if args.json:
output = json.dumps(results, indent=2)
if args.output:
with open(args.output, 'w') as f:
f.write(output)
print(f"Results written to {args.output}")
else:
print(output)
if __name__ == '__main__':
main()
#!/usr/bin/env python3
"""
Fullstack Scaffolder
Automated tool for senior fullstack tasks
"""
import os
import sys
import json
import argparse
from pathlib import Path
from typing import Dict, List, Optional
class FullstackScaffolder:
"""Main class for fullstack scaffolder functionality"""
def __init__(self, target_path: str, verbose: bool = False):
self.target_path = Path(target_path)
self.verbose = verbose
self.results = {}
def run(self) -> Dict:
"""Execute the main functionality"""
print(f"🚀 Running {self.__class__.__name__}...")
print(f"📁 Target: {self.target_path}")
try:
self.validate_target()
self.analyze()
self.generate_report()
print("✅ Completed successfully!")
return self.results
except Exception as e:
print(f"❌ Error: {e}")
sys.exit(1)
def validate_target(self):
"""Validate the target path exists and is accessible"""
if not self.target_path.exists():
raise ValueError(f"Target path does not exist: {self.target_path}")
if self.verbose:
print(f"✓ Target validated: {self.target_path}")
def analyze(self):
"""Perform the main analysis or operation"""
if self.verbose:
print("📊 Analyzing...")
# Main logic here
self.results['status'] = 'success'
self.results['target'] = str(self.target_path)
self.results['findings'] = []
# Add analysis results
if self.verbose:
print(f"✓ Analysis complete: {len(self.results.get('findings', []))} findings")
def generate_report(self):
"""Generate and display the report"""
print("\n" + "="*50)
print("REPORT")
print("="*50)
print(f"Target: {self.results.get('target')}")
print(f"Status: {self.results.get('status')}")
print(f"Findings: {len(self.results.get('findings', []))}")
print("="*50 + "\n")
def main():
"""Main entry point"""
parser = argparse.ArgumentParser(
description="Fullstack Scaffolder"
)
parser.add_argument(
'target',
help='Target path to analyze or process'
)
parser.add_argument(
'--verbose', '-v',
action='store_true',
help='Enable verbose output'
)
parser.add_argument(
'--json',
action='store_true',
help='Output results as JSON'
)
parser.add_argument(
'--output', '-o',
help='Output file path'
)
args = parser.parse_args()
tool = FullstackScaffolder(
args.target,
verbose=args.verbose
)
results = tool.run()
if args.json:
output = json.dumps(results, indent=2)
if args.output:
with open(args.output, 'w') as f:
f.write(output)
print(f"Results written to {args.output}")
else:
print(output)
if __name__ == '__main__':
main()
#!/usr/bin/env python3
"""
Project Scaffolder
Automated tool for senior fullstack tasks
"""
import os
import sys
import json
import argparse
from pathlib import Path
from typing import Dict, List, Optional
class ProjectScaffolder:
"""Main class for project scaffolder functionality"""
def __init__(self, target_path: str, verbose: bool = False):
self.target_path = Path(target_path)
self.verbose = verbose
self.results = {}
def run(self) -> Dict:
"""Execute the main functionality"""
print(f"🚀 Running {self.__class__.__name__}...")
print(f"📁 Target: {self.target_path}")
try:
self.validate_target()
self.analyze()
self.generate_report()
print("✅ Completed successfully!")
return self.results
except Exception as e:
print(f"❌ Error: {e}")
sys.exit(1)
def validate_target(self):
"""Validate the target path exists and is accessible"""
if not self.target_path.exists():
raise ValueError(f"Target path does not exist: {self.target_path}")
if self.verbose:
print(f"✓ Target validated: {self.target_path}")
def analyze(self):
"""Perform the main analysis or operation"""
if self.verbose:
print("📊 Analyzing...")
# Main logic here
self.results['status'] = 'success'
self.results['target'] = str(self.target_path)
self.results['findings'] = []
# Add analysis results
if self.verbose:
print(f"✓ Analysis complete: {len(self.results.get('findings', []))} findings")
def generate_report(self):
"""Generate and display the report"""
print("\n" + "="*50)
print("REPORT")
print("="*50)
print(f"Target: {self.results.get('target')}")
print(f"Status: {self.results.get('status')}")
print(f"Findings: {len(self.results.get('findings', []))}")
print("="*50 + "\n")
def main():
"""Main entry point"""
parser = argparse.ArgumentParser(
description="Project Scaffolder"
)
parser.add_argument(
'target',
help='Target path to analyze or process'
)
parser.add_argument(
'--verbose', '-v',
action='store_true',
help='Enable verbose output'
)
parser.add_argument(
'--json',
action='store_true',
help='Output results as JSON'
)
parser.add_argument(
'--output', '-o',
help='Output file path'
)
args = parser.parse_args()
tool = ProjectScaffolder(
args.target,
verbose=args.verbose
)
results = tool.run()
if args.json:
output = json.dumps(results, indent=2)
if args.output:
with open(args.output, 'w') as f:
f.write(output)
print(f"Results written to {args.output}")
else:
print(output)
if __name__ == '__main__':
main()
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Pick senior-fullstack for architecture pattern reference rather than framework-specific setup skills like Next.js or NestJS bootstrapping.
FAQ
Who is senior-fullstack for?
Developers and software engineers working with senior-fullstack patterns from the skill documentation.
When should I use senior-fullstack?
Complete toolkit for senior fullstack with modern tools and best practices.
Is senior-fullstack safe to install?
Review the Security Audits panel on this page before installing in production.