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 qual...
BY SriSatyaLokeshUPDATED Oct 28, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.
instructions.md
---
name: senior-fullstack-9ba4f1633361
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
---
name: senior-fullstack-9ba4f1633361
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
COMPATIBILITY & REFERENCES
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.
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Database schema design patterns and optimization strategies for relational and NoSQL databases. Use when designing database schemas, optimizing query performance, or implementing data persistence layers at scale.
Activate when creating database migrations that enable or disable PostgreSQL extensions. Provides the DO block pattern for cross-environment compatibility between Nhost Cloud, CNPG (CloudNativePG), and other PostgreSQL environments.