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senior-fullstack
// Complete toolkit for senior fullstack with modern tools and best practices.
// Complete toolkit for senior fullstack with modern tools and best practices.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.
Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by [oven-sh/bun](https://github.com/oven-sh/bun).
Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
Guide developers through setting up development environments with proper tools, dependencies, and configurations
| name | senior-fullstack |
| description | Complete toolkit for senior fullstack with modern tools and best practices. |
| risk | critical |
| source | community |
| date_added | 2026-02-27 |
Complete toolkit for senior fullstack with modern tools and best practices.
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]
Automated tool for fullstack scaffolder tasks.
Features:
Usage:
python scripts/fullstack_scaffolder.py <project-path> [options]
Comprehensive analysis and optimization tool.
Features:
Usage:
python scripts/project_scaffolder.py <target-path> [--verbose]
Advanced tooling for specialized tasks.
Features:
Usage:
python scripts/code_quality_analyzer.py [arguments] [options]
Comprehensive guide available in references/tech_stack_guide.md:
Complete workflow documentation in references/architecture_patterns.md:
Technical reference guide in references/development_workflows.md:
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
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Use the analyzer script
python scripts/project_scaffolder.py .
# Review recommendations
# Apply fixes
Follow the patterns and practices documented in:
references/tech_stack_guide.mdreferences/architecture_patterns.mdreferences/development_workflows.md# 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/
Check the comprehensive troubleshooting section in references/development_workflows.md.
references/tech_stack_guide.mdreferences/architecture_patterns.mdreferences/development_workflows.mdscripts/ directoryThis skill is applicable to execute the workflow or actions described in the overview.