davila7--claude-code-templates
wehub-resource-sync
1 行
4.6 KiB
JSON
1 行
4.6 KiB
JSON
{"content": "---\nname: senior-fullstack\ndescription: 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.\n---\n\n# Senior Fullstack\n\nComplete toolkit for senior fullstack with modern tools and best practices.\n\n## Quick Start\n\n### Main Capabilities\n\nThis skill provides three core capabilities through automated scripts:\n\n```bash\n# Script 1: Fullstack Scaffolder\npython scripts/fullstack_scaffolder.py [options]\n\n# Script 2: Project Scaffolder\npython scripts/project_scaffolder.py [options]\n\n# Script 3: Code Quality Analyzer\npython scripts/code_quality_analyzer.py [options]\n```\n\n## Core Capabilities\n\n### 1. Fullstack Scaffolder\n\nAutomated tool for fullstack scaffolder tasks.\n\n**Features:**\n- Automated scaffolding\n- Best practices built-in\n- Configurable templates\n- Quality checks\n\n**Usage:**\n```bash\npython scripts/fullstack_scaffolder.py <project-path> [options]\n```\n\n### 2. Project Scaffolder\n\nComprehensive analysis and optimization tool.\n\n**Features:**\n- Deep analysis\n- Performance metrics\n- Recommendations\n- Automated fixes\n\n**Usage:**\n```bash\npython scripts/project_scaffolder.py <target-path> [--verbose]\n```\n\n### 3. Code Quality Analyzer\n\nAdvanced tooling for specialized tasks.\n\n**Features:**\n- Expert-level automation\n- Custom configurations\n- Integration ready\n- Production-grade output\n\n**Usage:**\n```bash\npython scripts/code_quality_analyzer.py [arguments] [options]\n```\n\n## Reference Documentation\n\n### Tech Stack Guide\n\nComprehensive guide available in `references/tech_stack_guide.md`:\n\n- Detailed patterns and practices\n- Code examples\n- Best practices\n- Anti-patterns to avoid\n- Real-world scenarios\n\n### Architecture Patterns\n\nComplete workflow documentation in `references/architecture_patterns.md`:\n\n- Step-by-step processes\n- Optimization strategies\n- Tool integrations\n- Performance tuning\n- Troubleshooting guide\n\n### Development Workflows\n\nTechnical reference guide in `references/development_workflows.md`:\n\n- Technology stack details\n- Configuration examples\n- Integration patterns\n- Security considerations\n- Scalability guidelines\n\n## Tech Stack\n\n**Languages:** TypeScript, JavaScript, Python, Go, Swift, Kotlin\n**Frontend:** React, Next.js, React Native, Flutter\n**Backend:** Node.js, Express, GraphQL, REST APIs\n**Database:** PostgreSQL, Prisma, NeonDB, Supabase\n**DevOps:** Docker, Kubernetes, Terraform, GitHub Actions, CircleCI\n**Cloud:** AWS, GCP, Azure\n\n## Development Workflow\n\n### 1. Setup and Configuration\n\n```bash\n# Install dependencies\nnpm install\n# or\npip install -r requirements.txt\n\n# Configure environment\ncp .env.example .env\n```\n\n### 2. Run Quality Checks\n\n```bash\n# Use the analyzer script\npython scripts/project_scaffolder.py .\n\n# Review recommendations\n# Apply fixes\n```\n\n### 3. Implement Best Practices\n\nFollow the patterns and practices documented in:\n- `references/tech_stack_guide.md`\n- `references/architecture_patterns.md`\n- `references/development_workflows.md`\n\n## Best Practices Summary\n\n### Code Quality\n- Follow established patterns\n- Write comprehensive tests\n- Document decisions\n- Review regularly\n\n### Performance\n- Measure before optimizing\n- Use appropriate caching\n- Optimize critical paths\n- Monitor in production\n\n### Security\n- Validate all inputs\n- Use parameterized queries\n- Implement proper authentication\n- Keep dependencies updated\n\n### Maintainability\n- Write clear code\n- Use consistent naming\n- Add helpful comments\n- Keep it simple\n\n## Common Commands\n\n```bash\n# Development\nnpm run dev\nnpm run build\nnpm run test\nnpm run lint\n\n# Analysis\npython scripts/project_scaffolder.py .\npython scripts/code_quality_analyzer.py --analyze\n\n# Deployment\ndocker build -t app:latest .\ndocker-compose up -d\nkubectl apply -f k8s/\n```\n\n## Troubleshooting\n\n### Common Issues\n\nCheck the comprehensive troubleshooting section in `references/development_workflows.md`.\n\n### Getting Help\n\n- Review reference documentation\n- Check script output messages\n- Consult tech stack documentation\n- Review error logs\n\n## Resources\n\n- Pattern Reference: `references/tech_stack_guide.md`\n- Workflow Guide: `references/architecture_patterns.md`\n- Technical Guide: `references/development_workflows.md`\n- Tool Scripts: `scripts/` directory\n"} |