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senior-fullstack

全面的全栈开发技能，涵盖使用React、Next.js、Node.js、GraphQL和PostgreSQL构建完整Web应用。包含项目脚手架搭建、代码质量分析、架构模式设计及完整技术栈指导。适用于新项目构建、代码质量评估、设计模式实施或开发工作流配置等场景。

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name:senior-fullstackdescription: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:

# 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 .env

    2. Run Quality Checks

    # 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

    # 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