senior-fullstack by davila7/claude-code-templates
npx skills add https://github.com/davila7/claude-code-templates --skill senior-fullstack为高级全栈开发者提供的完整工具包,包含现代工具和最佳实践。
此技能通过自动化脚本提供三项核心功能:
# 脚本 1:全栈脚手架生成器
python scripts/fullstack_scaffolder.py [options]
# 脚本 2:项目脚手架生成器
python scripts/project_scaffolder.py [options]
# 脚本 3:代码质量分析器
python scripts/code_quality_analyzer.py [options]
用于全栈脚手架任务的自动化工具。
功能:
用法:
python scripts/fullstack_scaffolder.py <project-path> [options]
全面的分析和优化工具。
功能:
用法:
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python scripts/project_scaffolder.py <target-path> [--verbose]
用于专项任务的高级工具。
功能:
用法:
python scripts/code_quality_analyzer.py [arguments] [options]
完整指南位于 references/tech_stack_guide.md:
完整的工作流文档位于 references/architecture_patterns.md:
技术参考指南位于 references/development_workflows.md:
编程语言: TypeScript, JavaScript, Python, Go, Swift, Kotlin 前端: React, Next.js, React Native, Flutter 后端: Node.js, Express, GraphQL, REST APIs 数据库: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI 云平台: AWS, GCP, Azure
# 安装依赖
npm install
# 或
pip install -r requirements.txt
# 配置环境
cp .env.example .env
# 使用分析器脚本
python scripts/project_scaffolder.py .
# 查看建议
# 应用修复
遵循以下文档中记录的模式和实践:
references/tech_stack_guide.mdreferences/architecture_patterns.mdreferences/development_workflows.md# 开发
npm run dev
npm run build
npm run test
npm run lint
# 分析
python scripts/project_scaffolder.py .
python scripts/code_quality_analyzer.py --analyze
# 部署
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/
请查阅 references/development_workflows.md 中的完整故障排除部分。
references/tech_stack_guide.mdreferences/architecture_patterns.mdreferences/development_workflows.mdscripts/ 目录每周安装量
502
代码仓库
GitHub 星标
22.6K
首次出现
2026年1月20日
安全审计
安装于
gemini-cli391
opencode391
codex377
github-copilot347
claude-code334
cursor322
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/ directoryWeekly Installs
502
Repository
GitHub Stars
22.6K
First Seen
Jan 20, 2026
Security Audits
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Installed on
gemini-cli391
opencode391
codex377
github-copilot347
claude-code334
cursor322
agent-browser 浏览器自动化工具 - Vercel Labs 命令行网页操作与测试
138,300 周安装