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ai-super-team

v1.0.0

Published

AI-augmented development methodology for structured software engineering with Claude Code integration

Readme

🤖 AI-Super-Team

npm version npm downloads MIT License

Transform any codebase into a professional AI-powered development team

Stop coding alone. AI-Super-Team is a cross-platform NPM package that gives you 6 specialized AI assistants working together like a real development team, ensuring high-quality code through Test-Driven Development and automated workflows.

🎯 What Problem Does This Solve?

Before AI-Super-Team:

  • ❌ Chaotic solo development
  • ❌ Writing code without tests
  • ❌ No code reviews or quality gates
  • ❌ Manual deployment processes
  • ❌ Inconsistent documentation

After AI-Super-Team:

  • ✅ Structured, professional workflow
  • ✅ Tests written BEFORE code (TDD)
  • ✅ Automated code reviews
  • ✅ One-click deployments
  • ✅ Documentation that stays current

🚀 Quick Installation

Install into any existing project with one command:

# NPX (Recommended - always uses latest version)
npx ai-super-team init

# Or install globally
npm install -g ai-super-team
ai-super-team init

# Framework-specific quick setup
npx ai-super-team init --template nextjs
npx ai-super-team init --template react
npx ai-super-team init --template vue

That's it! You now have a professional development team working in your codebase.

🤖 Meet Your AI Team

Each agent specializes in a specific role, just like a real development team:

| Agent | Command | What They Do | |-------|---------|--------------| | 🧠 Product Manager | /pm | Writes detailed feature specs and user stories | | 🧪 QA Engineer | /qa | Creates comprehensive tests BEFORE coding | | 🧑‍💻 Developer | /dev | Implements features to pass existing tests | | 🧑‍🔬 Tech Lead | /techlead | Reviews code quality and architecture | | ⚙️ DevOps Engineer | /devops | Handles deployments and infrastructure | | 📚 Documentation | /docs | Maintains project documentation |

🔄 How They Work Together

graph LR
    A[💡 Your Idea] --> B[🧠 PM: Feature Spec]
    B --> C[🧪 QA: Write Tests]
    C --> D[🧑‍💻 Dev: Code Implementation]
    D --> E[🧑‍🔬 Tech Lead: Review]
    E --> F[⚙️ DevOps: Deploy]
    F --> G[📚 Docs: Update]
    G --> H[🚀 Production Ready]

💻 Example Workflow

Let's say you want to add user authentication:

# 1. Product Manager creates detailed specification
claude /pm "Users need to be able to register and login"

# 2. QA Engineer writes comprehensive tests FIRST
claude /qa "Create tests for user authentication system"

# 3. Developer implements to pass the tests
claude /dev "Implement user auth to pass existing tests"

# 4. Tech Lead reviews the implementation
claude /techlead "Review user authentication code"

# 5. DevOps deploys to production
claude /devops "Deploy authentication feature"

Result: Professional-quality user authentication with tests, documentation, and deployment—all coordinated by AI.

🛠️ Multi-Framework Support

Works with any modern web development framework:

  • Next.js - Full-stack React framework with SSR/SSG
  • React - Single-page applications with Create React App
  • Vue.js - Progressive JavaScript framework
  • Nuxt.js - Vue.js framework with SSR
  • Svelte - Compile-time optimized framework
  • Generic - Any Node.js project

Optimized Stack:

  • Language: TypeScript (optional but recommended)
  • Styling: Tailwind CSS (auto-detected)
  • Database: Supabase, PostgreSQL, MongoDB (auto-detected)
  • Deployment: Vercel, Netlify, Docker (auto-configured)
  • Testing: Jest, Vitest, Playwright (framework-specific)

📋 What Gets Added to Your Project

AI-Super-Team automatically creates this professional structure in your project:

your-project/
├── .claude/
│   ├── commands/           # AI agent slash commands
│   │   ├── pm.md
│   │   ├── qa.md
│   │   ├── dev.md
│   │   ├── techlead.md
│   │   ├── devops.md
│   │   └── docs.md
│   └── settings.json       # Claude Code configuration
├── .github/
│   ├── ISSUE_TEMPLATE/     # Feature specs, bugs, test plans
│   │   ├── feature-spec.yml
│   │   ├── bug-report.yml
│   │   └── test-plan.yml
│   ├── PULL_REQUEST_TEMPLATE/
│   │   └── default.md
│   └── workflows/          # CI/CD automation
│       ├── ci-cd.yml
│       └── claude-github-app.yml
├── .ai-super-team.json     # Configuration file
├── CLAUDE.md              # Project-specific documentation
└── vercel.json            # Deployment configuration (if applicable)

✨ Key Features Added

  • 🤖 AI Agents: 6 specialized Claude Code slash commands with framework-specific knowledge
  • 📋 GitHub Integration: Professional issue/PR templates and automated workflows
  • 🚀 CI/CD Pipeline: Automated testing, deployment, and quality gates
  • 📊 Project Management: GitHub project board integration with workflow columns
  • ⚙️ Framework Detection: Automatic adaptation to Next.js, React, Vue, Svelte, and more
  • 🔧 Configuration Management: Smart detection of TypeScript, Tailwind, testing frameworks

🧪 Enforced Test-Driven Development

AI-Super-Team enforces TDD to ensure quality:

  1. Tests First: QA agent writes comprehensive tests before any code
  2. Implementation: Dev agent writes code to pass those tests
  3. Quality Gates: Multiple validation steps prevent bugs
  4. Coverage: 90%+ test coverage requirement

Quality Standards

  • ✅ TypeScript strict mode (zero any types)
  • ✅ 90%+ unit test coverage
  • ✅ 100% API endpoint testing
  • ✅ Accessibility compliance (WCAG 2.1 AA)
  • ✅ Performance optimization (Core Web Vitals)
  • ✅ Security by default (RLS policies, secure headers)

🎯 Perfect For

  • 🧑‍💼 Solo Founders building Next.js SaaS applications
  • 👨‍💻 Developers who want professional development workflows
  • 🏢 Small Teams wanting AI-augmented development
  • 🚀 Startups that need to ship fast without technical debt

📊 GitHub Project Management

Includes an 8-column project board that maps to your AI team:

💡 Ideas → 📝 Spec Ready → ✅ Ready for TDD → 🛠 Development 
    ↓
🧪 QA Review → 🔍 Code Review → 🚀 Deploy → ✅ Done

Each column corresponds to a specific AI agent's responsibility.

🔧 Setup (30 Seconds)

Prerequisites

  • Any existing project (Next.js, React, Vue, Svelte, or generic Node.js)
  • Git repository initialized
  • Node.js 16+ installed
  • Claude Code installed

Installation Steps

  1. One Command Installation

    cd your-project-directory
    npx ai-super-team init
  2. Test Your AI Team

    claude /pm "Create a user profile feature"

That's it! Your AI team is ready to work.

🎛️ Advanced Options

# Interactive setup with customization
npx ai-super-team init

# Quick setup for specific framework
npx ai-super-team init --template nextjs
npx ai-super-team init --template react
npx ai-super-team init --template vue
npx ai-super-team init --template svelte

# Force overwrite existing files
npx ai-super-team init --force

# Skip dependency checks
npx ai-super-team init --skip-deps

# Check installation status
npx ai-super-team status

# Update to latest version
npx ai-super-team update

🏗️ What Happens Behind the Scenes

Intelligent Integrations

  • GitHub MCP: Direct integration with issues, PRs, and project management
  • Supabase MCP: Database operations and schema management
  • Context7 MCP: Up-to-date documentation from libraries (use use context7 in prompts)

Automated Quality Gates

  • TypeScript compilation on every change
  • Automated testing (unit, integration, E2E)
  • Code quality checks (ESLint, Prettier)
  • Security vulnerability scanning
  • Performance monitoring

Smart Deployment

  • Preview deployments for every PR
  • Automated production deployments
  • Performance budgets and monitoring
  • Rollback capabilities

🎥 See It In Action

# Create a new feature from start to finish
claude /pm "Users should be able to upload profile pictures"
# → Creates detailed specification with user stories

claude /qa "Create tests for profile picture upload"  
# → Writes comprehensive test suite (unit + integration + E2E)

claude /dev "Implement profile picture upload to pass tests"
# → Builds feature that passes all tests

claude /techlead "Review profile picture implementation"
# → Performs code review for security and performance

claude /devops "Deploy profile picture feature to production"
# → Handles deployment and monitoring setup

Result: A production-ready feature with tests, documentation, and monitoring—built by your AI team.

📈 Success Metrics

Projects using AI-Super-Team typically see:

  • 📊 90%+ Test Coverage (enforced by methodology)
  • 🚀 50% Faster Development (structured workflow)
  • 🐛 80% Fewer Bugs (TDD + code reviews)
  • 📚 100% Documentation Coverage (automated docs)
  • ⚡ Core Web Vitals Compliance (performance focus)

🤝 Contributing

We welcome contributions! Here's how:

  1. Fork this repository
  2. Test the system in your own Next.js project
  3. Submit improvements via pull request
  4. Share your experience in GitHub Discussions

📚 Resources

📄 License

MIT License - Use this methodology in your projects freely.

🌟 Why AI-Super-Team?

"It's like having a senior developer, QA engineer, tech lead, DevOps expert, product manager, and technical writer all working together on your project—except they're AI agents that never sleep, never argue, and always follow best practices."

The Bottom Line

Stop coding alone. Start shipping better software faster.

Transform your chaotic solo development into a structured, professional workflow that ensures quality at every step.


Ready to transform your development workflow?

npx ai-super-team init

Star this repo if you find it useful!

🚀 Get Started💬 Join Discussion🐛 Report Bug


Built with ❤️ for developers who want to ship quality software without the chaos.