Knowledge Transfer CLI

AI-Optimized Protocol Management System

🎯 Overview

Knowledge Transfer CLI (kt-cli) is a command-line tool that creates AI-ready projects with proven Knowledge Transfer Protocols. It ensures seamless knowledge transfer across projects, teams, and AI coding assistants.

🚀 Quick Install

Global Installation (Recommended)

# Install from npm (when published)
npm install -g @knowledge-transfer/cli

# Or install directly from GitHub
npm install -g git+https://github.com/knowledge-transfer-protocols/kt-cli.git

Verify Installation

kt-cli version
kt-cli help

📋 Usage

Create New Project

# Create AI-ready project with Knowledge Transfer Protocols
kt-cli new my-awesome-project

# Enter project directory
cd my-awesome-project

# Install dependencies
npm install

AI Assistant Integration

# Generate comprehensive AI context
kt-cli ai prepare

# Copy output and share with your AI coding assistant
# AI will immediately understand project structure and protocols

Development Workflow

# Start development server
npm run dev

# Run tests
npm test

# Validate protocol compliance
kt-cli validate  # (future feature)

🎯 What You Get

Every project created with kt-cli new includes:

✅ Complete Project Structure

• src/ - Core application logic
• tests/ - Comprehensive testing framework
• docs/ - Complete documentation
• BestPractices/ - Knowledge Transfer Protocols
• .kt-context/ - AI assistant context and project memory

✅ AI Assistant Ready

• Complete AI context package for immediate understanding
• Protocol documentation for consistent application
• Project-specific knowledge preserved across sessions

✅ Professional Standards

• Conventional commits from day one
• Comprehensive documentation following proven frameworks
• Testing structure for reliable development
• Code organization following universal best practices

🤖 AI Assistant Integration

Share Context with AI

kt-cli ai prepare

This generates a complete context package that you can share with any AI coding assistant:

# AI Assistant Context Package
# Project: my-awesome-project
# Generated: 2025-09-09

## 🎯 PROJECT OVERVIEW
**Name:** my-awesome-project
**Type:** Node.js Express Web Application
**Technology Stack:** Node.js, Express.js, JSON file storage

## 🧠 CORE PROTOCOLS (Always Apply)
1. CodeOrganizationFramework.md - Universal project structure
2. GitWorkflowPatterns.md - Professional version control
3. DocumentationFramework.md - Knowledge capture standards

## 🤖 AI BEHAVIOR GUIDELINES
- Always follow protocols without deviation
- Document everything as you build
- Use conventional commit messages
- Maintain consistency with existing patterns

Benefits for AI Assistants

• ✅ Zero Context Loss - AI understands project immediately
• ✅ Consistent Application - Same standards across all projects
• ✅ Seamless Handoffs - New AI sessions continue without friction
• ✅ Knowledge Evolution - Protocols improve based on usage

📊 Commands Reference

Command	Description
kt-cli new <name>	Create new project with protocols
kt-cli ai prepare	Generate AI assistant context
kt-cli ai validate	Test AI understanding (future)
kt-cli ai handoff	Package for new AI session (future)
kt-cli sync	Update to latest protocols (future)
kt-cli version	Show version information
kt-cli help	Show help information

🔧 Requirements

• Node.js v16+ (v18+ recommended)
• npm v8+
• Git (for version control)

📁 Project Structure

Projects created with kt-cli follow this proven structure:

my-awesome-project/
├── src/                    # Core application logic
│   └── server.js          # Main Express server
├── tests/                  # Testing framework
│   └── test-server.js     # Server tests
├── docs/                   # Documentation
│   ├── README.md          # Project documentation
│   └── API_DOCUMENTATION.md
├── public/                 # Frontend assets
├── data/                   # Data storage
├── BestPractices/          # Knowledge Transfer Protocols
│   ├── Generic/           # Universal best practices
│   └── ProjectSpecific/   # Project-specific knowledge
├── .kt-context/           # AI context and project memory
│   ├── ai-context.md      # Complete AI assistant context
│   └── project-dna.json   # Project metadata
├── package.json           # Dependencies and scripts
├── README.md              # Project overview
└── .gitignore            # Git ignore patterns

🎯 Examples

Basic Web Application

kt-cli new my-web-app
cd my-web-app
npm install
npm run dev

AI Assistant Workflow

# Create project
kt-cli new ai-assisted-project
cd ai-assisted-project

# Generate AI context
kt-cli ai prepare

# Share output with AI assistant
# AI now understands complete project context and protocols

📚 Knowledge Transfer Protocols

Every project includes proven best practices:

CodeOrganizationFramework.md

Universal directory structure and organization principles for any technology stack.

GitWorkflowPatterns.md

Professional version control practices including conventional commits and semantic versioning.

DocumentationFramework.md

Knowledge capture and transfer standards for seamless team onboarding and project handoffs.

ProtocolEvolutionFramework.md

System for continuous improvement and sharing of best practices across projects.

🔄 Contributing

1. Fork the repository
2. Create a feature branch
3. Follow our Knowledge Transfer Protocols
4. Submit a pull request

📄 License

MIT License - see LICENSE file for details.

🌟 Support

• GitHub Issues: Report bugs and request features
• Documentation: Complete guides in generated project docs
• Community: Join our discussions for best practices sharing

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Built with Knowledge Transfer Protocol Evolution System v1.0