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Readme

CACI

CACI (Code Assistant Configuration Interface) - An intelligent CLI tool for configuring Claude Code projects.

Overview

CACI (Code Assistant Configuration Interface) is an npm package that provides an interactive CLI interface to automate the configuration of Claude Code projects. It intelligently analyzes project requirements and selects the most relevant agents, commands, MCPs, and hooks from a large pool of available components.

Features

Interactive CLI Interface: Easy-to-use command-line interface similar to the BMAD-method installer
AI-Powered Component Selection: Uses Google Generative AI (Gemini 2.5 Pro) to intelligently recommend components based on project requirements
Component Analysis: Parses a large pool of components (102+ agents) and recommends the most relevant ones
Colorful Output: User-friendly interface with colored output for better readability
Comprehensive Testing: Full test coverage for all functionality

Installation

npm install -g caci

Usage

# Initialize a new configuration
caci configure

# Update existing configuration
caci update

# Reset to previous configuration
caci reset

# Display help
caci --help

Commands

configure: Start the configuration process for a new project
update: Update the existing configuration
reset: Restore the previous configuration
--help: Display help information

Requirements

To use the AI-powered component recommendation feature, you'll need a Google API key:

Go to https://aistudio.google.com/
Sign in with a Google account
Navigate to "API Keys" in the sidebar
Create a new API key
Set the key as an environment variable:

export GOOGLE_API_KEY=your_api_key_here

Development

Prerequisites

Node.js (v14 or higher)
npm

Setup

git clone <repository-url>
cd caci
npm install

Building

npm run build

Testing

npm test

Running locally

npm start

Project Structure

src/
├── cli/                 # CLI interface and commands
├── analyzer/            # Component analysis and AI recommendations
│   ├── index.ts         # Data models and interfaces
│   ├── parser.ts        # Component JSON parsing
│   ├── questions.ts     # Interactive question flow
│   ├── requirementCollector.ts # CLI prompts for requirements
│   ├── ai-recommender.ts # AI-powered component recommendation
│   └── display.ts       # Recommendation display
└── types/               # TypeScript types

tests/
├── cli/                 # CLI interface tests
└── analyzer/            # Component analysis tests

Contributing

Fork the repository
Create a feature branch
Commit your changes
Push to the branch
Create a pull request

License

MIT

Acknowledgements

Uses Google Generative AI (Gemini) for AI-powered recommendations
Built with Commander.js for CLI interface
Uses Chalk for colorful terminal output
Inspired by the BMAD-method installer