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CLI to scaffold Product Kit framework for requirement-driven design

Project description

product-kit

CLI to scaffold a new Product Kit project for requirement-driven design.

Command: prod

Installation

Quick Start (Recommended)

We recommend using UV - a fast Python package installer:

# Install UV first (if you don't have it)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install product-kit
uv tool install product-kit

# Verify installation
prod --version

# Use it
prod my-project

Alternative: Using pipx

pipx install product-kit
prod my-project

Alternative: Using pip

pip install product-kit
prod my-project

Usage

Interactive Mode (Recommended)

prod my-project

# Check installed version
prod --version

You'll be prompted for:

  • Product name
  • Product vision (one sentence)
  • North Star metric
  • Primary persona name
  • Persona goal
  • Strategic pillars (comma-separated)
  • AI assistant choice (Copilot, Claude, Gemini, Codex, opencode)
  • Whether to include example content

Non-Interactive Mode

prod my-project --no-prompts

Uses sensible defaults for all options.

Specify Options

prod my-project \
  --product-name "My Awesome Product"

What Gets Created

my-product/
├── constitution.md              # Customized with your product name
├── context/
│   ├── product-vision.md        # Pre-filled with your vision
│   ├── personas.md              # Pre-filled with your persona
│   ├── glossary.md
│   └── market_research.md
├── inventory/
│   ├── feature-catalog.md
│   ├── tech-constraints.md
│   ├── data-model.md
│   └── product-map.md
├── templates/
│   ├── brd_template.md
│   ├── prd_template.md
│   └── epic_template.md
├── .github/
│   ├── copilot-instructions.md
│   └── agents/                  # Copilot agent configurations
├── .opencode/
│   └── command/                 # opencode command definitions
├── .gitignore

├── README.md
├── QUICKSTART.md
├── ARCHITECTURE.md
└── LICENSE

Next Steps

After creating your project:

  1. Navigate to your project:

    cd my-product
    
  2. Initialize git (if needed):

    git init
    
  3. Open in VS Code:

    code .
    
  4. Customize your context:

    • Edit constitution.md with your product standards
    • Fill out context/ files with product details
    • Document current state in inventory/
  5. Start using with your assistant:

    /productkit.clarify "your feature idea"
    

Requirements

  • Python 3.8 or higher
  • Compatible AI assistant (Copilot, opencode, etc.)

Development

Setup

# Clone the repo
git clone https://github.com/yourusername/product-kit.git
cd product-kit/cli

# Install with UV
uv pip install -e ".[dev]"

# Or with pip
pip install -e ".[dev]"

Testing

# Run tests
pytest

# Run with coverage
pytest --cov=product_kit

Linting

# Format code
black src/

# Lint code
ruff check src/

Local Testing

# Install locally
uv pip install -e .

# Test the CLI
prod test-project

Publishing

Using UV

# Build the package
uv build

# Publish to PyPI
uv publish

Using Traditional Tools

# Build
python -m build

# Publish
twine upload dist/*

License

MIT

Support

For issues and questions:

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