taskinator 0.1.2

A Python-based task management system for AI-driven development

Taskinator

A Python-based task management system for AI-driven development. Inspired by claude-taskmaster project.

Features

• Parse PRD documents into actionable tasks
• Break down tasks into subtasks using AI assistance
• Track task dependencies and status
• Research-backed task generation using Perplexity AI
• Rich terminal UI with progress indicators
• Comprehensive task management CLI
• Conflict resolution strategies
• External task sync
  • nextcloud

Installation

1. Ensure you have Python 3.8 or later installed
2. Install using pip:

pip install taskinator

Or install from source:

# Clone the repository
git clone https://github.com/yourusername/taskinator.git
cd taskinator

# Install Poetry if you haven't already
curl -sSL https://install.python-poetry.org | python3 -

# Install dependencies and the package
poetry install

# Activate the virtual environment
poetry shell

Configuration

Create a .env file in your project directory with your API keys:

ANTHROPIC_API_KEY=your_claude_api_key
PERPLEXITY_API_KEY=your_perplexity_api_key  # Optional
CLAUDE_MODEL=claude-3-opus-20240229  # Optional, defaults to latest
PERPLEXITY_MODEL=sonar-pro  # Optional, defaults to sonar-pro

Usage

Initialize a Project

taskinator init

Parse a PRD

taskinator parse path/to/prd.txt --num-tasks 10

List Tasks

# List all tasks
taskinator list

# Filter by status
taskinator list --status pending

# Show subtasks
taskinator list --subtasks

Expand a Task

# Basic expansion
taskinator expand 1

# With research
taskinator expand 1 --research

# Specify number of subtasks
taskinator expand 1 --num-subtasks 3

# Add context
taskinator expand 1 --context "Focus on security features"

Update Task Status

# Update single task
taskinator status 1 done

# Update multiple tasks
taskinator status 1,2,3 in_progress

Update Tasks with New Context

# Basic update
taskinator update 1 "New implementation details..."

# With research
taskinator update 1 "New implementation details..." --research

Task Structure

Tasks are stored in both JSON format (tasks.json) and individual text files:

tasks/
├── tasks.json
├── task_001.txt
├── task_002.txt
└── ...

Each task includes:

• Unique ID
• Title
• Description
• Implementation details
• Test strategy
• Dependencies
• Priority
• Status
• Optional subtasks

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/yourusername/taskinator.git
cd taskinator

# Install Poetry
curl -sSL https://install.python-poetry.org | python3 -

# Install dependencies
poetry install

# Run tests
poetry run pytest

Code Style

The project uses:

• Black for code formatting
• isort for import sorting
• mypy for type checking

Format code before committing:

poetry run black .
poetry run isort .
poetry run mypy .

Running Tests

# Run all tests
poetry run pytest

# Run with coverage
poetry run pytest --cov

# Run specific test categories
poetry run pytest -m "not integration"  # Skip integration tests
poetry run pytest -m "unit"  # Run only unit tests

Troubleshooting

Common Issues

1. Missing Dependencies

   # If you see ModuleNotFoundError, try reinstalling dependencies
   poetry install --sync
   

2. API Key Issues

   # Verify your .env file is in the correct location
   taskinator init --debug
   

3. Permission Issues

   # If you can't run the CLI, try
   chmod +x $(which taskinator)
   

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests and linting
5. Submit a pull request

License

MIT License - see LICENSE file for details.

Credits

Original Node.js version by Eyal Toledano