script-magic 1.10.0

Command-line script utility toolkit that simplifies common scripting tasks with AI-powered script generation, GitHub Gist integration for cross-device synchronization, and automatic dependency management. Create, run, and manage scripts with natural language prompts.

Script Magic 🪄

Command-line script utility toolkit that simplifies common scripting tasks!

Features

• 🤖 AI-Powered Script Generation: Create Python scripts from natural language prompts using LiteLLM and Instructor, supporting:

  • OpenAI models
  • Anthropic Claude models
  • Google Gemini models

• ☁️ GitHub Gist Integration: Store and manage scripts in GitHub Gists for easy sharing and versioning.

• 🔄 Simple Script Management: Run, update, edit, list, and delete your scripts with simple commands.

• 📦 Automatic Dependency Management: Script execution with uv handles dependencies automatically, based on PEP 723 metadata.

• 🚀 Interactive Mode: Refine generated scripts interactively before saving.

• 🖋️ Built-in Code Editor: Edit scripts directly in your terminal with a Textual-based editor, featuring syntax highlighting and AI-powered editing capabilities.

• 🔄 Cross-Device Synchronization: Automatically sync your script inventory across devices using GitHub Gists.

• 🔎 Smart Gist Detection: Automatically finds your existing script mappings on GitHub.

• 🌐 Multi-Environment Support: Works seamlessly across different machines with the same GitHub account.

• 📝 PEP 723 Metadata: Generated scripts include PEP 723 metadata for dependency and runtime information.

• ✨ Enhanced Editing with AI: Edit existing scripts using natural language instructions, powered by AI.

• 🎛️ Configurable Models: Choose different AI models for script generation and editing.

Installation

Script Magic now uses uv for package management. Install uv first:

curl -LsSf https://astral.sh/uv/install.sh | sh

Then, install Script Magic:

pip install script-magic

Or, for the latest version directly from GitHub:

uv pip install git+https://github.com/yourusername/script-magic.git

Replace yourusername with the actual username.

Quick Install and Tool Install (Recommended)

# Clone the repository (Optional, but useful for development/contributing)
git clone https://github.com/yourusername/script-magic.git
cd script-magic

# Install with uv (ensures correct environment)
uv venv
uv pip install -e .

# Install as a tool using uv, forcing Python 3.13:
uv tool install --force --python 3.13 script-magic@latest

# Set up your environment variables
export OPENAI_API_KEY="your-openai-api-key" # Or your LiteLLM provider key
export MY_GITHUB_PAT="your-github-personal-access-token"

# Optional: Set up additional model provider keys if needed
export ANTHROPIC_API_KEY="your-anthropic-key"
export GOOGLE_API_KEY="your-gemini-key"

Important: The uv tool install command creates a separate, isolated environment for Script Magic. This helps avoid dependency conflicts. You must use uv run to execute scripts that have dependencies installed via PEP 723.

Usage

sm --help

Creating Scripts

Generate a new script from a natural language prompt:

sm create hello-world "Create a script that prints 'Hello, World!' with a timestamp."

Generate with interactive preview:

sm create fibonacci --preview "Generate a script to print the first 10 Fibonacci numbers."

Specify a different AI model:

sm create list-files --model "anthropic/claude-3-opus" "List files in a directory."

Creating Script Stubs

Create a script stub with boilerplate code that you can fill in:

sm code script-name "Description of what the script does"

This will:

1. Create a script stub with PEP 723 metadata, argument parsing, and basic structure
2. Upload to GitHub Gist (if --publish is used and GitHub PAT is configured)
3. Update your local script inventory
4. Open the script in your preferred editor

Options:

# Skip GitHub publishing
sm code local-script "My offline script" --no-publish

# Specify a custom editor to use
sm code new-tool "Command line utility" --editor "vim"

If a script with the same name already exists, Script Magic will open the existing script in your editor instead of creating a new one.

Running Scripts

Run a script that has been previously created:

sm run hello-world

Pass parameters to the script (Script Magic intelligently separates its own options from the script's arguments):

sm run hello-world --name="John"

Script Magic will automatically use uv run to execute the script in the correct environment, handling any dependencies.

Force refresh from GitHub before running:

sm run hello-world --refresh

Run a script in a new terminal window:

sm run visualize-data --in-terminal

The --in-terminal (-t) option runs the script in a new terminal window. This is useful for scripts with interactive elements or those producing visual output.

Listing Scripts

View all scripts in your inventory:

sm list

Show detailed information:

sm list --verbose

Pull the latest scripts from GitHub before listing:

sm list --pull

Push local changes to Github before listing:

sm list --push

Syncing Scripts

Push your local inventory and scripts to GitHub:

sm push

Pull the latest scripts and mapping from GitHub:

sm pull

Deleting Scripts

Remove a script:

sm delete script-name

Force deletion without confirmation:

sm delete script-name --force

Editing Scripts

Edit a script using the built-in Textual editor:

sm edit myscript

Use AI to modify the script during editing (Ctrl+P within the editor):

1. Press Ctrl+P in the editor.
2. Enter instructions like "Add a function to calculate the average."
3. The AI will modify the script based on your instructions.

Specify a different model for AI-assisted editing:

sm edit myscript --model "anthropic/claude-3-opus"

GitHub Integration

Script Magic automatically handles GitHub synchronization:

• First-time users: Creates a new private Gist to store your script inventory.
• Existing users: Finds your existing script inventory Gists automatically.
• Multiple devices: Detects existing mappings and asks which version to keep.

Configuration

Script Magic stores configuration in the ~/.sm directory:

• ~/.sm/mapping.json: Maps script names to GitHub Gist IDs.
• ~/.sm/gist_id.txt: Stores the ID of the Gist containing your mapping file.
• ~/.sm/logs/: Log files for debugging.
• ~/.sm/scripts/: Local copies of your scripts.

Structure

script-magic/
├── src/
│   └── script_magic/
│       ├── __init__.py                # CLI entry point & command registration.
│       ├── ai_integration.py          # AI script generation and editing.
│       ├── create.py                  # `create` command implementation.
│       ├── delete.py                  # `delete` command implementation.
│       ├── edit.py                    # `edit` command implementation (Textual TUI).
│       ├── github_gist_finder.py      # Finds existing mapping Gists.
│       ├── github_integration.py      # GitHub Gist API interaction.
│       ├── list.py                    # `list` command implementation.
│       ├── logger.py                  # Logging setup.
│       ├── mapping_manager.py         # Manages the script mapping (local & GitHub).
│       ├── mapping_setup.py           # Initializes mapping with GitHub sync.
│       ├── pep723.py                  # PEP 723 metadata parsing and updating.
│       ├── rich_output.py             # Rich-based console output utilities.
│       └── run.py                     # `run` command implementation.
├── README.md
└── ...

Environment Variables

• OPENAI_API_KEY: Your OpenAI API key (or key for your chosen LiteLLM provider).
• MY_GITHUB_PAT: GitHub Personal Access Token with gist scope.

Contributing

Contributions are welcome! Please submit a Pull Request.

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/amazing-feature).
3. Commit your changes (git commit -m 'Add some amazing feature').
4. Push to the branch (git push origin feature/amazing-feature).
5. Open a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Instructor
• LiteLLM
• Click
• PyGitHub
• Rich
• Textual
• uv

Development

To install development dependencies:

uv pip install -e '.[dev,syntax]'