Monday, March 09, 2026
You can find tools like @supercorks/skills-installer on npm, which uses Git sparse-checkout to selectively install these resources for Codex and other AI assistants. This allows you to build a highly customized AI assistant tailored to your specific development needs.
Paste the following standard configuration blocks into your blank file:
def main(): parser = argparse.ArgumentParser(description="Codex CLI") parser.add_argument("prompt", help="The coding prompt", type=str) args = parser.parse_args() codexini install
If you need to uninstall Codex at any point, the process is simple:
Below is a complete installation guide for , the most widely used interface for running OpenAI’s latest Codex agent workflows locally. 1. Prerequisites Ensure your environment meets these minimum requirements: Node.js : Version 18 or higher is required. You can find tools like @supercorks/skills-installer on npm,
This comprehensive guide covers step-by-step installation instructions, configuration requirements, and troubleshooting methods for both scenarios.
# codexini.config.yaml project_name: MyProject source_dirs: - src - lib exclude_patterns: - "**/test_*" - "**/migrations" documentation_format: google # Options: google, numpy, sphinx strict_mode: false link_validation: check_external_urls: true timeout_seconds: 5 # codexini
If you installed via binary, simply delete the binary file from your system.
Add something like:
If you prefer a command-line approach, check the official Codexini installation page for the latest shell script: curl -fsSL https://install.codexini.com | bash Use code with caution. Initial Setup and Configuration
