CLI Anything: AI-Powered Project Automates CLI Generation for Open-Source Software

A novel open-source initiative, CLI Anything, is gaining traction for its ability to automatically generate Command Line Interfaces (CLIs) for virtually any open-source program, provided its source code repository is accessible. This tool addresses the increasing demand for programmatic interaction with software, especially in the context of AI-driven automation. Leveraging advanced AI models such as Claude and Codex, CLI Anything executes a sophisticated pipeline: it analyzes a program’s graphical user interface (GUI) or source code, designs operational tasks, implements Python-based CLI scripts, and then proceeds with testing, documentation, and publication. A significant feature is the generation of skill.md files, which provide AI agents with contextual command definitions, facilitating more efficient and context-aware manipulation of applications compared to traditional methods like MCPs. The project demonstrates its capability by successfully creating a functional CLI for GIMP, allowing AI to perform operations like image conversion, color adjustments, and even feature additions such as background removal.

CLI Anything extends its utility across a broad spectrum of open-source projects, with pre-generated CLIs already available for popular tools like Blender, Inkscape, Audacity, and Kdenlive. Its applicability spans GitHub repositories (e.g., VS Code, WordPress), AI platforms requiring API-controlled data analysis or diagram generation, and various development tools. While the core concept shares similarities with directly prompting an AI to generate a CLI from a downloaded codebase, CLI Anything distinguishes itself by offering a structured, automated pipeline. This streamlined approach simplifies the process for both developers and non-developers, albeit with a creation process that can take up to 15 minutes for complex projects like GIMP. While the generated CLIs can be highly functional, as shown with GIMP’s background removal feature, the precision of AI-implemented operations may not always match manual GUI interaction, indicating areas for ongoing refinement.