HKUDS/CLI-Anything

A meta-skill that gives AI agents access to CLI-Hub, a live marketplace of agent-native command-line interfaces for professional software covering creative workflows, productivity tools, AI platforms, and development tools — all installable via pip with JSON output support.

A skill from the CLI-Anything project that generates CLI harnesses for Blender, making it agent-native. Part of a framework that bridges AI agents and desktop software by creating command-line interfaces, enabling agents to produce real artifacts like diagrams, gameplay, and subtitles.

CLI-Anything bridges AI agents and existing software by generating CLI harnesses, with a community hub for installing and managing CLIs that produce real artifacts like diagrams, gameplay, and subtitles.

A skill from the CLI-Anything project that makes Zotero reference management software agent-native, enabling AI agents to interact with Zotero libraries and manage academic references from the command line.

CLI-Anything skill that generates a CLI harness for Kdenlive video editor, enabling AI agents to programmatically control video editing operations through auto-generated command-line interfaces.

CLI-Anything skill that generates a CLI harness for iTerm2 terminal emulator, enabling AI agents to programmatically control terminal operations through auto-generated command-line interfaces.

A framework that makes any command-line software agent-native by auto-generating CLI harnesses, allowing AI agents to interact with tools like Mermaid, FFmpeg, and other CLI applications through a standardized interface.

A skill from the CLI-Anything project that makes video captioning software agent-native, allowing AI agents to automatically generate subtitles and captions for videos from the command line.

A CLI skill from the CLI-Anything framework that makes RenderDoc agent-native, enabling AI agents to programmatically control and interact with the RenderDoc graphics debugging tool.

A CLI skill from the CLI-Anything framework that makes iTerm2 agent-native, allowing AI agents to control and interact with iTerm2 terminal sessions programmatically.