cli-anything-agent-native-software

Generate command-line interfaces with JSON output that make GUI software controllable by AI agents.

4|Updated May 16, 2026
One-click install
npx skills add https://github.com/reason-machines/devtools-skills --skill cli-anything-agent-native-software-reason-machines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cli-anything-agent-native-software
Source: https://github.com/reason-machines/devtools-skills/tree/main/skills/cli-anything-agent-native-software
Command: npx skills add https://github.com/reason-machines/devtools-skills --skill cli-anything-agent-native-software-reason-machines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires click.

What problem does it solve? GUI applications like GIMP, Blender, and LibreOffice cannot be controlled programmatically by AI agents because they lack structured, machine-readable interfaces. This Skill provides a framework for generating agent-native CLI wrappers that return JSON output, making any software discoverable and operable by agents. ## Core Features & Use Cases - CLI Harness Generation: Build Click-based Python CLIs for GUI applications following a standardized structure with commands, core backend logic, and tests. - Structured JSON Output: Every command returns parseable JSON with success flags and error details, plus preview loops via --preview flags and trajectory recording for reproducible workflows. - CLI Hub Distribution: Browse, install, and publish community harnesses through a central registry and PyPI. - Use Case: Wrap Blender with a CLI so an agent can run blender-cli object add-cube and blender-cli render commands, receiving JSON responses it can parse to chain a full 3D scene creation workflow. ## Quick Start Ask the agent to generate an agent-native CLI wrapper with JSON output for your target application, or install an existing harness such as gimp-cli and run its commands with the --format JSON flag.

Frequently Asked Questions about cli-anything-agent-native-software

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make a GUI application controllable by AI agents?▼

Build a CLI harness using the CLI-Anything framework: create a Click-based Python CLI with command groups, a backend layer that calls the application's API or scripting interface, and JSON output for every command. Generate a SKILL.md so agents can discover the interface.

How to generate a CLI wrapper for GIMP or Blender?▼

Install the existing harness from the CLI-Anything repository with pip, or use cli-hub install gimp after installing cli-anything-hub. The repo includes 18+ production harnesses for GIMP, Blender, Inkscape, Shotcut, Godot, and others.

What output format should CLI commands return for AI agents?▼

Commands should return JSON with a success flag, relevant data fields, and error messages on failure. The framework uses a --format option with JSON and HUMAN choices, defaulting to JSON so agents can parse results reliably.

Does CLI-Anything support previewing changes before applying them?▼

Yes, commands support a --preview flag that generates a low-resolution preview without saving changes. The agent reviews the preview output, then reruns the command without the flag to commit the operation.

Why does my CLI harness report executable not found?▼

The backend cannot locate the target application's binary in common installation paths. Set an environment variable like MYAPP_EXECUTABLE to the custom path, or configure it permanently through the harness config command.

How do I publish a custom CLI harness to the CLI Hub?▼

Fork the CLI-Anything repository, add your harness entry to hub/registry.json with name, version, install source, and skill path, then submit a pull request. You can also publish the package to PyPI so users can install it with pip or cli-hub.