cli-anything-shotcut

Automate Shotcut video editing workflows through command-line project and timeline control.

46.8k|4.4k|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/HKUDS/CLI-Anything --skill cli-anything-shotcut-hkuds
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cli-anything-shotcut
Source: https://github.com/HKUDS/CLI-Anything/tree/main/shotcut/agent-harness/cli_anything/shotcut/skills
Command: npx skills add https://github.com/HKUDS/CLI-Anything --skill cli-anything-shotcut-hkuds

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a command-line interface for Shotcut, enabling users and AI agents to create and modify video projects without a graphical interface, thus facilitating automation and scripting in video editing workflows.

Core Features & Use Cases

  • Project Management: Create, open, save, and get info about Shotcut projects directly via CLI commands.
  • Timeline Editing: Add tracks and clips, trim, split, and organize media elements on an editable timeline.
  • Filtering and Effects: Apply, modify, and manage filters and effects to media clips and tracks.
  • Rendering: Export final videos or generate previews through straightforward command instructions.
  • Use Case: An AI assistant assembles a video project by importing media, arranging clips on tracks, applying filters, and rendering the final video entirely via scripted commands, reducing manual effort.

Quick Start

Load an existing project, add media clips to the timeline, and render the output with a simple command.

Frequently Asked Questions about cli-anything-shotcut

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

FAQPage Schema
How do I automate video editing workflows without a graphical interface?

Automate video editing workflows by using CLI commands to control Shotcut projects, allowing AI agents and scripts to manage project creation, timeline editing, and rendering without a graphical interface.

Can I use AI agents to assemble and render video projects via scripting?

Yes, AI agents can assemble video projects by importing media, arranging clips on tracks, applying filters, and rendering the final video entirely via scripted CLI commands, significantly reducing manual effort.

Do I need Python and ffmpeg to control Shotcut from the command line?

Yes, controlling Shotcut via the command line requires Python, the melt CLI, and media processing tools like ffmpeg to enable project creation, timeline management, and rendering.

What is the best way to apply filters and manage tracks in Shotcut via CLI?

The best way to apply filters and manage tracks in Shotcut via CLI is by executing specific command instructions to add tracks, trim clips, and apply effects directly to media elements programmatically.

Does command-line video editing support timeline management and rendering for automation?

Yes, command-line video editing supports timeline management and rendering for automation by allowing users to add clips, split media, apply filters, and export final videos through straightforward command instructions.

Why should I use CLI commands for video editing instead of a graphical interface?

Use CLI commands for video editing to streamline automation and integrate video processing into scripting environments, allowing comprehensive project management and timeline editing without manual GUI interaction.