Use Case
Stop doing repetitive design & creative tasks manually. Masonry: generate images and video with models across providers lets your AI agent handle them automatically through natural conversation. AI-powered image and video generation. Generate images, videos, manage jobs, and explore models via the masonry CLI. This guide shows practical examples of using Masonry: generate images and video with models across providers to automate common design & creative workflows and save hours every week.
Install Masonry: generate images and video with models across providers: npx clawhub@latest --dir ~/.claude/skills install masonry-generate-image-and-video
Identify the repetitive design & creative tasks you want to automate
Describe the task to your AI in plain English
Masonry: generate images and video with models across providers will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Masonry: generate images and video with models across providers
Automate my design & creative tasks using Masonry: generate images and video with models across providers
What repetitive tasks can Masonry: generate images and video with models across providers handle for me?
Set up a workflow that runs Masonry: generate images and video with models across providers every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install masonry-generate-image-and-videoOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install masonry-generate-image-and-videoβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/masonry-generate-image-and-video/π‘Extract and place the folder at the path above, then restart your agent.