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iart-aiMotion graphics and video skills for AI coding agents
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This repository provides 51 open-source "skills" designed to teach AI coding agents how to create sophisticated motion graphics, animation, and video content. It addresses the challenge of generating precise, on-brand motion from AI prompts by encoding professional workflows directly into agent-native formats. The target audience includes AI agents, developers, and content creators seeking to automate or enhance motion graphics production, offering benefits like automated kinetic typography, data visualizations, and short-form video creation with professional craft.
How It Works
The core approach involves packaging specific motion graphics workflows as self-contained "skills." Each skill is a folder containing instructions and references that an AI agent can understand and execute. This method bypasses the need for model fine-tuning or custom plugin runtimes, instead leveraging existing agent capabilities. A key feature is the "deliver-and-verify" loop, where the agent renders a frame, captures a screenshot, and verifies its output, ensuring accuracy in timing, looping, and brand consistency.
Quick Start & Requirements
Installation is straightforward via npx skills add <pack-name> (e.g., npx skills add iart-ai/tiktok-video-skills) or as a plugin for Claude Code using /plugin marketplace add <pack-name>. The skills are auto-discovered by Claude Code, Cursor, Codex, and over 40 other AI agents. No specific non-default hardware or software prerequisites are mentioned beyond agent compatibility.
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Maintenance & Community
The project is developed by iart.ai. The provided README does not include links to community channels (e.g., Discord, Slack), roadmaps, or specific contributor information.
Licensing & Compatibility
The project is released under the MIT license, which permits free use, modification, and distribution. This license is highly permissive for commercial use and integration into closed-source projects.
Limitations & Caveats
These skills are designed as instructional modules for AI coding agents, not as standalone applications. Their effectiveness is contingent on the AI agent's ability to interpret and execute the provided workflows. The README does not specify any alpha/beta status or known bugs.
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