An AI-powered video editing skill that automatically converts long-form recordings into viral social media clips using natural language commands.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clip-maker-ai
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install clip-maker-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Clip Maker AI is a professional-grade skill designed for Openclaw Skills that eliminates the steep learning curve of traditional video editing software. By utilizing a powerful cloud-based GPU pipeline, it allows users to upload raw footage and generate high-quality, 1080p short-form content in seconds. This skill is specifically optimized for creators who need to perform AI clip generation from screen recordings, YouTube videos, or raw MP4 files.
The skill acts as an intelligent bridge between the user and a remote rendering engine, handling complex tasks like track layering, text overlays, and audio synchronization through simple chat-based instructions. Whether you are targeting TikTok, Instagram Reels, or YouTube Shorts, this skill provides the infrastructure to automate your content production workflow directly within your AI agent environment.
To get started with this skill on Openclaw Skills, ensure you have your API token configured. The skill can also auto-generate a temporary token for trial use.
# Set your environment variable
export NEMO_TOKEN="your_nemo_api_token"
On the first run, the skill will verify your connection and create a project session automatically. No local video codecs or heavy software installations are required.
The skill manages video data through a structured session state. Below is how the data and metadata are organized:
| Component | Description |
|---|---|
| Session ID | A unique UUID that tracks the current project state and timeline. |
| Track Types | Categorized as Video (0), Audio (1), or Text (7). |
| Draft Schema | A JSON mapping containing segments, duration in ms, and metadata (m). |
| Render Output | Includes status, quality (high/medium), and the final MP4 download URL. |
| Credits | Tracks available and frozen credits for the authenticated user. |
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