Shorts Maker is a high-performance AI tool that transforms long-form video content into optimized vertical clips for social media using cloud-based GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install shorts-maker
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install shorts-maker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Shorts Maker?
Shorts Maker is a specialized tool within the Openclaw Skills ecosystem designed for creators who need to repurpose long-form content into viral short-form videos. By leveraging AI-driven intent classification and a cloud-based GPU rendering pipeline, it automates the tedious process of identifying highlights, cropping to vertical aspect ratios, and applying necessary overlays for platforms like TikTok, Instagram Reels, and YouTube Shorts.
The skill interfaces directly with high-performance video processing backends to handle complex tasks like track compositing and multi-layer rendering. Whether you are generating short clips from long recordings or performing iterative edits on a timeline, this skill provides a developer-friendly bridge to professional-grade video production tools without requiring local hardware resources.
Shorts Maker Use Cases
- Converting a 10-minute YouTube video recording into a 1080p MP4 optimized for vertical viewing.
- Automatically cutting the best 60-second moments from raw footage for social media engagement.
- Generating short clips from long recordings for TikTok creators and social media managers.
- Batch processing multiple video assets within a single session for rapid content scaling.
- Adding background music (BGM) and text overlays to raw video files through simple natural language commands.
How Shorts Maker Works
- Authentication and Session Creation: The skill establishes a secure connection using a NEMO_TOKEN or generates an anonymous session ID to track state and credits.
- Media Ingestion: Users upload video files (MP4, MOV, AVI, WebM) up to 500MB directly to the cloud rendering pipeline.
- Intent Classification: Natural language prompts are mapped to specific API actions such as editing, state queries, or credit checks.
- AI-Driven Editing (SSE): Commands are processed via a Server-Sent Events (SSE) stream, where the AI manages video tracks, audio layers, and text segments.
- Cloud Rendering: The finalized project is queued on a cloud GPU node that handles composition and H.264 compression.
- Export and Delivery: Once rendering is complete, the skill provides a direct download URL for a high-quality 1080p MP4 file.
Shorts Maker Setup
To get started with this entry in the Openclaw Skills library, ensure your environment is configured properly:
# Export your API token to the environment
export NEMO_TOKEN="your_token_here"
# The skill will automatically check for configuration at:
# ~/.config/nemovideo/
If you do not have a token, the skill will automatically attempt to acquire an anonymous starter token with 100 free credits upon the first request.
Shorts Maker Data Schema & Taxonomy
The Shorts Maker skill manages complex session states through a specific metadata taxonomy. Below is the mapping for the internal draft representation:
| Key | Definition | Description |
|---|---|---|
t |
Tracks | Array of media tracks in the project |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Specific time-slices of media on the timeline |
d |
Duration | Length of the segment in milliseconds (ms) |
m |
Metadata | Technical specs and source info for the asset |
All exported files are rendered in 1080p (up to 1080x1920) using the H.264 codec for maximum compatibility across Openclaw Skills integrations.
Shorts Maker Advanced Features
- Real-time Timeline Polling: Automatically recovers state from the backend if an SSE stream closes, ensuring no progress is lost during complex edits.
- Multi-Track Compositing: Supports simultaneous management of video, BGM, and text overlays with granular volume and timing control.
- Anonymous-to-Registered Binding: Seamlessly handles credit migration via specialized binding IDs for users moving from free tiers to pro subscriptions.
- Cloud GPU Rendering Proxy: Offloads heavy video encoding to specialized Lambda instances, delivering results in 30-90 seconds regardless of user hardware.
- Intelligent Heartbeat Monitoring: Built-in status reporting for long-running AI operations to keep users informed during intensive processing tasks.
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