A professional-grade AI video generation skill that transforms text prompts and media uploads into cinematic 1080p MP4 videos via a cloud rendering pipeline.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sora-ai-video
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 sora-ai-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Sora AI Video is an advanced Openclaw Skills integration designed to democratize professional video production. It eliminates the steep learning curve of traditional editing software by allowing users to describe their vision in plain language. By leveraging a high-performance cloud GPU rendering pipeline, it processes complex requests—such as generating a sunset over the ocean with crashing waves—into a polished 10-second video in just minutes.
The skill acts as a bridge between the user's intent and the Nemo Video API, handling everything from anonymous authentication and session management to multipart file uploads and Server-Sent Events (SSE) for real-time processing updates. Whether you are starting from scratch with a text prompt or modifying existing media, this tool ensures high-fidelity output with platform-specific compression.
To get started with this component of Openclaw Skills, ensure your environment is configured for the Nemo API.
# Set your API token (Optional: will auto-generate anonymous token if empty)
export NEMO_TOKEN="your_token_here"
# The skill will automatically check for config in:
# ~/.config/nemovideo/
On the first interaction, the skill handles UUID generation and session creation automatically, providing a 'Setting things up...' status to the user.
The skill manages a structured timeline draft with optimized short-key metadata to ensure low-latency updates:
| Key | Description |
|---|---|
t |
Tracks: The primary container for video, audio, and text layers. |
tt |
Track Type: Integer codes (0=Video, 1=Audio, 7=Text). |
sg |
Segments: Individual clips or elements within a specific track. |
d |
Duration: Length of segments or the total timeline in milliseconds (ms). |
m |
Metadata: Additional properties like aspect ratio and text overlays. |
All generated media and draft states are tracked via the session_id to allow for stateful, iterative editing.
Loading
A cloud-based AI agent skill that automates video editing and exporting through simple text commands.

A professional AI-driven video editing skill that transforms raw footage into polished 1080p MP4 clips via simple text commands.

A cloud-based AI video processor that automates Japanese subtitling, translation, and rendering for content creators and language learners.

A specialized tool for creating physical labels, pocket maps, and rapid reset routines to ensure your backpack essentials are always in the right place.

A professional-grade AI video editing skill that automates cutting, audio syncing, and exporting raw footage into publish-ready social media content via cloud GPUs.

A professional organization tool for cataloging spare garment buttons and creating secure reference cards for future clothing repairs.








































