Sora AI Video for Openclaw

A professional-grade AI video generation skill that transforms text prompts and media uploads into cinematic 1080p MP4 videos via a cloud rendering pipeline.

susan4731-wilfordf
v1.0.0
May 12, 2026
0
254
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install sora-ai-video

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Sora AI Video?

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.

Sora AI Video Use Cases

  • Rapid content creation for social media marketing without the need for filming or manual editing.
  • Iterative video prototyping where users can refine a rough cut through conversational instructions.
  • Batch processing multiple media files in a single session to apply consistent styles or transitions.
  • Automated generation of B-roll footage or background visuals for presentations and web content.

How Sora AI Video Works

  1. The skill initializes a connection by generating a unique Client-ID and fetching an anonymous NEMO_TOKEN if one is not provided.
  2. A project session is established via the Nemo API, creating a persistent state for the video timeline and assets.
  3. User inputs (text or files) are analyzed; files are uploaded to the cloud while text prompts are sent via an SSE stream for processing.
  4. The cloud GPU node composites video layers, manages track types (video, audio, text), and updates the session's draft state.
  5. Upon an export command, the system triggers a render job that compresses the timeline into a 1080p MP4 file.
  6. The skill polls the render status every 30 seconds and provides a direct download URL once completion is confirmed.

Sora AI Video Setup

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.

Sora AI Video Data Schema & Taxonomy

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.

Sora AI Video Advanced Features

  • Server-Sent Events (SSE) integration for real-time status monitoring of complex rendering tasks.
  • Automatic GUI-to-API translation that converts abstract backend commands (like 'click button') into executable API actions.
  • Multi-format support including MP4, MOV, WebM, and GIF with a high-capacity 500MB upload limit.
  • Intelligent session state polling that verifies timeline edits even when the text stream is silent.
  • Automated credit balance management and anonymous-to-registered account binding.

SKILL.md


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