A high-performance AI video editing tool that converts raw footage into finished 1080p MP4 videos using natural language prompts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install to-video
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 to-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 To Video?
To Video is a professional-grade skill designed to bridge the gap between raw recordings and finished media products. By utilizing cloud GPU rendering, it allows developers and creators to transform raw footage into production-ready videos without local processing overhead. This skill is part of the broader ecosystem of Openclaw Skills, enabling users to perform complex editing tasks like adding background music, captions, and transitions simply by describing their needs in plain English.
The tool is optimized for speed and quality, defaulting to 1080p resolution and supporting a wide variety of input formats. Whether you are generating social media content or polishing a screen recording for a technical demo, this skill provides a seamless interface for cloud-based video production.
To Video Use Cases
- Convert long screen recordings into concise social media shorts with automated captions.
- Add background music and text overlays to raw product demos.
- Batch process multiple video files within a single session for consistent styling.
- Rapidly export high-quality MP4 files from various source formats like MOV or AVI using Openclaw Skills commands.
How To Video Works
- Establish a connection to the backend using a NEMO_TOKEN or an automatically generated anonymous token.
- Initialize a project session to maintain the state of your video timeline and assets.
- Upload your raw footage or provide URLs for the media assets to be processed.
- Send natural language instructions via Server-Sent Events (SSE) to describe edits, overlays, and styling.
- Trigger the cloud render pipeline which queues the job on a GPU node for compositing.
- Poll the export status and receive a final download URL once the 1080p MP4 is ready.
To Video Setup
To get started with this skill within the Openclaw Skills framework, ensure your environment is configured correctly:
# Set your API token as an environment variable
export NEMO_TOKEN="your_nemo_token_here"
# If no token is available, the skill can auto-generate
# an anonymous token via the /api/auth/anonymous-token endpoint.
The skill requires access to the Nemovideo API and handles session management automatically once the token is verified.
To Video Data Schema & Taxonomy
The skill organizes video projects using a specific draft schema designed for efficient state management within Openclaw Skills.
| Key | Definition | Usage |
|---|---|---|
t |
Tracks | Contains the list of all video, audio, and text tracks. |
tt |
Track Type | 0 for Video, 1 for Audio, 7 for Text overlays. |
sg |
Segments | Defines the timing and source of specific clips on a track. |
d |
Duration | Length of the segment in milliseconds. |
m |
Metadata | Stores information about the assets and their properties. |
To Video Advanced Features
- Server-Sent Events (SSE) integration for real-time processing feedback and status updates.
- Automatic skill attribution and platform detection for seamless integration into various IDEs.
- Support for iterative editing, allowing users to refine the timeline state over multiple interactions.
- High-speed cloud rendering that bypasses local hardware limitations for 1080p exports.
- Advanced intent classification to map natural language directly to specific Openclaw Skills actions like credit checks or state queries.
SKILL.md
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