Tomoviee Video is an AI-driven cloud editing skill that transforms raw recordings into professional 1080p short movies through simple text commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tomoviee-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 tomoviee-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 Tomoviee Video?
Tomoviee Video represents a significant leap for Openclaw Skills in the multimedia space, offering a streamlined cloud rendering pipeline that eliminates the need for complex manual editing. By leveraging powerful AI agents, it allows users to convert raw phone recordings into social-media-ready content without touching a timeline or adjusting export settings manually.
This skill bridges the gap between raw footage and polished output by handling everything from transition application to background music integration. Whether you are a casual creator or a developer looking to automate video processing, Tomoviee Video provides a robust API-driven workflow to turn my clips into a short movie with music and transitions in under two minutes.
Tomoviee Video Use Cases
- Turning raw footage into a watchable short movie for social media platforms like TikTok, Reels, or YouTube Shorts.
- Automating the creation of 1080p MP4 clips from long-form raw phone recordings.
- Adding background music and cinematic transitions to multiple clips via natural language prompts.
- Rapid prototyping of video content using iterative AI-driven edits within a persistent session.
How Tomoviee Video Works
- Authentication: The skill establishes a secure connection using a NEMO_TOKEN or generates an anonymous session token via the API.
- Session Initialization: A project session is created to track the state of the video timeline and assets.
- Media Upload: Raw video, audio, or image files are uploaded to the cloud rendering pipeline.
- Intent Processing: User instructions are parsed to determine whether to perform a Server-Sent Event (SSE) edit command or a direct state query.
- AI Synthesis: The backend composites video layers, applies text overlays, and syncs audio tracks based on the description.
- Cloud Rendering: The final draft is sent to a GPU node for compression (H.264) and exported as a high-quality MP4.
- Delivery: The skill provides a direct download URL once the render job is complete.
Tomoviee Video Setup
To use this skill within the Openclaw Skills ecosystem, ensure your environment is configured:
# Export your API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically check for configuration in:
# ~/.config/nemovideo/
If no token is provided, the skill will automatically acquire a free starter token with 100 credits valid for 7 days.
Tomoviee Video Data Schema & Taxonomy
The skill manages data through a structured JSON timeline (Draft JSON) with the following taxonomy:
| Key | Description | Values |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0 (Video), 1 (Audio), 7 (Text) |
sg |
Segments | Specific media clips within a track |
d |
Duration | Length of segment in milliseconds |
m |
Metadata | Information regarding resolution and bitrate |
It supports multiple file formats including MP4, MOV, AVI, JPG, and MP3.
Tomoviee Video Advanced Features
- Server-Sent Events (SSE) Integration: Real-time feedback during complex AI editing tasks with automatic heartbeat monitoring.
- State Persistence: The session-based architecture allows for iterative editing where the AI remembers previous timeline changes.
- Multi-Asset Compositing: Supports layering video, background music (BGM), and text titles simultaneously.
- Automatic GUI Mapping: Translates visual interface commands (like drag/drop or click) into executable API actions.
SKILL.md
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