An AI-powered video script generation tool that transforms topics and text into professional scripts and rendered 1080p MP4 videos via cloud GPUs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-script-automaton
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 video-script-automaton 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 Video Script Automaton?
Video Script Automaton is a high-performance developer tool designed for YouTubers, marketers, and content creators who need to move from concept to final render at lightning speed. By leveraging cloud GPU nodes, the skill processes text, topics, or briefs to generate structured video scripts and rendered media in as little as 20-40 seconds. It serves as a bridge between raw ideas and production-ready 1080p MP4 files, supporting a wide range of media formats including MOV, TXT, and DOCX.
As a part of the Openclaw Skills library, this automaton integrates seamlessly into AI agent workflows. It manages the entire lifecycle of video creation, from initial intent classification and session management to the final export. Whether you are creating a quick explainer or a detailed marketing clip, this skill handles the heavy lifting of composition, text overlays, and audio track management through a robust SSE-based communication pipeline.
Video Script Automaton Use Cases
- Automatically generate a video script for a 90-second YouTube video explaining how solar panels work.
- Convert text briefs or DOCX files into formatted video scripts with synchronized audio and text overlays.
- Batch process multiple media files within a single session for rapid content iteration.
- Refine rough cuts into polished 1080p MP4 exports using iterative AI feedback loops.
- Rapidly create social media content by providing short topics and receiving high-quality rendered videos.
How Video Script Automaton Works
- Authentication: The skill checks for a NEMO_TOKEN; if absent, it generates a UUID and fetches an anonymous token with 100 free credits.
- Session Initiation: A unique session is created via the cloud API to track the project state and timeline metadata.
- Intent Mapping: User prompts are routed to specific actions like Upload, SSE (for generation/editing), or Export based on keyword analysis.
- Processing: Requests are sent to cloud GPU nodes where video layers are composited and platform-specific H.264 compression is applied.
- State Management: The skill tracks the draft timeline, including video tracks, audio segments, and text overlays (using mappings like tt=7 for text).
- Export and Delivery: Once the render job is queued and completed, the skill provides a direct download URL for the final 1080p MP4 file.
Video Script Automaton Setup
To get started with this Openclaw Skills member, ensure your environment is configured correctly:
# Set your API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically initialize the config path
mkdir -p ~/.config/nemovideo/
On the first run, the skill will automatically detect your platform (Clawhub, Cursor, etc.) and establish a connection to the cloud backend. Use the command generate my text or topic to begin your first session.
Video Script Automaton Data Schema & Taxonomy
The skill organizes video data through a structured session state and timeline draft system:
| Field | Description | Type |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Start/End points in ms |
d |
Duration | Total length in milliseconds |
m |
Metadata | File info and rendering specs |
Supported input formats include: MP4, MOV, AVI, WEBM, MKV, JPG, PNG, GIF, WEBP, MP3, WAV, M4A, and AAC.
Video Script Automaton Advanced Features
- Multi-Agent SSE Support: Real-time Server-Sent Events (SSE) allow for complex, multi-step editing instructions and live progress heartbeats.
- Anonymous-to-Registered Binding: Seamlessly transition from anonymous sessions to registered accounts to preserve credits and projects.
- Custom Attribution Headers: Ensures high priority rendering by passing specific X-Skill-Source and X-Skill-Platform metadata.
- GPU Cloud Pipeline: Offloads heavy rendering tasks to remote nodes, supporting files up to 200MB without local resource consumption.
- Draft Mapping: Advanced users can directly manipulate the timeline draft JSON for granular control over track segments and track types.
SKILL.md
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