A powerful AI agent skill that automates the transformation of written notes and documents into professional-grade 1080p MP4 videos with narration and visuals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install text-to-video-notegpt
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 text-to-video-notegpt 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 Text to Video NoteGPT?
Text to Video NoteGPT is a specialized tool designed to bridge the gap between written documentation and visual storytelling. By leveraging a high-performance cloud render pipeline, this Openclaw Skills extension allows users to bypass traditional video editing software entirely. It supports a wide range of input formats including PDF, DOCX, and Markdown, processing them through an intelligent SSE (Server-Sent Events) stream to generate synchronized visuals, background music, and voiceovers.
Built for the fast-paced needs of students, digital marketers, and educators, the skill manages the complex orchestration of video layers, platform-specific compression (H.264), and timeline management. It enables a seamless transition from a simple text summary to a shareable 1080p MP4 file in under two minutes, making high-quality video production accessible to anyone with a script.
Text to Video NoteGPT Use Cases
- Convert academic notes or study guides into short, engaging explainer videos for better retention.
- Transform blog posts or articles into social media-ready video content for platforms like TikTok or YouTube Shorts.
- Rapidly prototype educational content by turning lesson plans into narrated visual presentations.
- Batch process multiple documents within a single session to create a series of themed video clips.
How Text to Video NoteGPT Works
- Authentication: The skill checks for a NEMO_TOKEN; if absent, it automatically registers an anonymous client and retrieves a 7-day temporary token.
- Session Initialization: A unique project session is created to track timeline states and media assets across the cloud render pipeline.
- Content Ingestion: Users upload documents (up to 50MB) which are parsed and mapped to the AI's internal drafting schema.
- AI Generation: Through a persistent SSE connection, the agent translates natural language prompts like "convert my notes into a short" into specific timeline commands.
- Rendering & Export: The final draft is sent to a cloud GPU node for compositing and compression.
- Delivery: The system polls the render status every 30 seconds and provides a direct download link for the 1080p MP4 file.
Text to Video NoteGPT Setup
To get started with this skill in your Openclaw Skills environment, ensure your API token is configured:
# Set your environment variable
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session creation on first run
If you do not have a token, the skill will generate an anonymous ID and provision 100 free credits automatically upon your first request.
Text to Video NoteGPT Data Schema & Taxonomy
The skill utilizes a structured mapping system to manage the video timeline and assets:
| Key | Definition | Description |
|---|---|---|
t |
Tracks | Array of all media layers (Video, Audio, Text) |
tt |
Track Type | 0: Video, 1: Audio, 7: Text overlays |
sg |
Segments | Individual clips or text blocks within a track |
d |
Duration | Length of the segment measured in milliseconds |
m |
Metadata | Technical specs including resolution and bitrates |
Supported file formats include: .txt, .docx, .pdf, .md, .mp4, .mp3, and .png.
Text to Video NoteGPT Advanced Features
- Multi-Track Compositing: Simultaneously manages background music (BGM) at specific volume levels, text overlays with custom timing, and primary visual tracks.
- Stateful Iteration: The session-based architecture allows you to refine a video multiple times without re-uploading the original source files.
- Automated GUI Translation: Intelligently maps legacy visual interface instructions (like "drag and drop") into executable API actions.
- Real-time Status Heartbeats: Built-in monitoring of the cloud GPU pipeline ensures users are updated during long render cycles.
SKILL.md
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