A powerful AI agent skill that transforms written text, documents, and prompts into professional 1080p videos with visuals and background music in minutes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install text-to-video-maker-ai
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-maker-ai 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 Maker AI?
Text to Video Maker AI is a sophisticated tool designed for the Openclaw Skills ecosystem that eliminates the complexity of traditional video editing. By leveraging remote GPU nodes and advanced AI video creation models, it allows users to describe their vision in plain English and receive a fully rendered MP4 file. Whether you need to turn this blog intro into a 30-second video with visuals and background music or create social media content from a PDF, this skill handles the heavy lifting server-side.
The skill bypasses the need for local high-end hardware, performing all rendering in the cloud. It is specifically optimized for marketers, content creators, and developers who need to produce shareable media quickly without manual timeline manipulation. By integrating seamlessly with Openclaw Skills, it provides a conversational interface for professional-grade video production.
Text to Video Maker AI Use Cases
- Rapidly converting blog posts or articles into social media video teasers.
- Creating product marketing videos from text-based descriptions and specifications.
- Generating educational or training content from existing DOCX or PDF documentation.
- Batch processing multiple text prompts to create a series of themed video clips.
- Iterative video drafting where users refine visuals and audio through natural language feedback.
How Text to Video Maker AI Works
- The user provides a text prompt or uploads a document (TXT, DOCX, PDF) to the Openclaw Skills interface.
- The skill authenticates with the Nemo AI backend using a NEMO_TOKEN and establishes a unique session ID.
- User instructions are processed via a Server-Sent Events (SSE) stream to generate or edit a video timeline.
- The cloud-based GPU pipeline composites video layers, overlays text, and integrates background music.
- A render job is queued to produce a high-quality 1080p H.264 MP4 file.
- The skill polls the render status and provides a final download URL to the user.
Text to Video Maker AI Setup
To get started with this skill in your Openclaw Skills environment, ensure your API token is configured:
# Export your Nemo AI token
export NEMO_TOKEN="your_token_here"
# The skill will automatically initialize the connection
# and create a session on first use.
If no token is found, the skill will automatically attempt to generate an anonymous token with 100 free credits to let you begin AI video creation immediately.
Text to Video Maker AI Data Schema & Taxonomy
The skill manages complex timeline data using a condensed JSON format. Below is the metadata taxonomy used during the session:
| Key | Description | Values |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Individual clips within a track |
d |
Duration | Length in milliseconds (ms) |
m |
Metadata | Technical specs and asset properties |
All generated files are exported as 1080p MP4 videos using H.264 compression for maximum compatibility.
Text to Video Maker AI Advanced Features
- Multi-format support: Process TXT, DOCX, and PDF files up to 500MB for automated video script extraction.
- State Persistence: Sessions maintain the current timeline state, allowing for iterative editing without starting over.
- Real-time Credit Tracking: Built-in commands to check balance and manage usage within the Openclaw Skills workflow.
- Automated GUI Mapping: Translates backend interface instructions (like 'drag' or 'preview') into actionable API commands.
- High-Concurrency Rendering: Leverages cloud-based GPU nodes for rapid export of high-definition 1080x1920 vertical or 1920x1080 horizontal videos.
SKILL.md
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