Transform 50-word text descriptions into professional 1080p AI-generated videos in minutes without local GPU hardware.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-text-to-video-api
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install free-text-to-video-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Free Text to Video API skill empowers users to bridge the gap between creative writing and visual production. By integrating this capability into Openclaw Skills, developers can utilize a cloud-based GPU pipeline to generate high-definition content directly from text prompts. The skill manages complex video layering, timeline state, and platform-specific compression (H.264) automatically, allowing for seamless video generation from simple product descriptions.
Optimized for speed and accessibility, this skill eliminates the need for expensive local hardware or complex video editing software. Users can interact with the cloud render pipeline via natural language, making Openclaw Skills an essential bridge for rapid content creation and automated marketing workflows. Whether generating social media snippets or instructional clips, the system ensures a 1080p output within a few minutes of submission.
To get started with this skill, ensure your environment is properly configured. The skill can use an existing token or generate an anonymous one automatically.
# Set your API token as an environment variable
export NEMO_TOKEN="your_nemo_token_here"
# The skill will automatically attempt to connect to:
# https://mega-api-prod.nemovideo.ai
If no token is found, the Openclaw Skills logic will generate a unique client identifier and fetch a temporary token with 100 free credits to begin video generation immediately.
The skill organizes video project data using a structured draft mapping system to ensure consistency across the Openclaw Skills ecosystem:
| Key | Definition | Details |
|---|---|---|
t |
Tracks | Contains the array of all video, audio, and text layers |
tt |
Track Type | 0 = Video, 1 = Audio, 7 = Text Overlay |
sg |
Segments | Defines start/end times and duration in milliseconds |
m |
Metadata | Stores resolution, format (MP4, MOV, AVI), and asset URLs |
sid |
Session ID | Maintains project state across multiple API calls |
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