Effortlessly transform logos and taglines into professional 1080p branded intro videos using AI-driven cloud rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install maker-intro-free
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 maker-intro-free 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 Maker Intro Free?
Maker Intro Free is a sophisticated AI agent skill designed to bridge the gap between static assets and dynamic video content. By leveraging cloud GPU rendering, this component of Openclaw Skills allows developers and content creators to generate high-definition MP4 intro clips simply by describing their vision in natural language.
The skill automates the entire video production pipeline—from session management and asset uploading to timeline orchestration and final export. It eliminates the need for local rendering power or complex video editing software, providing a streamlined interface for high-impact visual branding via simple text commands.
Maker Intro Free Use Cases
- Creating high-quality YouTube channel intros from a logo and brand name.
- Generating consistent social media branded clips for marketing campaigns.
- Automating video greeting production within AI-driven customer engagement workflows.
- Rapid prototyping of video content without needing manual timeline editing or local GPU resources.
How Maker Intro Free Works
- Establish a secure connection to the backend API using a NEMO_TOKEN or an automatically generated anonymous session token.
- Initialize a project session to track the timeline state and provide a unique session ID for all subsequent operations.
- Upload media assets (images or video clips) to the cloud storage via multipart POST requests.
- Process natural language instructions through a Server-Sent Events (SSE) stream to modify the video timeline, apply overlays, and sync audio tracks.
- Queue the final composition on a cloud GPU node for high-performance rendering into a 1080p MP4 file.
- Retrieve the final download URL and monitor credit usage to ensure successful export delivery.
Maker Intro Free Setup
To integrate this skill into your environment, ensure you have the necessary environment variables configured.
export NEMO_TOKEN="your_token_here"
If no token is provided, the skill automatically acquires a free starter token (100 credits) via an anonymous authentication flow. The skill stores configuration at ~/.config/nemovideo/. Ensure directory permissions allow read/write access for session persistence across Openclaw Skills workflows.
Maker Intro Free Data Schema & Taxonomy
The skill manages data through a structured session state, mapping inputs to a complex timeline schema for precise rendering.
| Field | Description | Type |
|---|---|---|
t |
Tracks containing all video, audio, and text layers | Array |
tt |
Track type (0: Video, 1: Audio, 7: Text) | Integer |
sg |
Segments defining the placement of media on the timeline | Object |
d |
Duration of the segment in milliseconds | Long |
m |
Metadata for asset properties and transformation settings | Object |
Maker Intro Free Advanced Features
- Multi-agent support for batch processing multiple video assets in a single session.
- Iterative refinement hooks that allow for continuous timeline updates without losing state.
- Support for diverse file types including WebM, MOV, and high-fidelity PNG/WebP assets.
- Automated credit balance monitoring and session recovery for long-running render jobs.
- Seamless integration with the Openclaw Skills ecosystem for cross-platform video automation.
SKILL.md
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