A cloud-powered AI video editing skill that transforms images and clips into professional 1080p MP4 videos without requiring paid software.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-maker-in-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 video-maker-in-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 Video Maker in Free?
Video Maker in Free is a specialized utility designed for the Openclaw Skills ecosystem that bridges the gap between raw media and finished video content. By leveraging cloud GPU rendering nodes, this skill allows users to upload images or video clips and apply AI-driven transformations to produce high-quality 1080p exports. It is particularly effective for content creators and small business owners who need to generate promotional materials or social media content quickly.
The skill operates through a sophisticated backend pipeline that handles complex tasks like layer compositing, audio mixing, and text overlays via simple natural language commands. It manages the entire lifecycle of a video project, from anonymous token acquisition and session management to final rendering and asset delivery, all within a streamlined developer-friendly interface.
Video Maker in Free Use Cases
- Creating professional product promo videos from a set of static high-resolution photos.
- Converting raw mobile video clips into polished 1080p MP4 files with background music.
- Generating social media content with text overlays and logo branding automatically.
- Batch processing multiple media assets into a cohesive video timeline for marketing campaigns.
- Iterative video editing where users refine a rough cut through sequential natural language instructions.
How Video Maker in Free Works
- Authentication: The skill checks for a NEMO_TOKEN or automatically acquires an anonymous token with 100 free credits.
- Session Initiation: A project session is established via the API to track the state of the video timeline and media assets.
- Media Upload: Users provide files (MP4, JPG, PNG, etc.) up to 500MB, which are uploaded to the cloud rendering pipeline.
- Intent Processing: Natural language instructions are sent via SSE (Server-Sent Events) to the AI engine to manipulate the video draft.
- Timeline Management: The skill tracks video, audio, and text segments, allowing for complex edits like adding background music or title cards.
- Rendering & Export: A rendering job is queued on cloud GPU nodes to composite the layers and apply H.264 compression.
- Delivery: The skill polls the render status and provides a direct download URL for the finished 1080p MP4 video.
Video Maker in Free Setup
To initialize the Video Maker in Free skill, ensure your environment is configured for Openclaw Skills integration.
# The skill automatically handles token generation if NEMO_TOKEN is missing
# To manually set a token:
export NEMO_TOKEN="your_acquired_token"
# The skill expects configuration at:
# ~/.config/nemovideo/
The skill will automatically generate a UUID client identifier and fetch a 7-day expiry token upon its first execution if no primary environment variable is detected.
Video Maker in Free Data Schema & Taxonomy
The skill organizes video projects using a session-based draft system. Below is the mapping for the internal metadata taxonomy:
| Field | Description |
|---|---|
t |
Tracks (The primary container for timeline layers) |
tt |
Track Type (0: Video, 1: Audio, 7: Text) |
sg |
Segments (Individual clips or blocks within a track) |
d |
Duration (Measured in milliseconds) |
m |
Metadata (File info and properties) |
Exported files are delivered as 1080p MP4 files with H.264 encoding by default.
Video Maker in Free Advanced Features
- Multi-track timeline support allowing concurrent video, audio, and text layer management.
- Real-time state polling to synchronize the AI's internal draft with the user's view even when text responses are absent.
- Automated credit balance monitoring and session recovery for long-running render jobs.
- Support for a wide array of formats including WEBM, MKV, GIF, and high-fidelity audio like WAV and AAC.
- Smart GPU queueing that delivers high-quality renders in approximately 30-90 seconds.
SKILL.md
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