A professional AI-driven video repair skill that patches out unwanted regions and exports clean, high-definition footage via cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install patch-maker
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 patch-maker 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 Patch Maker?
Patch Maker is a sophisticated video processing tool within the Openclaw Skills ecosystem designed for content creators who need to clean up footage. It leverages remote GPU nodes to perform complex AI patch creation, allowing users to remove watermarks, logos, or unwanted objects without needing local high-end hardware. The skill supports a wide array of formats including MP4, MOV, and WebM, delivering professional 1080p results in under a minute.
By utilizing server-side rendering, Patch Maker ensures that intensive video editing tasks do not drain local resources. It streamlines the workflow from raw upload to final export, providing a seamless bridge between user intent and advanced AI video manipulation. Whether you are smoothing backgrounds or replacing specific regions, this skill handles the heavy lifting of video reconstruction automatically.
Patch Maker Use Cases
- Removing watermarks or branding from gameplay and social media clips.
- Patching out unwanted background objects or people from video footage.
- Replacing specific regions in a video with smoothed textures for a cleaner look.
- Batch processing multiple video assets within a single session for consistent editing.
- Quick conversion and cleanup of diverse video formats into standardized 1080p MP4 files.
How Patch Maker Works
- Authentication: The skill establishes a secure connection using a NEMO_TOKEN or generates an anonymous session for immediate access.
- Session Creation: A unique session ID is initialized to track the project state and timeline metadata across multiple requests.
- Media Upload: Users upload video files (up to 500MB) directly to the cloud render pipeline for processing.
- AI Processing: Specific instructions are sent via Server-Sent Events (SSE) to remote GPU nodes which apply the requested patches and repairs.
- State Management: The skill monitors the timeline state, including video tracks and text overlays, ensuring iterative edits are saved.
- Cloud Rendering: The final composite is rendered on the server, applying H.264 compression and 1080p scaling.
- Export and Delivery: A polling mechanism checks for job completion and provides a secure download URL for the finished MP4.
Patch Maker Setup
To get started with this skill for Openclaw Skills, ensure your environment is configured correctly:
# Set your API token
export NEMO_TOKEN="your_token_here"
# Create a config directory if it doesn't exist
mkdir -p ~/.config/nemovideo/
If you do not have a token, the skill will automatically attempt to acquire a free starter token by POSTing to the anonymous auth endpoint with a unique X-Client-Id header.
Patch Maker Data Schema & Taxonomy
The skill manages video data through a structured session state and metadata taxonomy:
| Component | Description |
|---|---|
| tracks (t) | Organized list of media layers (video, audio, text). |
| track type (tt) | Identifiers for content: 0 for Video, 1 for Audio, 7 for Text. |
| segments (sg) | Specific time-bound portions of the media tracks. |
| metadata (m) | Technical details including resolution, frame rate, and duration. |
| draft JSON | A compressed representation of the project timeline used for rendering. |
Patch Maker Advanced Features
- Multi-agent support for complex editing workflows and iterative refinements.
- Automated GUI instruction mapping that translates visual commands into API actions.
- High-performance cloud GPU rendering for 1080p exports regardless of local CPU power.
- Intelligent intent classification for routing requests like status checks, credit balance, and exports.
- Support for a massive range of file extensions including MKV, WebP, and various audio formats.
SKILL.md
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