A cloud-based AI video editor that automates the upscaling, cutting, and exporting of raw footage into high-definition 1080p MP4 files.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hd-editor-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 hd-editor-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 HD Editor AI?
HD Editor AI is a powerful utility within the Openclaw Skills ecosystem designed to streamline the video production workflow. It leverages remote GPU nodes to process heavy video tasks, such as upscaling low-resolution footage to 1080p, removing dead air, and applying smooth transitions automatically. By offloading these tasks to the cloud, users can achieve professional results without the need for expensive local hardware.
The skill supports a wide array of formats, including MP4, MOV, and AVI, and can handle files up to 500MB. Whether you are a content creator looking to polish mobile recordings or a developer integrating automated video rendering into a larger pipeline, this skill provides the necessary endpoints to manage sessions, upload media, and trigger server-side exports efficiently.
HD Editor AI Use Cases
- Upscaling raw smartphone recordings to high-definition 1080p quality for professional distribution.
- Automatically cutting dead air and silence from tutorials or presentation videos using AI-driven commands.
- Batch processing multiple video clips in a single session to apply consistent text overlays and background music.
- Generating platform-specific content like high-quality MP4 exports optimized for social media and web players.
How HD Editor AI Works
- The skill authenticates via a NEMO_TOKEN or generates a temporary anonymous token to access the processing backend.
- A unique project session is initialized to track the editing timeline and manage state across multiple operations.
- Raw video files are uploaded to the cloud repository, supporting formats like MP4, WebM, and MOV.
- Natural language editing instructions are sent through a Server-Sent Events (SSE) stream, which the AI interprets to modify the timeline.
- The cloud GPU pipeline renders the final project, compositing layers and applying H.264 compression.
- A download URL for the finished 1080p MP4 file is returned once the export status is marked as completed.
HD Editor AI Setup
To integrate this skill from the Openclaw Skills collection, you must first configure your authentication token. If no token is provided, the skill will attempt to provision an anonymous session automatically.
# Set your primary environment variable
export NEMO_TOKEN="your_token_here"
# Create a new session via the API
curl -X POST "https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent" \
-H "Authorization: Bearer $NEMO_TOKEN" \
-H "Content-Type: application/json" \
-d '{"task_name":"project","language":"en"}'
Ensure that your configuration path at ~/.config/nemovideo/ is accessible for session persistence.
HD Editor AI Data Schema & Taxonomy
The skill organizes video projects using a structured session state. Below is the mapping for the internal draft schema used during HD editing:
| Key | Description | Type/Notes |
|---|---|---|
t |
Tracks | List of video, audio, and text layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Individual clips or text blocks within a track |
d |
Duration | Segment length in milliseconds |
m |
Metadata | Resolution, framerate, and codec details |
All metadata is stored in the data.state object, allowing for iterative editing and state recovery.
HD Editor AI Advanced Features
- Server-side rendering using cloud GPUs to process large files (up to 500MB) without slowing down the local machine.
- Intelligent intent classification that maps simple text prompts to complex multi-step video editing actions.
- Support for iterative editing, where the timeline state is preserved throughout the session for continuous refinement.
- Seamless integration with Openclaw Skills workflows for automated content generation and multi-agent coordination.
SKILL.md
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