An AI-powered video editing skill that automates trimming, color correction, and 1080p exporting using high-performance cloud GPUs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hd-video-editing-with
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-video-editing-with 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 Video Editing With AI?
The HD Video Editing With AI skill is a professional-grade tool designed to bridge the gap between raw footage and polished content. By leveraging cloud GPU infrastructure, it allows users to perform complex editing tasks like scene transitions, text overlays, and color grading through simple natural language commands. This skill is a core component of the Openclaw Skills ecosystem, enabling content creators and YouTubers to handle high-definition footage without requiring local high-end hardware.
It specifically targets high-definition workflows, supporting 1080p MP4 output and processing files up to 500MB in size. The skill handles the heavy lifting of video composition and platform-specific compression (H.264), delivering ready-to-share results in minutes. By integrating this into your AI agent, you gain a headless video production suite capable of managing everything from single-clip trims to complex multi-track projects.
HD Video Editing With AI Use Cases
- Automatically trimming shaky intros and outtakes from raw camera recordings.
- Applying consistent color correction and professional transitions across multiple scenes.
- Generating 1080p MP4 exports for YouTube or social media platforms.
- Adding text overlays and background music tracks to existing footage.
- Batch processing multiple video assets within a single iterative session.
How HD Video Editing With AI Works
- Authentication: The skill checks for a NEMO_TOKEN; if absent, it automatically acquires an anonymous token to provide 100 free credits.
- Session Initialization: It establishes a project session via the backend API to maintain state across multiple editing commands.
- Media Ingestion: Users upload raw footage (up to 500MB) which is stored in the cloud session.
- AI Processing: Natural language instructions are sent via an SSE (Server-Sent Events) stream to the AI model, which generates a timeline draft.
- Cloud Rendering: A render job is queued on a cloud GPU node to composite layers and apply compression.
- Polling & Delivery: The skill polls the render status every 30 seconds and provides a direct download URL once the 1080p export is complete.
HD Video Editing With AI Setup
To use this skill within the Openclaw Skills framework, ensure your environment is configured correctly:
# Set your API token (required for export operations)
export NEMO_TOKEN="your_nemo_token_here"
# The skill looks for configuration in:
# ~/.config/nemovideo/
The skill will automatically handle session creation and token refresh logic if the initial environment variable is provided.
HD Video Editing With AI Data Schema & Taxonomy
The skill organizes video projects using a specific draft mapping schema for timeline management:
| Field | Description | Data Type |
|---|---|---|
t |
Tracks (Video, Audio, Text) | Array |
tt |
Track Type (0=Video, 1=Audio, 7=Text) | Integer |
sg |
Segments (Clip timing) | Array |
d |
Duration | Integer (ms) |
m |
Metadata | Object |
Supported Formats:
- Video: MP4, MOV, AVI, WEBM, MKV
- Audio: MP3, WAV, M4A, AAC
- Image: JPG, PNG, GIF, WEBP
HD Video Editing With AI Advanced Features
- Asynchronous Render Polling: Supports long-running render jobs with automated polling every 30 seconds to prevent session timeouts.
- State Persistence: Polls the
/api/stateendpoint to confirm timeline changes even when SSE streams close unexpectedly. - Multi-Track Composition: Manages up to three distinct track layers (Video, BGM, and Text) simultaneously.
- Smart Error Recovery: Includes specific handlers for credit exhaustion, large file limits, and token expiration to guide the user through resolution.
- Platform Attribution: Sends X-Skill-Source and X-Skill-Version headers to ensure compatibility across different Openclaw Skills implementations.
SKILL.md
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