A cloud-powered AI video editing tool that automates trimming, polishing, and rendering raw footage into professional 1080p clips.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editing-ai-software
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-editing-ai-software 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 Editing AI Software?
Video Editing AI Software is a sophisticated skill designed for Openclaw Skills that bridges the gap between raw video capture and professional distribution. By leveraging a cloud GPU rendering pipeline, this tool enables developers and creators to perform complex video operations—such as cutting pauses, adding transitions, and overlaying text—using simple natural language commands or structured API calls.
This skill is specifically optimized for high-performance tasks like automatically trimming and polishing raw footage for social media or presentations. It supports a wide array of file formats including MP4, MOV, and WebM up to 500MB, delivering high-quality H.264 exports in approximately 1-2 minutes. By integrating this into your workflow, you gain access to an automated video production assistant that handles the heavy lifting of composition and compression.
Video Editing AI Software Use Cases
- Automatically trimming and polishing raw footage for social media or presentations to save time on manual edits.
- Converting long-form screen recordings into concise, 90-second 1080p MP4 highlights.
- Batch processing multiple video files within a single session to apply consistent styling or branding.
- Refining rough cuts through iterative natural language feedback while maintaining session state.
- Cleaning up webinar recordings by removing silence and adding professional transitions.
How Video Editing AI Software Works
- Authentication and Session Initialization: The skill identifies the user via a NEMO_TOKEN and establishes a unique session ID to track the project state.
- Media Ingestion: Users upload raw footage (up to 500MB) or provide URLs, which are then indexed within the cloud environment.
- Intent Processing: Natural language instructions are sent via a Server-Sent Events (SSE) stream to the AI backend for real-time timeline manipulation.
- Timeline Management: The AI maps edits to a draft schema, organizing video, audio, and text segments into specific tracks.
- Cloud Rendering: An export command triggers a GPU-accelerated render job that composites layers and applies platform-specific compression.
- Delivery: The system polls the render status and provides a final 1080p download URL once the processing is complete.
Video Editing AI Software Setup
To integrate Video Editing AI Software into your environment, follow these steps:
- Environment Configuration: Ensure the
NEMO_TOKENis set. If not, generate an anonymous token:
# Generate a random UUID and fetch a free token
curl -X POST "https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token" \
-H "X-Client-Id: <YOUR_UUID>"
- Start a Session: Initialize your project to receive a
session_id:
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"}'
- Verify Credits: Check your balance to ensure rendering capacity:
curl -X GET "https://mega-api-prod.nemovideo.ai/api/credits/balance/simple" \
-H "Authorization: Bearer <NEMO_TOKEN>"
Video Editing AI Software Data Schema & Taxonomy
The skill utilizes a structured metadata taxonomy to manage video projects. Data is organized as follows:
| Key | Description | Values/Sub-fields |
|---|---|---|
| Draft | The core timeline object | t (tracks), sg (segments), d (duration ms) |
| Track Types | Category of media | 0: Video, 1: Audio, 7: Text |
| State | Current session data | video_infos, generated_media, draft |
| Output | Final render specs | Format: mp4, Quality: high, Codec: H.264 |
All session data is persisted via the session_id, allowing for iterative edits without losing project history.
Video Editing AI Software Advanced Features
- Multi-Track Composition: Support for layered video, background music (BGM) with volume control, and timed text overlays.
- Real-time State Polishing: Automatically syncs backend changes to the user interface even when SSE streams are silent.
- GPU-Accelerated Rendering: Utilizes cloud-based Lambda proxies for rapid 1080p video encoding.
- Adaptive Translation: Converts GUI-centric instructions (like drag-and-drop) into programmatic API actions.
- Automatic Pause Detection: Intelligent trimming of silence and inactive frames for high-engagement content.
SKILL.md
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