A cloud-based AI video editing skill that transforms raw footage into polished 1080p MP4 files using remote GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-video-editor-app
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 free-video-editor-app 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 Free Video Editor App?
The Free Video Editor App is a technical skill designed to provide high-performance video manipulation capabilities without the need for local hardware resources. By leveraging remote GPU nodes, it allows users to perform complex editing tasks like trimming, adding transitions, and overlaying audio tracks through simple API interactions or natural language commands. This skill is a vital component for developers building automated media pipelines within Openclaw Skills.
It handles a wide range of formats including MP4, MOV, AVI, and WebM, supporting files up to 500MB. The architecture is built around a session-based workflow where the AI interprets intent to modify a timeline draft, which is then rendered server-side into a high-quality 1080p H.264 file. This makes it an ideal solution for creators who need professional-grade exports quickly and efficiently.
Free Video Editor App Use Cases
- Trimming raw mobile footage and applying professional transitions for social media.
- Automating the creation of educational video content from raw screen recordings.
- Adding background music and text overlays to marketing clips via scriptable workflows.
- Batch processing multiple video assets into standardized 1080p MP4 formats for distribution.
How Free Video Editor App Works
- Initialize the environment by setting the NEMO_TOKEN or generating an anonymous UUID-based token.
- Create a session to receive a unique session ID which tracks the state of the video timeline.
- Upload video clips or provide URLs to the cloud processing server.
- Send natural language editing instructions via a Server-Sent Events (SSE) stream for real-time AI processing.
- Poll the session state to verify changes to tracks, segments, and metadata duration.
- Request a render proxy job to composite the video layers on remote GPU clusters.
- Monitor the export status and download the final MP4 once the process is complete.
Free Video Editor App Setup
To integrate this skill into your Openclaw Skills environment, configure your authentication token and initialize the project session.
# Set your environment variable
export NEMO_TOKEN="your_nemo_api_token"
# Create a new editing session
curl -X POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent \
-H "Authorization: Bearer $NEMO_TOKEN" \
-d '{"task_name":"project", "language":"en"}'
Free Video Editor App Data Schema & Taxonomy
The skill utilizes a specialized draft JSON schema to manage the video timeline. This schema is optimized for speed using short-key identifiers:
| Key | Definition | Type |
|---|---|---|
t |
Tracks | Array |
tt |
Track Type (0: Video, 1: Audio, 7: Text) | Integer |
sg |
Segments (clips) | Array |
d |
Duration (ms) | Integer |
m |
Metadata | Object |
All session data is persisted server-side, allowing for iterative editing until the final export is triggered.
Free Video Editor App Advanced Features
- Server-Sent Events (SSE) for real-time feedback during AI video generation.
- Support for multi-track editing including synchronized background music and text overlays.
- Remote GPU rendering for 1080p H.264 high-quality exports.
- Automatic anonymous token generation for immediate developer onboarding.
- Robust error handling for rate limits, credit management, and file validation.
SKILL.md
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