A cloud-based AI video editing skill that transforms raw footage into polished exports using simple natural language commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editor-easy
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-editor-easy 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 Editor Easy?
Video Editor Easy is a powerful addition to the ecosystem of Openclaw Skills designed for creators who need rapid video production without the learning curve of professional suites. It leverages cloud GPU nodes to handle heavy rendering tasks, allowing users to trim footage, apply transitions, and export high-quality 1080p MP4 files directly through an AI agent. By offloading processing to the cloud, it ensures that even low-powered devices can generate professional-grade content efficiently through a streamlined, conversation-driven interface.
Video Editor Easy Use Cases
- Rapidly trim and polish smartphone recordings for social media sharing.
- Batch process multiple raw clips into a cohesive video with automated transitions.
- Create clean 1080p MP4 exports from various source formats like MOV, WebM, or AVI.
- Iteratively refine video drafts through natural language instructions within a persistent session.
How Video Editor Easy Works
- The agent establishes a connection using a NEMO_TOKEN or generates an anonymous session token via the backend API.
- Users upload raw video files or provide URLs, which are then processed on cloud GPU infrastructure.
- Natural language prompts are processed via a Server-Sent Events (SSE) stream to modify the video timeline and metadata.
- The agent monitors the session state to track changes in video tracks, audio segments, and text overlays.
- A final export command triggers a high-quality render job, providing a downloadable MP4 URL once completion is confirmed via polling.
Video Editor Easy Setup
To get started with this entry in the Openclaw Skills library, you can configure your environment as follows:
# Set your API token as an environment variable for persistent access
export NEMO_TOKEN="your_nemo_token_here"
# The skill can also auto-generate a free starter token with 100 credits
# ensure ~/.config/nemovideo/ is accessible for configuration storage
The skill requires three attribution headers for every request: X-Skill-Source, X-Skill-Version, and X-Skill-Platform to maintain connection integrity with the cloud render pipeline.
Video Editor Easy Data Schema & Taxonomy
The skill manages video data through a structured session state. Below is the mapping for the internal draft schema:
| Key | Mapping | Description |
|---|---|---|
| t | tracks | Contains all media layers (video, audio, text) |
| tt | track type | 0: Video, 1: Audio, 7: Text overlays |
| sg | segments | Individual clips or segments within a track |
| d | duration | Length of the segment in milliseconds |
| m | metadata | Additional properties for scaling, positioning, or filters |
Video Editor Easy Advanced Features
- Persistent session states allow for multi-step iterative editing without losing progress between prompts.
- Support for a wide range of media formats including mkv, webp, and high-fidelity audio codecs like m4a and aac.
- Cloud-based GPU rendering pipeline ensures professional H.264 compression at up to 1080p resolution.
- Automated credit management and anonymous token lifecycle handling for seamless user onboarding.
- Intelligent intent classification to route specific commands like credits, status, or export to optimized API endpoints.
SKILL.md
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