A professional CLI tool for editing and exporting high-quality video clips using cloud-based GPU processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-cli-skill
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-cli-skill 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 CLI Skill?
The Video CLI Skill empowers developers and technical creators to perform sophisticated video editing tasks directly through command-line instructions. By leveraging a robust cloud render pipeline, users can upload video files like MP4, MOV, or WebM and apply edits such as trimming, adding text overlays, and mixing audio tracks without local hardware limitations. This Openclaw Skills extension bridges the gap between manual video production and automated, agentic workflows.
Designed for speed and precision, the skill processes edits on remote cloud GPUs, delivering 1080p MP4 files in under 90 seconds. Whether you are generating content for social media or automating documentation clips, this skill provides a seamless interface between your local environment and powerful video processing backends.
Video CLI Skill Use Cases
- Trimming long recordings into concise clips for social media or technical documentation.
- Automating the addition of text overlays and background music to raw screen recordings.
- Batch processing multiple video assets with consistent 1080p MP4 export settings.
- Iterative video refinement where the AI agent maintains session state for progressive tweaks.
How Video CLI Skill Works
- Initialize authentication by checking for a NEMO_TOKEN or generating an anonymous client identifier.
- Create a project session to establish a persistent workspace and timeline.
- Upload video assets to the cloud backend via multipart form data or direct URLs.
- Send natural language editing instructions through a Server-Sent Events (SSE) stream to the agent.
- Monitor the session state and timeline draft to verify edits and track layer composition.
- Trigger the cloud render pipeline to generate a high-quality 1080p MP4 file and retrieve the download URL.
Video CLI Skill Setup
First, ensure your environment is ready for Openclaw Skills deployment.
# Export your Nemo API token to bypass anonymous setup
export NEMO_TOKEN="your_token_here"
# The skill looks for configuration at:
# ~/.config/nemovideo/
The skill will automatically perform a token check and session creation on its first run. If no token is found, it generates a unique identifier to provide 100 free credits for immediate use.
Video CLI Skill Data Schema & Taxonomy
The skill manages data through a session-based state containing the following metadata taxonomy:
| Field | Description |
|---|---|
| session_id | Unique identifier for the current editing project |
| draft | JSON object containing tracks (t) and segments (sg) |
| track_type | Taxonomy: 0 = Video, 1 = Audio, 7 = Text overlays |
| generated_media | Array of URLs for rendered assets and exports |
| video_infos | Technical metadata for uploaded source files up to 500MB |
Video CLI Skill Advanced Features
- Multi-track timeline support for layering video, audio, and text simultaneously.
- High-performance cloud GPU rendering for fast 30-90 second export times.
- Persistent session state allowing for iterative editing across multiple agent turns.
- Support for broad media formats including GIF, WebP, and various high-fidelity audio codecs.
- Intelligent GUI-to-API mapping that translates visual instructions into programmatic actions.
SKILL.md
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