A cloud-based video editing and rendering API that enables automated 1080p production using remote GPU nodes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-openapi
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-openapi 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 OpenAPI?
Video OpenAPI is a high-performance video processing engine designed to integrate seamlessly with Openclaw Skills. It allows developers and content creators to automate the entire video production lifecycle—from uploading raw footage to rendering polished 1080p MP4 files—entirely via API calls. By offloading the heavy lifting to remote GPU nodes, this skill eliminates the need for local hardware resources while providing professional-grade editing capabilities.
The system is built for speed and efficiency, enabling users to transform a 2-minute product demo into a finished asset in as little as 30 to 90 seconds. Because it belongs to the Openclaw Skills ecosystem, it provides a standardized way for AI agents to interact with video media, handling complex tasks like track management, text overlays, and platform-specific compression (H.264) without manual intervention.
Video OpenAPI Use Cases
- Automating social media content creation by sending raw clips via API and getting back processed videos automatically.
- Integrating professional video editing and rendering workflows into custom applications using Openclaw Skills.
- Batch processing multiple video files for consistent branding, text overlays, and audio integration.
- Rapidly prototyping video ads or product demos by describing the desired output in natural language.
How Video OpenAPI Works
- The agent initializes a session within the Openclaw Skills environment using a secure NEMO_TOKEN or an anonymous starter token.
- Users upload their video assets (up to 500MB) or provide remote URLs for the cloud engine to process.
- The skill sends editing instructions through a persistent Server-Sent Events (SSE) stream for real-time logic processing.
- A cloud render pipeline on remote GPU nodes composites the video layers, audio tracks, and text segments according to the draft metadata.
- The system monitors the render job status and provides heartbeat updates until the file is finalized.
- A high-quality download URL is generated for the final 1080p MP4, ready for distribution.
Video OpenAPI Setup
To deploy this skill within your Openclaw Skills setup, ensure you have the necessary environment variables configured for authentication.
# Set your primary access token
export NEMO_TOKEN="your_nemo_api_token"
# If you do not have a token, acquire a 7-day starter token
curl -X POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token \
-H "X-Client-Id: $(uuidgen)"
Ensure that all requests include the required attribution headers: X-Skill-Source: video-openapi and the appropriate versioning from the skill configuration.
Video OpenAPI Data Schema & Taxonomy
The skill manages video data using a structured session state and draft schema. Below are the key data points handled by Openclaw Skills during a processing job:
| Field | Description | Mapping Details |
|---|---|---|
session_id |
Unique ID for the project | Required for all stateful API calls |
draft |
The current timeline state | Includes tracks (t), track types (tt), and segments (sg) |
tt |
Track Type identifier | 0 = Video, 1 = Audio, 7 = Text |
d |
Duration | Measured in milliseconds for precise trimming |
output |
Final asset metadata | Contains the download URL and file format information |
Video OpenAPI Advanced Features
- Multi-agent support for collaborative video editing tasks within Openclaw Skills workflows.
- Iterative editing capabilities that allow users to refine the timeline state without re-uploading assets.
- High-performance H.264 rendering that balances visual quality with optimal file sizes for web distribution.
- Comprehensive error handling for credit management, file size limits (500MB), and unsupported format detection.
- Support for a wide range of media containers including MP4, MOV, AVI, WebM, and MKV.
SKILL.md
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