A high-performance AI video editing skill that automates cutting, audio mixing, and 1080p exporting through 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-content
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-content 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 Content?
The Video Content skill for Openclaw Skills enables developers and creators to bypass complex editing software. By leveraging a cloud-based GPU rendering pipeline, this skill processes raw footage in various formats—including MP4, MOV, AVI, and WebM—and applies edits like pause removal, background music integration, and text overlays based on natural language prompts.
It is designed for rapid content creation where speed and simplicity are paramount, allowing users to go from raw footage to a finished 1080p MP4 in minutes. By integrating this skill, users can interact with a sophisticated cloud render pipeline directly through an AI agent interface.
Video Content Use Cases
- Automated removal of silent gaps and pauses in talking-head videos for faster pacing.
- Rapidly adding background music and text overlays for social media shorts and marketing clips.
- Batch processing multiple video assets within a single session for consistent styling and formatting.
- Generating 1080p MP4 exports from raw mobile or screen recording footage without manual sliders.
How Video Content Works
- The user provides raw video footage via direct upload or a remote URL.
- The skill establishes a session and connects to the cloud rendering API using an authentication token.
- Natural language instructions are translated into track-based edit commands via a Server-Sent Events (SSE) stream.
- The backend queues the job on a cloud GPU node to composite layers and apply platform-specific H.264 compression.
- The skill polls the export status via a proxy and provides a final download link once the status reaches completion.
Video Content Setup
To use this skill within Openclaw Skills, ensure your NEMO_TOKEN environment variable is configured. For new users, the skill can generate an anonymous token with a 7-day expiry and 100 credits automatically.
# Set your API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session creation via:
# POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent
The skill requires specific attribution headers (X-Skill-Source, X-Skill-Version, and X-Skill-Platform) to be present on every request to unlock the export functionality.
Video Content Data Schema & Taxonomy
The skill manages a complex session state represented in a draft format to organize tracks and segments. Data is structured as follows:
| Key | Meaning | Description |
|---|---|---|
| t | Tracks | An array containing all media layers in the project |
| tt | Track Type | Categorizes tracks: 0 (Video), 1 (Audio), or 7 (Text) |
| sg | Segments | The specific clips and timing data within a track |
| d | Duration | The length of the segment measured in milliseconds |
| m | Metadata | Technical specifications, file tags, and rendering info |
Video Content Advanced Features
- Real-time session state synchronization to track timeline updates across multiple turns.
- High-quality cloud rendering proxy support via AWS Lambda for optimized MP4 generation.
- Intelligent intent classification that maps natural language prompts to specific API actions like state queries or exports.
- Multi-track composition support allowing for simultaneous video, audio, and text overlay management.
- Automatic attribution header detection based on the installation environment of Openclaw Skills.
SKILL.md
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