A sophisticated AI video processing skill that edits, brands, and exports polished service videos via natural language prompts and remote GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install services-video
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 services-video 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 Services Video?
Services Video is a specialized tool within the Openclaw Skills ecosystem designed to eliminate the steep learning curve of professional editing software. By utilizing remote GPU nodes, the skill handles heavy AI video processing tasks like trimming awkward pauses, adding branded intros, and compositing layers entirely in the cloud. This allows users to transform raw footage into professional service demos or marketing clips using simple text instructions, providing a high-performance alternative to local video editors.
This skill is particularly valuable for developers and marketers who need to produce consistent, high-quality video content without investing in expensive hardware. As a part of the Openclaw Skills library, it offers a seamless integration for automated media workflows, ensuring that every export meets modern platform standards for both quality and retention.
Services Video Use Cases
- Trimming silent pauses and filler content from raw service walkthroughs.
- Automatically adding branded intros and outros to product demonstration videos.
- Converting and compressing large video files into web-optimized 1080p MP4 formats.
- Batch processing multiple video assets with consistent styles for service pages.
- Iterative video refinement where the AI agent maintains a timeline state for ongoing edits.
How Services Video Works
- The skill initializes a secure session by authenticating with a NEMO_TOKEN and establishing a unique session ID.
- Users upload raw footage (up to 500MB) which is stored temporarily in the cloud render pipeline.
- Natural language prompts are analyzed to map user intent to specific editing actions like 'trim', 'add text', or 'export'.
- Commands are sent via an SSE (Server-Sent Events) stream to remote GPU nodes that perform the heavy lifting of video compositing.
- The skill polls the server-side status to track the progress of the render job until completion.
- A final download URL is provided to the user, delivering the processed video in the requested format.
Services Video Setup
To integrate this functionality into your environment using Openclaw Skills, ensure your authentication token is configured correctly.
# Set your environment variable for authentication
export NEMO_TOKEN="your_access_token_here"
# The skill will automatically manage session state and
# configuration within the ~/.config/nemovideo/ directory.
Services Video Data Schema & Taxonomy
The skill organizes video projects using a structured session-based draft system. Below is how the internal state and metadata are taxonomized:
| Key | Component | Description |
|---|---|---|
session_id |
Project Identity | Links all assets and edits to a specific rendering task. |
t |
Track Layering | Organizes media into Video (0), Audio (1), and Text (7) tracks. |
sg |
Segments | Defines the start and end points for every clip in the timeline (ms). |
video_infos |
Asset Metadata | Stores resolution, frame rate, and codec information for source files. |
output |
Render Spec | Defines the final export quality, format (MP4/MOV), and bit rate. |
Services Video Advanced Features
- Server-side GPU rendering that bypasses local hardware limitations for complex exports.
- Intelligent intent mapping that translates UI-based instructions into precise timeline API calls.
- Support for multi-track editing, allowing simultaneous manipulation of audio, overlays, and video layers.
- Automatic session persistence, enabling users to return to a project and refine edits without re-uploading assets.
- High-performance SSE streaming for real-time feedback during long-running AI video processing tasks.
- Extensive format support within the Openclaw Skills framework, including MP4, WebM, MOV, and various audio codecs.
SKILL.md
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