An automated AI video editing skill that trims silence, adds background music, and exports high-quality clips in seconds via natural language commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kami-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 kami-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 Kami Video — AI Video Editing and Export?
Kami Video is a sophisticated Openclaw Skills integration designed to eliminate the steep learning curve of professional video editing software. By leveraging a cloud-based GPU rendering pipeline, it allows developers and content creators to edit footage through simple natural language descriptions. Whether you need to trim dead air, overlay text, or mix audio tracks, the AI handles the heavy lifting, returning polished 1080p MP4 files.
The skill connects directly to the Nemo Video API, providing a seamless bridge between raw file uploads and final production-ready exports. It is specifically optimized for short-form content, making it an essential tool for social media managers and creators who require rapid turnaround times without sacrificing quality.
Kami Video — AI Video Editing and Export Use Cases
- Automatically trimming silent sections from raw vlogs or tutorial recordings.
- Adding background music tracks with specific volume leveling (e.g., Lo-fi at 35% volume).
- Creating quick social media exports in 1080p MP4 format from mobile phone footage.
- Batch processing multiple video assets within a single session for consistent styling.
- Iterative editing where you refine a rough cut through sequential natural language instructions.
How Kami Video — AI Video Editing and Export Works
- Authentication: The skill initializes by checking for a NEMO_TOKEN or generating an anonymous session token for the user.
- Session Creation: A unique task session is established with the cloud backend to track the video timeline and state.
- Media Upload: Users provide raw files (up to 500MB) via multipart upload or direct URL ingestion.
- Instruction Processing: Natural language prompts are sent via an SSE (Server-Sent Events) stream to the AI, which translates requests into timeline modifications.
- Timeline Management: The backend manages a complex draft schema involving video, audio, and text tracks.
- Rendering & Export: A cloud GPU node composites the layers and renders the final file, providing a download URL once completed.
Kami Video — AI Video Editing and Export Setup
To get started with this Openclaw Skills component, ensure your environment is configured:
# Set your API token
export NEMO_TOKEN="your_nemo_token_here"
# The skill will automatically initialize a session on first use.
# If no token is found, it will attempt to generate an anonymous token.
Required Headers for API Calls:
X-Skill-Source: kami-videoX-Skill-Version: 1.0.0Authorization: Bearer
Kami Video — AI Video Editing and Export Data Schema & Taxonomy
The skill utilizes a structured mapping for video projects, enabling precise control over the cloud rendering engine:
| Key | Mapping | Description |
|---|---|---|
t |
Tracks | The collection of all media layers in the project. |
tt |
Track Type | 0 for Video, 1 for Audio, 7 for Text overlays. |
sg |
Segments | Specific time-slices of media on the timeline. |
d |
Duration | Time measured in milliseconds (ms). |
m |
Metadata | Technical details regarding resolution and encoding. |
Kami Video — AI Video Editing and Export Advanced Features
- Real-time SSE Monitoring: Built-in handling for Server-Sent Events to provide live status updates during complex AI edit operations.
- State Persistence: The skill tracks
session_idto allow for iterative editing without losing progress between commands. - Automatic Translation: Maps GUI-centric backend responses (like "click button") into actionable API calls.
- Multi-Format Support: Wide compatibility across MP4, MOV, AVI, WebM, and various audio/image formats.
- Cloud Rendering Pipeline: Offloads intensive video processing to remote GPU nodes to save local compute resources.
SKILL.md
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