A high-performance media utility for instant local video trimming and AI-driven highlight extraction.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-clip
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-clip 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 Clip?
The Video Clip skill provides a robust interface for manipulating video assets directly within your agent environment. It serves as a bridge between low-level media processing and high-level AI orchestration, offering two distinct paths for video editing. For standard trimming tasks, it utilizes local resources to perform stream-copy operations that are near-instant and require no external API calls. This makes it a highly efficient component of the Openclaw Skills ecosystem.
Beyond simple cuts, the skill features a sophisticated AI Edit integration. By leveraging the Sparki AI engine, users can move beyond timestamp-based trimming to semantic video editing. This allows for the automated creation of highlight reels, cinematic summaries, and social-media-ready clips based on the actual content of the video rather than just chronological markers.
Video Clip Use Cases
- Extracting specific scenes or interviews from long-form footage using precise timestamps.
- Automating the removal of intros and outros from recorded meetings or webinars.
- Generating smart highlight reels from raw footage for quick social media sharing.
- Creating cinematic summaries of events using AI-powered style templates.
How Video Clip Works
- The user specifies a source video file and the desired time range (start and end/duration).
- The skill invokes a local ffmpeg process to perform a stream copy, ensuring no loss in quality and near-instant completion.
- If intelligent editing is requested, the skill initiates a multi-stage cloud workflow: uploading the asset, polling for processing status, and creating an AI project.
- The Sparki AI engine analyzes the video content based on user-defined prompts and style IDs (e.g., energetic, cinematic).
- The skill returns the final file path for local clips or a secure 24-hour download URL for AI-processed assets.
Video Clip Setup
To use the local trimming features, ensure ffmpeg is installed on your system:
# For macOS users
brew install ffmpeg
# For Linux users
sudo apt-get install ffmpeg
For advanced AI-powered editing, configure your environment with an API key as part of your Openclaw Skills setup:
openclaw config set env.SPARKI_API_KEY "sk_live_your_key_here"
Video Clip Data Schema & Taxonomy
The skill handles data through a combination of local file paths and remote object keys.
| Parameter | Type | Description |
|---|---|---|
input |
File Path | The source video file to be processed. |
start |
String | Start time in HH:MM:SS, MM:SS, or seconds. |
end |
String | End time or +N seconds for duration. |
output |
File Path | The destination for the trimmed local file. |
tips |
Integer | Style ID for AI editing (1=Fast, 2=Cinematic, 3=Highlights). |
result_url |
URL | The cloud location of the AI-generated video. |
Video Clip Advanced Features
- Lossless stream-copying for local edits, avoiding time-consuming re-encoding.
- Support for semantic prompts to guide the AI in identifying key insights or interesting moments.
- Custom aspect ratio configuration (e.g., 9:16) for automated vertical video generation.
- Built-in polling logic and timeout management for long-running cloud AI video projects.
- Seamless integration with the broader suite of Openclaw Skills for automated media workflows.
SKILL.md
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