A comprehensive local video processing toolkit for Openclaw Skills powered by moviepy and ffmpeg for automated content creation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install doorstep-video-editor
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 doorstep-video-editor 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 Editor Skill?
The Video Editor skill is a robust, local-first utility designed for AI agents to perform complex video manipulation tasks. By integrating moviepy and ffmpeg, this skill allows users to handle everything from basic trimming and merging to advanced operations like adding Chinese text overlays and subtitle synchronization. It is an essential component for developers building automated content pipelines with Openclaw Skills.
Because it runs entirely on local infrastructure, it ensures data privacy and eliminates the need for expensive third-party video editing APIs. It is particularly effective for generating vertical short-form content for platforms like Douyin and Xiaohongshu, providing a seamless bridge between raw assets and polished results.
Video Editor Skill Use Cases
- Trimming specific time segments from long-form video recordings.
- Merging multiple video clips into a single cohesive file for social media.
- Adding stylized Chinese text and subtitles for localized video content.
- Resizing horizontal footage into vertical 1080x1920 formats for mobile apps.
- Extracting audio from videos or replacing original tracks with new background music.
How Video Editor Skill Works
- The AI agent identifies the video processing intent through triggers like trim, merge, or subtitles.
- The script accesses local video files using the moviepy v2 library and identifies the necessary ffmpeg binaries.
- Based on the specific command, the tool applies transformations such as temporal clipping, spatial resizing, or audio mixing.
- For text-based tasks, the skill utilizes Pillow and NumPy to render high-quality Chinese characters onto the video frames.
- The finalized video is rendered locally and exported to the designated output path for immediate use.
Video Editor Skill Setup
To enable this skill within your Openclaw Skills environment, ensure you have the necessary Python dependencies installed:
pip install moviepy pillow numpy imageio-ffmpeg
You will also need to have the core script located in your project directory. Basic usage for metadata inspection is as follows:
python scripts/video_editor.py info "your_video.mp4"
Video Editor Skill Data Schema & Taxonomy
The skill utilizes standardized JSON formats for complex tasks like subtitling and returns metadata in a clean structure:
| Data Type | Description | Format |
|---|---|---|
| Subtitles | Timing and text data | JSON Array of objects (start, end, text) |
| Video Info | Metadata like resolution and FPS | Standard CLI Output |
| File Paths | Input and Output locations | Local String Paths |
Example Subtitle Format:
[
{"start": 0, "end": 2.5, "text": "Intro text here"}
]
Video Editor Skill Advanced Features
- Pure text-to-video generation that creates talking-head style videos from a script.
- High-precision audio replacement with volume attenuation for background music.
- Automated vertical screen conversion for mobile-first content delivery.
- Support for multi-clip sequencing and batch merging for efficient workflows.
- Localized rendering support for Chinese font families and character sets.
SKILL.md
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