A comprehensive toolkit for automating video conversion, platform-specific repurposing, and AI-powered captioning using FFmpeg and Whisper.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 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 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 Video Processing & Optimization Skill?
The Video skill is a robust toolset designed for Openclaw Skills that enables AI agents to handle complex video editing and optimization tasks locally. By leveraging powerful backend tools like FFmpeg and ffprobe, it allows developers to automate format conversions, file compression, and content repurposing for various social media platforms.
This skill focuses on efficiency and quality, providing the logic and commands necessary to ensure high-quality output while adhering to specific platform constraints. Whether you are building automated media pipelines or need a quick way to prep content for mobile, this skill integrates seamlessly into your Openclaw Skills workflow to provide professional-grade video manipulation capabilities.
Video Processing & Optimization Skill Use Cases
- Repurposing horizontal video content for vertical formats like TikTok, YouTube Shorts, and Instagram Reels.
- Compressing large video files for sharing via messaging apps like WhatsApp with specific file size limits.
- Generating and burning in subtitles using Whisper AI transcription for localized content.
- Batch processing folders of video files to ensure consistent codec, resolution, and audio standards.
- Extracting high-quality audio tracks or creating optimized GIFs from specific video segments.
How Video Processing & Optimization Skill Works
- Clarify the target platform and specific output requirements such as file size limits, resolution, or duration.
- Analyze the source media using ffprobe to extract technical metadata including codec, bitrate, and duration.
- Execute precise FFmpeg commands to transform the media, including cropping for aspect ratios or adjusting CRF for compression.
- Verify the processed file against the initial requirements to ensure compatibility and playability.
- Deliver the final optimized file to the user for immediate deployment.
Video Processing & Optimization Skill Setup
To get started with this skill in your Openclaw Skills environment, ensure you have the core binaries installed on your system.
# Install FFmpeg and FFprobe (Required)
# For macOS:
brew install ffmpeg
# For Ubuntu/Debian:
sudo apt update && sudo apt install ffmpeg
# For Windows:
# Download binaries from ffmpeg.org and add to your PATH
For enhanced functionality, you can install optional dependencies:
# Install Whisper for AI-powered captioning
pip install openai-whisper
Video Processing & Optimization Skill Data Schema & Taxonomy
The skill utilizes a structured documentation system to manage complex FFmpeg parameters and platform requirements efficiently within the Openclaw Skills framework.
| Resource | Description |
|---|---|
platforms.md |
Specific technical specs for YouTube, TikTok, Instagram, and WhatsApp. |
commands.md |
A library of curated FFmpeg command templates for various tasks. |
quality.md |
Optimization guidelines for compression and bitrate management. |
workflows.md |
Step-by-step procedures for common media processing use cases. |
Video Processing & Optimization Skill Advanced Features
- Local AI transcription and caption burning using Whisper integration for privacy-focused workflows.
- AI-powered upscaling capabilities with optional realesrgan support.
- Smart reframing logic to handle complex aspect ratio conversions (e.g., 16:9 to 9:16).
- Automated batch operations to process entire directories of assets in a single run.
- Custom encoding profiles using CRF (Constant Rate Factor) to balance quality and file size.
SKILL.md
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