A high-performance media processing skill that leverages the FFHub.io API to execute FFmpeg commands in the cloud.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ffhub-ffmpeg
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 ffhub-ffmpeg 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 FFmpeg Cloud Media Processing?
This skill empowers developers and users to perform complex media operations without needing local FFmpeg installations or high-end hardware. By leveraging the FFHub.io cloud infrastructure, it enables high-performance video transcoding, audio extraction, and thumbnail generation directly through an AI agent. This integration ensures that media tasks are handled efficiently with scalable cloud resources, providing a robust solution for any media-heavy workflow.
Using this capability within Openclaw Skills allows for automated media processing pipelines. Whether you need to resize a batch of videos for mobile devices or extract soundtracks from clips, the skill manages the entire lifecycle—from secure file upload to final download link generation—abstracting away the complexity of command-line arguments and cloud networking.
FFmpeg Cloud Media Processing Use Cases
- Compressing large video files for web delivery or storage optimization.
- Extracting high-quality audio tracks from video files into MP3, FLAC, or AAC formats.
- Generating video thumbnails or animated GIFs for social media previews and content marketing.
- Trimming or cutting specific segments from long recordings to isolate highlights.
- Converting legacy video formats like AVI or MOV to modern, web-friendly MP4 or WebM containers.
How FFmpeg Cloud Media Processing Works
- The skill analyzes the user request to identify the source file and the desired media operation.
- If the source is a local file, it is automatically uploaded to FFHub storage to generate a temporary public URL.
- The skill constructs a valid FFmpeg command optimized for the FFHub.io cloud API environment.
- A transcoding task is created, and the command is executed on high-performance cloud servers.
- The skill monitors the task status via an intelligent polling loop, providing progress updates in real-time.
- Once processing is complete, the skill provides the user with secure download URLs and file metadata.
FFmpeg Cloud Media Processing Setup
To get started with this skill, you must configure your API credentials from FFHub.io.
- Sign up for an account at https://ffhub.io.
- Navigate to Settings > API Keys and generate a new key.
- Set the API key as an environment variable in your system:
export FFHUB_API_KEY=your_actual_api_key_here
- You can verify the setup by running:
echo $FFHUB_API_KEY
FFmpeg Cloud Media Processing Data Schema & Taxonomy
The skill manages media data through a structured exchange with the FFHub API. Below is the metadata taxonomy used during processing:
| Attribute | Type | Description |
|---|---|---|
| task_id | String | The unique identifier for the cloud processing job. |
| status | Enum | Current state of the job (pending, running, completed, failed). |
| progress | Integer | Completion percentage (0-100). |
| url | String | The public HTTPS link to the input or output file. |
| expires_at | ISO8601 | Timestamp indicating when the temporary file will be deleted. |
| metadata | Object | Technical details including bitrate, resolution, and duration. |
FFmpeg Cloud Media Processing Advanced Features
- Multi-part upload support for large media files up to 1GB.
- Intelligent polling with a 5-minute timeout to handle complex, long-running transcoding jobs.
- Metadata-rich responses providing deep technical insights into the output files.
- Support for a wide array of encoders including libx264, libvpx, and libmp3lame.
- Seamless integration with Openclaw Skills allowing for multi-step media automation workflows.
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