A cloud-based AI video editing tool designed to transform raw clips into high-quality Facebook posts and ads in under 60 seconds.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install facebook-editor-ai
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 facebook-editor-ai 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 Facebook Editor AI?
Facebook Editor AI is a specialized tool within the Openclaw Skills ecosystem designed for marketers and page owners. It leverages cloud GPU nodes to handle intensive video processing, allowing users to upload raw footage and receive polished, 1080p MP4 exports without needing local high-end hardware. The skill excels at automating repetitive tasks like trimming, captioning, and resizing specifically for Facebook's feed requirements.
By integrating this skill, developers and creators can utilize a robust API-driven pipeline that supports a wide range of formats including MP4, MOV, and WebM. The system uses intent classification to map natural language prompts to complex video editing actions, ensuring a seamless bridge between user requests and technical execution.
Facebook Editor AI Use Cases
- Trimming long raw footage into concise clips for Facebook stories or feed posts.
- Automatically adding text overlays and captions to improve engagement on silent-play videos.
- Resizing landscape videos into 1:1 square formats for optimal Facebook mobile performance.
- Batch processing multiple video assets within a single session for consistent brand styling.
- Converting high-bitrate AVI or MOV files into platform-optimized H.264 MP4 files.
How Facebook Editor AI Works
- The user provides a raw video file and a natural language instruction to the Openclaw Skills interface.
- The skill establishes a secure connection to the Nemo Video backend using a NEMO_TOKEN or an anonymous UUID.
- A project session is created, initializing a timeline that tracks video, audio, and text layers.
- Instructions are processed via an SSE (Server-Sent Events) stream, where the AI interprets edits like 'trim' or 'resize'.
- The job is queued on a cloud GPU node which composites the layers and applies H.264 compression.
- Once rendering is complete, the skill provides a direct download URL for the optimized 1080p MP4 file.
Facebook Editor AI Setup
To use this skill, ensure your environment is configured with the necessary credentials. Follow these steps to get started with Openclaw Skills:
# Set your API token
export NEMO_TOKEN="your_token_here"
# Create a configuration directory if it doesn't exist
mkdir -p ~/.config/nemovideo/
# The skill will automatically handle anonymous token generation
# if NEMO_TOKEN is not found in your environment.
Facebook Editor AI Data Schema & Taxonomy
The skill manages video data through a structured timeline draft. Data is organized using a specific mapping system within the Openclaw Skills framework:
| Field | Description | Taxonomy |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Start/End points in milliseconds |
d |
Duration | Total length of the asset in ms |
m |
Metadata | File properties and codec info |
Facebook Editor AI Advanced Features
- Multi-track compositing allowing simultaneous background music, video overlays, and text titles.
- Real-time session state polling to recover or refine edits if a connection is interrupted.
- Support for professional-grade formats including MKV, AAC, and WAV for high-fidelity audio syncing.
- Intelligent intent classification that translates GUI-style commands (like 'drag' or 'drop') into precise API calls.
- Automated credit balance management with simple status checks for high-volume users.
SKILL.md
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