A cloud-powered video editing skill that enables AI agents to trim, caption, and format videos specifically for Facebook marketing campaigns.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editor-ai-facebook
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 editor-ai-facebook 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 AI Editor for Facebook?
The AI Editor for Facebook is a specialized tool within the Openclaw Skills library designed for marketers and content creators who need to transform raw footage into platform-optimized videos. It leverages remote GPU nodes to process raw video files—up to 500MB—into polished, Facebook-ready videos at 1080p resolution. By integrating this skill, users can automate complex editing tasks like adding captions or adjusting aspect ratios through simple natural language commands.
This skill eliminates the need for high-end local hardware by offloading all rendering tasks to the cloud. Whether you are creating short-form ads or long-form posts, the AI Editor for Facebook ensures high-quality H.264 output that meets the specific technical requirements of the Facebook feed, all within a developer-friendly AI agent workflow.
AI Editor for Facebook Use Cases
- Automating video trimming and captioning for high-frequency Facebook posting schedules.
- Reformatting widescreen raw clips into 1:1 square videos for better mobile engagement on Facebook feeds.
- Rapidly generating multiple versions of Facebook ads from a single raw source using cloud-based GPU rendering.
- Processing batch video uploads for social media campaigns via automated AI agent instructions.
How AI Editor for Facebook Works
- Initialize a connection using a NEMO_TOKEN or generate an anonymous token to access the backend API.
- Establish a project session to maintain state across the editing lifecycle and track user changes.
- Upload raw video assets in supported formats like MP4, MOV, or AVI to the remote storage server.
- Send natural language instructions via Server-Sent Events (SSE) to trigger AI-driven edits such as trimming, adding BGM, or text overlays.
- Queue a render job on a cloud GPU node to composite the video layers and apply platform-specific compression.
- Poll the export endpoint for status updates and retrieve the final 1080p MP4 download URL once the render is complete.
AI Editor for Facebook Setup
To use this within the Openclaw Skills framework, ensure the NEMO_TOKEN environment variable is configured in your environment.
export NEMO_TOKEN="your_api_token_here"
If no token is provided, the skill will automatically attempt to acquire a free starter token via the anonymous-token endpoint. The skill requires configuration paths at ~/.config/nemovideo/ to persist session data and client identifiers.
AI Editor for Facebook Data Schema & Taxonomy
The skill manages video timelines using a structured JSON draft schema. This allows Openclaw Skills to maintain precise control over media tracks.
| Key | Type | Description |
|---|---|---|
| t | Array | List of timeline tracks (Video, Audio, Text) |
| tt | Integer | Track type identifier (0=video, 1=audio, 7=text) |
| sg | Array | Segments defining start/end times and source media |
| d | Long | Total duration of the segment in milliseconds |
| m | Object | Metadata including asset dimensions and resource URLs |
AI Editor for Facebook Advanced Features
- Multi-track layering support for simultaneous background music, dynamic captions, and video overlays.
- Real-time session state persistence allowing for iterative editing without needing to re-upload large source files.
- Automated platform-specific formatting specifically tuned for Facebook H.264 codec requirements.
- High-performance cloud rendering that offloads compute-intensive tasks from the local agent to remote GPU nodes.
SKILL.md
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