An AI-powered video editing extension for Openclaw Skills that automatically sources and inserts relevant b-roll footage into raw videos to cover cuts and pauses.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-video-editor-b-roll
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 ai-video-editor-b-roll 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 Video Editor B-Roll?
The AI Video Editor B-Roll is a specialized tool for Openclaw Skills designed to streamline the post-production workflow for YouTubers and content creators. By leveraging cloud-based GPU nodes, this skill analyzes raw footage (up to 500MB) and intelligently inserts relevant b-roll clips to mask jump cuts, silences, or awkward pauses. It eliminates the need for manual clip sourcing and timeline sliding, allowing users to transform raw talking-head videos into professional-grade content through simple natural language commands.
This extension interfaces directly with a high-performance rendering backend to deliver 1080p MP4 exports server-side. Whether you are working with MP4, MOV, or WebM files, the AI handles the heavy lifting of composition and compression. By integrating this capability into Openclaw Skills, developers and creators can automate their video editing pipeline with high precision and minimal local resource consumption.
AI Video Editor B-Roll Use Cases
- YouTubers looking to hide jump cuts in talking-head videos with seamless b-roll overlays.
- Rapid production of narrated social media content where manual b-roll sourcing is too time-consuming.
- Iterative video prototyping where users can refine AI-generated timelines via natural language.
- Batch processing raw footage clips into polished, ready-to-post video files.
How AI Video Editor B-Roll Works
- The skill initializes by checking for a NEMO_TOKEN in the environment or generating an anonymous token for Openclaw Skills users.
- A unique project session is created to track the video timeline, layers, and asset metadata.
- Raw footage is uploaded to the cloud processing backend via a multipart form or source URL.
- Natural language prompts are sent via Server-Sent Events (SSE) to trigger the AI b-roll insertion logic.
- The AI identifies pauses or thematic cues in the video and inserts matching b-roll segments into the timeline draft.
- A cloud GPU node renders the final project, applying H.264 compression and generating a 1080p MP4 download link.
AI Video Editor B-Roll Setup
To get started with this extension for Openclaw Skills, ensure you have your environment configured. The skill will automatically handle session creation upon the first prompt.
# Ensure your environment is ready
export NEMO_TOKEN="your_token_here"
# The skill handles the following internal setup flow:
# 1. POST to /api/auth/anonymous-token if no token exists
# 2. POST to /api/tasks/me/with-session/nemo_agent to start a project
Once installed in your local directory (e.g., ~/.clawhub/), simply share your raw footage and command the agent to 'automatically find and insert relevant b-roll footage'.
AI Video Editor B-Roll Data Schema & Taxonomy
The skill organizes video data using a structured session state that tracks the following components:
| Component | Description |
|---|---|
| Draft | A JSON object containing track arrays (tt: 0=video, 1=audio, 7=text) and segment durations (d). |
| Video Infos | Metadata regarding the source footage including resolution, framerate, and codec. |
| Generated Media | A library of AI-sourced b-roll clips utilized in the current project session. |
| Session ID | A persistent identifier used to maintain timeline state across multiple prompts. |
AI Video Editor B-Roll Advanced Features
- Server-side GPU rendering providing high-speed 1080p MP4 exports without local CPU load.
- Real-time SSE (Server-Sent Events) monitoring for live updates on AI editing progress.
- Multi-track support for simultaneous management of background music (BGM), text overlays, and video layers.
- Automatic credit management and anonymous authentication for seamless onboarding within Openclaw Skills.
- Intelligent intent classification to route prompts between export, upload, and generation actions.
SKILL.md
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