An intelligent AI-driven video assistant that handles trimming, captioning, and platform-specific editing workflows through natural language.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-video-editor-app
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-app 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 App?
The AI Video Editor App is a comprehensive post-production assistant designed to eliminate the manual drudgery of video editing. By utilizing Openclaw Skills, this tool allows users to describe their creative vision and receive fully structured edit plans, including scene-by-scene breakdowns, b-roll suggestions, and optimized scriptwriting. It is specifically engineered for creators who need to move from raw footage to shareable assets without spending hours on a traditional timeline.
This skill acts as a bridge between your raw media and high-end cloud processing, enabling automated enhancements like color grading, AI-driven upscaling, and codec-level optimization. Whether you are building a product demo or a social media highlight reel, the AI Video Editor App provides a software-agnostic blueprint that can be executed across any major editing platform.
AI Video Editor App Use Cases
- Content creators looking to generate timestamped cut lists and hook ideas for YouTube.
- Social media managers repurposing long-form webinars into optimized clips for TikTok, Reels, and Shorts.
- Marketing teams crafting polished product demos with AI-suggested call-to-action placements.
- Podcasters extracting high-impact, shareable video moments with automated on-screen text.
How AI Video Editor App Works
- Initialize the session by connecting to the backend via a NEMO_TOKEN or anonymous authorization.
- Create a project session which establishes a unique environment for your video assets and metadata.
- Input your footage descriptions or upload files to the distributed cloud processing nodes.
- Interact via Server-Sent Events (SSE) to receive real-time updates on edit drafts, track summaries, and AI suggestions.
- Refine the timeline by requesting specific changes like background music adjustments or caption styling.
- Trigger the export pipeline to render the final video in high-quality formats such as mp4 or mov.
AI Video Editor App Setup
To get started with this project using Openclaw Skills, you must configure your environment to communicate with the processing API. Set your token as an environment variable or allow the skill to provision an anonymous session.
# Set your API token
export NEMO_TOKEN="your_nemo_api_token"
# Ensure configuration directories exist
mkdir -p ~/.config/nemovideo/
The skill will automatically handle session creation and client identification during the first interaction.
AI Video Editor App Data Schema & Taxonomy
The skill manages video data using a structured draft schema that maps directly to the cloud rendering engine. This ensures consistent metadata across the editing lifecycle:
| Key | Mapping | Description |
|---|---|---|
t |
Tracks | The collection of video, audio, and text layers. |
tt |
Track Type | Identifies layer type (0=Video, 1=Audio, 7=Text). |
sg |
Segments | The specific clip intervals and duration data. |
d |
Duration | Length of the media segment in milliseconds. |
m |
Metadata | Technical properties including resolution and bitrate. |
AI Video Editor App Advanced Features
- Multi-agent support for parallel processing of different aspect ratios and platform formats.
- Real-time heartbeat monitoring to maintain long-running video inference tasks.
- Automatic credit management and session persistence across multiple editing sessions.
- Cloud-based render optimization that handles resource-intensive frame analysis and AI upscaling.
SKILL.md
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