A powerful AI-driven video enhancement tool that applies professional visual effects to raw footage using a cloud-based GPU rendering pipeline.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-video-editor-effects
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-effects 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 Effects?
AI Video Editor Effects is a specialized skill designed to bridge the gap between raw video capture and professional-grade production. By leveraging Openclaw Skills, this tool integrates directly with cloud GPU nodes to perform complex video compositing, layer processing, and platform-specific compression (H.264) at scale. It is particularly effective for social media creators looking to automate high-fidelity edits like cinematic color grading and motion blur without manual keyframing.
The skill operates through a session-based architecture, ensuring that video timelines, tracks, and metadata are preserved throughout the editing process. Whether you are working with MP4, MOV, or WebM files, this skill provides a seamless interface for transforming 1080p clips in under 90 seconds, making it an essential asset for rapid content iteration.
AI Video Editor Effects Use Cases
- Automatically adding cinematic color grading and motion blur to vlog footage.
- Applying glitch transitions and text overlays for TikTok or Instagram Reel content.
- Converting raw video formats into optimized 1080p MP4 files for platform distribution.
- Batch processing multiple media files within a single session for consistent styling.
- Iterative editing where users refine a timeline through natural language instructions.
How AI Video Editor Effects Works
- Authentication: The skill establishes a connection using a NEMO_TOKEN or generates an anonymous client identifier for temporary access.
- Session Initiation: A unique session is created on the cloud rendering server to track the project's state and timeline.
- Media Upload: Raw video files are uploaded via multipart form data or referenced via external URLs.
- Intent Processing: User commands are routed through an SSE (Server-Sent Events) stream where natural language is translated into specific editing actions.
- Cloud Rendering: The backend composites video layers and applies AI effects on dedicated GPU nodes.
- Export and Delivery: The system polls the render status and provides a high-quality MP4 download URL once completion is confirmed.
AI Video Editor Effects Setup
To use this Openclaw Skills enhancement, ensure your environment is configured:
# Set your API token (required for export)
export NEMO_TOKEN="your_nemo_token_here"
# The skill automatically looks for config in:
# ~/.config/nemovideo/
If no token is provided, the skill will automatically attempt to generate an anonymous token with 100 credits for immediate use.
AI Video Editor Effects Data Schema & Taxonomy
The skill manages data through a structured session state and draft JSON format:
| Component | Key | Description |
|---|---|---|
| Tracks | t |
Array of media tracks (Video, Audio, or Text) |
| Track Type | tt |
0 = Video, 1 = Audio, 7 = Text |
| Segments | sg |
Individual clips within a track |
| Duration | d |
Segment length measured in milliseconds |
| Metadata | m |
Technical properties of the media assets |
All generated media is tracked in the generated_media array within the session state for easy retrieval.
AI Video Editor Effects Advanced Features
- Multi-agent support via session-based state management for collaborative editing flows.
- SSE stream monitoring with automated heartbeat checks and status updates.
- Support for advanced video codecs and containers including WebM, MKV, and various image formats.
- Attribution header injection (
X-Skill-Source) for tracking performance across different IDEs like Cursor or Clawhub. - Automated credit balance monitoring and re-authentication handling for 7-day token lifecycles.
SKILL.md
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