A cloud-powered AI video editing assistant that turns raw iPhone recordings into polished 1080p MP4 clips via simple text commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-video-editor-ios
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-ios 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 iOS?
AI Video Editor iOS is a specialized tool within the Openclaw Skills ecosystem designed for creators who need professional video editing without the complexity of desktop software. By leveraging high-performance cloud GPUs, this skill processes video layers, transitions, and text overlays entirely in the cloud, removing the hardware limitations typically associated with mobile editing.
Users can interact with the editor through natural language, bypassing traditional timeline dragging and manual export configurations. Whether you need to trim a 60-second iPhone recording into a 1080p MP4 or add background music and titles, the skill automates the entire render pipeline to deliver high-quality results in 30-60 seconds.
AI Video Editor iOS Use Cases
- Rapidly editing iPhone videos quickly without a desktop app for social media content.
- Converting raw mobile footage into high-quality 1080p MP4 files with transitions.
- Adding text overlays, titles, and background music (BGM) through text-based instructions.
- Batch processing multiple video files within a single session for consistent styling.
- Iterative refining of video drafts using a persistent cloud-based timeline state.
How AI Video Editor iOS Works
- Authentication & Session Initiation: The skill automatically checks for a NEMO_TOKEN or generates an anonymous token and starts a project session on the cloud backend.
- Media Upload: The user uploads raw video footage (up to 500MB) which is stored in the session's cloud-based draft state.
- Intent Processing: Natural language prompts are analyzed to trigger specific editing actions like trimming, adding transitions, or adjusting aspect ratios.
- Cloud Render Pipeline: Instructions are sent via SSE (Server-Sent Events) to a GPU node that composites video layers and applies H.264 compression.
- State Monitoring: The skill tracks the draft JSON, monitoring tracks, segments, and metadata to ensure all edits are correctly applied to the timeline.
- Export & Delivery: The final 1080p video is rendered on a Lambda proxy and provided as a direct download URL for the user.
AI Video Editor iOS Setup
To use this Openclaw Skills integration, ensure your environment is configured with the necessary API tokens.
# Set your Nemo API token
export NEMO_TOKEN="your_token_here"
# The skill will automatically handle session creation
# and connect to https://mega-api-prod.nemovideo.ai
AI Video Editor iOS Data Schema & Taxonomy
The skill organizes video data using a structured JSON draft format with shortened keys for low-latency updates:
| Key | Definition | Description |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Specific clips within a track |
d |
Duration | Length of segment in milliseconds |
m |
Metadata | Technical file info and properties |
AI Video Editor iOS Advanced Features
- Multi-Track Support: Handles complex timelines involving simultaneous video, BGM, and text layers.
- GPU Cloud Rendering: Offloads heavy processing to Lambda-based GPU proxies for high-speed 1080p exports.
- Persistent Sessions: Maintains the state of your project across interactions, allowing for iterative editing without re-uploading files.
- Automatic GUI Translation: Converts backend interface commands (like "click" or "drag") into executable API actions.
- Smart Status Polling: Automatically monitors render progress every 30 seconds to notify the user as soon as the download is ready.
SKILL.md
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