A cloud-powered AI video editor that transforms raw footage into polished TikTok content with simple text commands.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tiktok-editor-ai
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 tiktok-editor-ai 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 TikTok Editor AI?
TikTok Editor AI is a robust tool designed for creators who need to turn raw video files into professional social media content without local rendering. By leveraging high-performance cloud GPU nodes, this Openclaw Skills integration handles complex tasks like cutting, captioning, and adding background music through natural language instructions.
The skill supports a wide variety of input formats including MP4, MOV, AVI, and WebM, outputting vertical 9:16 videos at 1080p resolution. It is specifically optimized for TikTok, Instagram Reels, and YouTube Shorts, providing a seamless workflow from file upload to final export within a single AI agent session.
TikTok Editor AI Use Cases
- Trimming long vertical phone recordings into the best 30-second highlights for social media.
- Automatically adding trending captions and background music to raw clips using natural language.
- Batch processing multiple video files within a single session using consistent styling instructions.
- Iterative video editing where users refine the timeline state and preview changes over several prompts.
How TikTok Editor AI Works
- The user provides raw video footage and specific editing instructions via the chat interface.
- The skill authenticates using a NEMO_TOKEN and initializes a cloud-based editing session.
- Raw footage is uploaded to a remote GPU-accelerated pipeline for secure processing.
- Natural language prompts are converted into timeline edits including tracks, segments, and effects via Server-Sent Events.
- The cloud node composites the video layers and renders a high-quality 1080p MP4 file.
- A final download link is generated and returned to the user to retrieve the finished video.
TikTok Editor AI Setup
To start using TikTok Editor AI within Openclaw Skills, ensure your environment is ready for cloud connection. The skill handles most configuration automatically on its first run.
# The skill automatically attempts to find or generate a NEMO_TOKEN
# If you have an existing token, you can set it manually:
export NEMO_TOKEN="your_token_here"
# Configuration files are stored in:
# ~/.config/nemovideo/
On first use, the skill will create an anonymous token if none is found, providing 100 free credits to get started.
TikTok Editor AI Data Schema & Taxonomy
The skill organizes its video projects using a structured session-based approach to maintain the timeline state.
| Component | Description |
|---|---|
| Session ID | A unique identifier used for all operations within a specific project. |
| Draft JSON | A lightweight data structure using short keys (t: tracks, tt: type, sg: segments) to manage the timeline. |
| Track Metadata | Categorizes elements into Video (type 0), Audio (type 1), and Text (type 7). |
| File Support | Accepts uploads up to 500MB in formats like MP4, MOV, AVI, WebM, and MKV. |
| Render Output | Generates 1080x1920 MP4 files using H.264 compression for maximum compatibility. |
TikTok Editor AI Advanced Features
- Real-time session state polling to verify complex edits even when the SSE stream is silent.
- Multi-track management allowing for sophisticated layering of video, background audio, and text overlays.
- Automated anonymous token generation with a registration link for account binding and credit management.
- Intelligent intent classification that routes prompts like export, status, or balance to specialized API actions.
- Support for multi-agent workflows where video processing is one part of a larger content creation pipeline.
SKILL.md
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