An AI-powered video editing skill that trims and joins clips using simple natural language commands and cloud-based rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-trimmer-joiner
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 video-trimmer-joiner 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 Video Trimmer Joiner?
Video Trimmer Joiner is a sophisticated tool designed for the Openclaw Skills ecosystem that automates the tedious process of video editing. By leveraging a cloud rendering pipeline, it allows users to convert raw phone recordings into professional 1080p merged clips without manual timeline dragging. It handles everything from silence removal to aspect ratio adjustments and text overlays through a conversational interface.
This skill is particularly valuable for creators and developers who need fast, programmatic-style video processing. Instead of complex software, you simply describe the desired output, and the backend handles the composition of video layers and platform-specific compression using high-performance GPU nodes. It streamlines the workflow from upload to download in under 90 seconds.
Video Trimmer Joiner Use Cases
- Trimming silence or unwanted sections from multiple phone recordings automatically.
- Combining separate clips into a single, cohesive 1080p video for social media.
- Batch processing multiple video files within a single session with specific formatting instructions.
- Generating quick video exports without manually managing codecs, bitrates, or export settings.
- Iterative video refinement where natural language prompts are used to adjust background music or text overlays.
How Video Trimmer Joiner Works
- The skill initializes by checking for a NEMO_TOKEN or automatically generating an anonymous authentication token.
- A project session is created to track all operations, timeline states, and media assets.
- Users upload video or media files to the cloud rendering pipeline via multipart upload or external URL.
- Natural language prompts are sent through an SSE (Server-Sent Events) stream to process instructions such as trim and merge clips.
- Cloud GPU nodes composite the video layers, apply transitions, and update the internal draft state.
- An export job is queued to render the final MP4 file with H.264 compression.
- The skill polls the rendering status and provides a secure download URL once the status is completed.
Video Trimmer Joiner Setup
To get started with this skill within Openclaw Skills, ensure you have your environment configured. On first use, the skill can automatically provision an anonymous token.
# Set your token in the environment if you have one
export NEMO_TOKEN="your_nemo_token_here"
# The skill will automatically handle session creation via:
# POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent
Ensure your local configuration path ~/.config/nemovideo/ is accessible for session persistence and attribution.
Video Trimmer Joiner Data Schema & Taxonomy
The skill manages data through a structured session state and metadata taxonomy to ensure accurate rendering:
| Component | Key Field | Description |
|---|---|---|
| Session | session_id |
Persistent identifier for the current project timeline |
| Draft | data.state.draft |
JSON object mapping tracks, segments, and metadata |
| Track Types | tt |
0 for Video, 1 for Audio, 7 for Text |
| Media | video_infos |
Metadata regarding uploaded source files |
| Output | output.url |
The final rendered 1080p MP4 download link |
All metadata and skill attribution are tracked using custom headers including X-Skill-Source and X-Skill-Version.
Video Trimmer Joiner Advanced Features
- High-performance cloud GPU rendering for fast 1080p MP4 exports.
- Multi-track timeline support allowing simultaneous management of video, background music, and text layers.
- Real-time status tracking via SSE stream heartbeats to keep users informed during complex renders.
- Automatic anonymous token generation providing 100 free initial credits for Openclaw Skills users.
- Comprehensive media support for multiple formats including MOV, AVI, WebM, MKV, and various audio codecs.
SKILL.md
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