An AI-powered video editing skill that automates trimming, transitions, and cloud-based rendering for rapid content creation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-editing-with-fast
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-editing-with-fast 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 Editing With Fast?
Video Editing With Fast is a professional-grade Openclaw Skills integration designed for content creators who need to convert raw footage into polished video clips without the manual labor of traditional editing. By leveraging cloud GPU nodes, the skill handles intensive rendering tasks, allowing users to apply complex edits like silence removal and transition smoothing through simple natural language commands.
The skill supports a wide array of formats including MP4, MOV, AVI, and WebM, accommodating files up to 500MB. It bridges the gap between high-level creative intent and technical execution by translating user prompts into precise timeline actions, resulting in high-quality 1080p exports delivered in as little as 30 to 60 seconds.
Video Editing With Fast Use Cases
- Automatically trim silences and cut dead air from screen recordings or vlogs.
- Apply smooth transitions and text overlays to raw video footage using natural language.
- Batch process multiple video files within a single session for consistent styling.
- Rapidly prototype social media content by converting rough cuts into 1080p MP4 exports.
- Iterate on video drafts by maintaining a persistent timeline state for granular refinements.
How Video Editing With Fast Works
- Authentication: The skill checks for a NEMO_TOKEN or generates an anonymous 7-day token via a UUID-based handshake.
- Session Initiation: A project session is established with the backend to track the video timeline and state.
- Content Upload: Raw media is uploaded via multipart form data or direct URL ingestion to the cloud pipeline.
- AI Processing: User instructions are sent via a Server-Sent Events (SSE) stream, where AI interprets the edit requests and modifies the project draft.
- Timeline Management: The skill tracks video, audio, and text segments, mapping them to specific tracks and durations.
- Cloud Rendering: The final draft is queued on a GPU node for composition and H.264 compression.
- Delivery: The user receives a secure download URL for the completed 1080p MP4 file.
Video Editing With Fast Setup
To get started with this skill, ensure you have your environment configured correctly.
# Set your API token as an environment variable
export NEMO_TOKEN="your_token_here"
# The skill will automatically attempt to connect to the backend
# and store configuration in the following directory:
# ~/.config/nemovideo/
If no token is present, the skill will automatically POST to [https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token](https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token) to secure a temporary 100-credit trial.
Video Editing With Fast Data Schema & Taxonomy
The skill utilizes a structured draft system to manage the video timeline. Below is the mapping for the internal data taxonomy:
| Key | Definition | Details |
|---|---|---|
t |
Tracks | Array of all media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Individual clips or blocks on the timeline |
d |
Duration | Length of segments measured in milliseconds |
m |
Metadata | Technical properties of the media assets |
All state information is accessible via the /api/state/nemo_agent/me/<sid>/latest endpoint to ensure the AI agent and the user remain synchronized.
Video Editing With Fast Advanced Features
- Multi-agent support for collaborative editing workflows.
- Persistence of session state allowing for multi-step, iterative editing without re-uploading assets.
- Automated silence detection and removal hooks for streamlined talking-head videos.
- Dynamic attribution headers for cross-platform integration (Clawhub, Cursor, etc.) within Openclaw Skills.
- Real-time SSE stream monitoring with automated heartbeat checks to ensure long-running render stability.
SKILL.md
Loading
Related Openclaw Skills
Simple Video Editing With AI
An AI-powered video editing skill that automates trimming, transitions, and cloud-based 1080p rendering for content creators.
YouTube Video Editing With AI
An AI-powered cloud video editing tool that transforms raw footage into professional 1080p YouTube videos in minutes.
NBATI Basketball Personality Analyzer
An interactive AI agent skill that analyzes your basketball habits and intensity to define your unique player archetype.
Fast Video Editing With AI
A cloud-powered AI video editing skill that automates trimming, enhancing, and exporting raw footage into 1080p MP4 files via simple natural language commands.
Instagram Video Editing
A powerful AI-driven cloud editing tool designed to transform raw video clips into high-quality Instagram Reels and Stories in seconds.
SBTI Personality Parody Agent
A parody AI personality test that uses abstract questions and internet memes to generate humorous, non-scientific personality profiles.
Featured*
