Automatic Video Free HD for Openclaw

A powerful AI video editing skill that transforms raw footage into professional HD videos using automated cloud-based GPU rendering.

vynbosserman65
v1.0.0
May 11, 2026
0
232
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install automatic-video-free-hd

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install automatic-video-free-hd 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 Automatic Video Free HD?

Automatic Video Free HD is an advanced entry in the Openclaw Skills library designed to eliminate the steep learning curve of professional video editing software. By leveraging remote GPU nodes, this skill allows users to describe their desired output in plain English and receive a polished, high-definition video in return. Whether you need to convert a simple phone recording or create a complex edit with transitions and background music, the AI handles the heavy lifting server-side.

This skill is specifically optimized for content creators who require high-quality output without the overhead of manual editing or expensive software subscriptions. It supports a wide range of formats including MP4, MOV, and AVI, handling files up to 500MB with a streamlined workflow that delivers results in as little as 1-2 minutes.

Automatic Video Free HD Use Cases

  • Convert unedited mobile phone recordings into professional 1080p MP4 files for social media.
  • Automatically add seamless transitions and thematic background music to raw b-roll footage.
  • Perform batch styling by uploading multiple files and applying distinct editing instructions to each.
  • Iteratively refine video projects by tweaking text overlays, aspect ratios, and audio tracks within a persistent session.

How Automatic Video Free HD Works

  1. The user uploads raw video files or provides a URL to the media asset.
  2. The system authenticates using a NEMO_TOKEN and establishes a unique project session.
  3. User instructions (e.g., 'add lo-fi music and transitions') are processed via an SSE (Server-Sent Events) stream to the AI backend.
  4. The AI generates a timeline draft, organizing video, audio, and text tracks based on the prompt.
  5. The project is sent to a cloud GPU node for compositing and platform-specific H.264 compression.
  6. A final download URL is provided once the high-quality render is completed.

Automatic Video Free HD Setup

To use this within the Openclaw Skills ecosystem, ensure your environment is configured:

# Export your NEMO_TOKEN to your environment
export NEMO_TOKEN="your_token_here"

# The skill will automatically detect your platform
# Supported paths include ~/.clawhub/ or ~/.cursor/skills/

If you do not have a token, the skill will automatically attempt to generate a 7-day anonymous trial token during the first connection.

Automatic Video Free HD Data Schema & Taxonomy

The skill manages video projects using a compact JSON metadata taxonomy for rapid processing:

Key Description
t Number of tracks in the timeline
tt Track type (0: Video, 1: Audio, 7: Text)
sg Segments within the track
d Duration in milliseconds (ms)
m Metadata associated with the asset

All exported files are rendered in HD (up to 1080x1920) using the H.264 codec.

Automatic Video Free HD Advanced Features

  • Multi-track timeline management for simultaneous video, BGM, and title overlays.
  • Real-time session state polling to track edits and rendering progress.
  • Automatic credit management and balance checking for high-volume creators.
  • Persistent session IDs that allow for iterative refinement without re-uploading assets.
  • Intelligent intent classification for commands like export, status, and balance.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Github Stars: 0
forks: 0

Featured*