Video Builder for Openclaw

Video Builder is an automated AI video creation tool that assembles polished 1080p MP4 videos from raw clips and images using simple text commands.

dsewell-583h0
v1.0.0
Apr 15, 2026
0
331
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install video-builder

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 video-builder 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 Builder?

Video Builder is a sophisticated Openclaw Skills integration designed for marketers and content creators who need professional video results without the steep learning curve of manual editing software. By leveraging a cloud-based GPU rendering pipeline, it allows users to transform raw assets like MP4, MOV, and PNG files into high-quality productions.

The skill acts as a bridge to a powerful backend API that handles complex timeline operations, including layer compositing, text overlays, and audio syncing. Whether you need to combine these clips into a 60-second promo or generate a quick social media edit, this tool manages the heavy lifting of video production through intuitive natural language processing.

Video Builder Use Cases

  • Creating 60-second promotional videos from product images and background music.
  • Batch processing multiple media files to apply consistent styles across different clips.
  • Generating polished 1080p MP4 exports for social media without manual timeline editing.
  • Adding professional text overlays and transitions to raw footage via text prompts.
  • Quick iterative video drafting where users refine the timeline state through conversation.

How Video Builder Works

  1. The user provides media files or URLs which are uploaded to the cloud rendering pipeline.
  2. An editing session is initialized, establishing a unique session ID to track the timeline state.
  3. User instructions are processed via an SSE (Server-Sent Events) stream that interprets intent for editing, transitions, or effects.
  4. The backend updates a JSON-based draft representing the tracks, segments, and metadata of the video.
  5. Upon an export command, a cloud GPU node composites the layers and compresses the video into a 1080p MP4 file.
  6. The skill monitors the render progress and provides a final download URL to the user.

Video Builder Setup

To initialize the Video Builder within Openclaw Skills, ensure your environment is configured:

# Set your API token
export NEMO_TOKEN="your_token_here"

# The skill will automatically handle session creation on first run
# If no token is found, it can generate an anonymous 7-day token

Ensure that the three required attribution headers (X-Skill-Source, X-Skill-Version, and X-Skill-Platform) are present in your configuration to avoid 402 error blocks during export.

Video Builder Data Schema & Taxonomy

The skill manages data through a structured session state and a compressed JSON timeline format:

Key Description
t Tracks (The primary organizational layers)
tt Track Type (0: Video, 1: Audio, 7: Text)
sg Segments (Individual clips or elements within a track)
d Duration (Measured in milliseconds)
m Metadata (Information regarding specific media properties)

All media processed is subject to a 500MB file size limit and is stored temporarily within the active editing session.

Video Builder Advanced Features

  • Multi-track timeline management supporting simultaneous video, audio, and text layers.
  • Automated credit balance monitoring and anonymous-to-registered account binding.
  • Real-time SSE stream processing for complex, multi-step AI video creation tasks.
  • Platform-specific H.264 compression for optimized 1080p MP4 output.
  • Session persistence allowing for iterative editing and refining of the video state over multiple interactions.

SKILL.md


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