Create AI Video From Text for Openclaw

A professional-grade AI video generation skill that converts text scripts, documents, and prompts into high-quality 1080p MP4 videos via a cloud GPU rendering pipeline.

francemichaell-15
v1.0.0
Apr 11, 2026
0
296
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install create-ai-video-from-text

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 create-ai-video-from-text 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 Create AI Video From Text?

The Create AI Video From Text skill is a high-performance tool designed for developers and marketers to bridge the gap between written content and visual media. By leveraging advanced Openclaw Skills capabilities, it allows users to input text prompts or upload documents like DOCX and PDF files to trigger a sophisticated cloud-based rendering process.

This skill automates the complex pipeline of video compositing, voiceover generation, and background music integration. Whether you are looking to turn this product description into a 30-second promotional video or generate a quick social media clip, the system processes requests on high-end GPUs to deliver production-ready 1080p results within 1-2 minutes.

Create AI Video From Text Use Cases

  • Marketing Automation: Rapidly turn this product description into a promotional video with visuals and voiceover for social media campaigns.
  • Content Repurposing: Convert long-form blog posts or PDF reports into digestible video summaries.
  • Script Testing: Quickly visualize video scripts from TXT or SRT files to check pacing and tone before full-scale production.
  • Educational Content: Generate instructional videos from written lesson plans or training documents.

How Create AI Video From Text Works

  1. Authentication: The skill establishes a secure connection using the NEMO_TOKEN or generates an anonymous session via a UUID client identifier.
  2. Session Initialization: A project session is created to track tasks, timelines, and draft states.
  3. Input Processing: Users provide text prompts or upload files (up to 500MB); the skill routes these to the appropriate cloud render actions.
  4. AI Generation (SSE): The skill communicates with the cloud GPU pipeline via Server-Sent Events (SSE) to handle complex editing and generation commands.
  5. Rendering and Export: Once the timeline is finalized, the skill triggers a high-quality export job, polling the status until a 1080p MP4 download URL is ready.

Create AI Video From Text Setup

To integrate this into your Openclaw Skills environment, ensure you have your API token ready and follow these steps:

# Set your environment variable
export NEMO_TOKEN="your_token_here"

# The skill will automatically check for configuration at:
# ~/.config/nemovideo/

If no token is present, the skill will automatically attempt to provision an anonymous session with 100 credits valid for 7 days.

Create AI Video From Text Data Schema & Taxonomy

The skill organizes data through a structured session state and timeline draft system:

Field Description
task_id Unique identifier for the specific video project
session_id Persistent ID for maintaining the editing timeline
draft JSON object containing tracks (t), track types (tt), and segments (sg)
video_infos Metadata regarding the visual assets and generated media

Supported Formats:

  • Video: MP4, MOV, AVI, WEBM, MKV
  • Images: JPG, PNG, GIF, WEBP
  • Audio: MP3, WAV, M4A, AAC

Create AI Video From Text Advanced Features

  • Multi-Track Timeline Management: Granular control over video, audio, and text overlay tracks with precise millisecond duration mapping.
  • Automated GUI Mapping: Intelligently translates visual interface instructions (like 'drag and drop') into backend API calls.
  • Real-time Status Polling: Sophisticated SSE event handling with heartbeat monitoring to ensure stable connections during long render jobs.
  • Credit and Subscription Management: Built-in logic to handle credit balances and plan-based export restrictions.

SKILL.md


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