A professional orchestration tool for generating and scaling high-fidelity AI video content across multiple industry-leading providers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-generation
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-generation 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 AI Video Generation?
The AI Video Generation skill is a comprehensive framework designed for developers and creators to automate the production of high-quality cinematic content. By utilizing Openclaw Skills, users can seamlessly interface with a diverse ecosystem of video models including OpenAI Sora 2, Google Veo 3, Runway Gen-4, and Luma Ray. This skill standardizes the complexities of modern video APIs, providing a unified methodology for motion prompting, model routing, and asynchronous rendering.
Beyond simple generation, this tool focuses on production-grade reliability. It encourages a draft-first workflow to optimize credits and provides robust error handling for the often-unpredictable nature of video generation pipelines. Whether you are building marketing assets, experimental cinema, or automated social media content, this skill ensures your video stack is scalable and efficient.
AI Video Generation Use Cases
- Automating cinematic shot generation for high-end marketing and commercial production.
- Scaling video content creation using high-performance APIs like Luma Ray, Kling, and Vidu.
- Rapidly prototyping visual concepts with low-cost draft models before committing to premium high-resolution renders.
- Managing complex, multi-shot narrative consistency for storytelling using specialized models like Seedance.
- Executing privacy-first, local video workflows using open-source models like Wan2.2 and HunyuanVideo.
How AI Video Generation Works
- The system resolves human-friendly model aliases (like sora-pro) into specific, technical API model IDs to ensure request accuracy.
- It evaluates the specific task requirements—such as duration, control needs, or cost constraints—to route the request to the most appropriate provider.
- Detailed shot instructions are formulated, incorporating critical parameters like camera motion, lens style, lighting, and scene timing.
- The skill initiates an asynchronous generation pipeline, managing the entire lifecycle including job queuing, polling, retries, and signed-URL asset retrieval.
- User preferences and historical job data are persisted locally to refine future model selection and maintain cost-efficiency.
AI Video Generation Setup
To begin using this skill within your Openclaw Skills environment, follow these installation steps:
# Install the skill via the hub
clawhub install video-generation
# Set up your required API keys in your environment
export OPENAI_API_KEY="your_api_key"
export RUNWAY_API_KEY="your_api_key"
export LUMA_API_KEY="your_api_key"
# Create the local configuration directory
mkdir -p ~/video-generation/
Review the setup.md file within the skill directory for provider-specific configuration details.
AI Video Generation Data Schema & Taxonomy
The skill maintains a structured local data footprint to ensure continuity and optimization across sessions:
| File | Purpose | Key Metadata |
|---|---|---|
memory.md |
User Preferences | Preferred providers, custom model routing, reusable shot recipes |
history.md |
Job Tracking | Log of generation jobs, cost analysis, model IDs, and local output paths |
All configuration and history files are stored locally in ~/video-generation/ to maintain user privacy and portability.
AI Video Generation Advanced Features
- Intelligent fallback logic that automatically switches to secondary providers or lower tiers if a primary model is overloaded or unavailable.
- Task-based routing engine that prioritizes specific models for distinct needs like image-to-video control or long-form cinematic shots.
- Production-ready async handling featuring automated backoff, polling, and asset downloading before URL expiry.
- Comprehensive prompt engineering framework that translates simple descriptions into structured shot instructions with precise camera and lighting parameters.
- Support for multi-shot narrative consistency workflows using specialized models like Seedance and MiniMax Hailuo.
SKILL.md
Loading
Related Openclaw Skills
Video Editing
A sophisticated AI skill designed to automate professional video post-production, from background matting to high-resolution upscaling.
Video Downloader
A robust AI agent skill for downloading online videos with granular quality controls and secure local storage management.
Video Captions
A comprehensive AI tool for generating, styling, and burning professional-grade subtitles and captions into video content locally.
Vibe Research
An autonomous AI-led research skill that handles the full cycle from literature review to final synthesis while the human provides high-level vision.
Video Processing & Optimization Skill
A comprehensive toolkit for automating video conversion, platform-specific repurposing, and AI-powered captioning using FFmpeg and Whisper.
Vienna Guide
A data-driven knowledge base for visitors and professionals looking to navigate, live, or work in Vienna.
METADATA
Featured*
