A professional framework for engineering high-quality AI video prompts across major models like Sora, Runway Gen-3, and Kling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-promptwords
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-promptwords 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 Prompting Skill?
The Video Prompting Skill is a comprehensive engineering guide designed to help developers and creators master the art of AI video generation. It provides a structured methodology for crafting prompts that control subjects, camera movement, lighting, and cinematic styles. By leveraging this skill within Openclaw Skills, users can achieve consistent, high-fidelity results across a variety of leading AI video models including Sora, Runway Gen-3/4, Kling, and Veo 2.
This skill bridge the gap between static image generation and dynamic video production by focusing on the critical dimension of motion. It categorizes essential terminology—from camera angles like Dutch angles to complex movements like dolly zooms—enabling precise control over the AI's temporal and spatial output.
Video Prompting Skill Use Cases
- Generating realistic cinematic sequences for film pre-visualization and storyboarding.
- Creating high-quality marketing assets and social media content using AI-driven video tools.
- Prototyping visual effects and atmospheric scenes for game development or web design.
- Standardizing prompt structures for multi-agent AI workflows involving video generation.
How Video Prompting Skill Works
- Define the Core Subject by detailing appearance and attire to ensure visual consistency.
- Apply Motion and Action descriptors to specify how the subject interacts within the frame.
- Configure Camera Language using standardized terms like tracking shots, pans, or aerial views to dictate perspective.
- Set the Atmospheric Parameters including lighting (e.g., Golden Hour) and stylistic influences (e.g., Wes Anderson or Cyberpunk).
- Optimize for Specific Platforms by adjusting the prompt length and tone for models like Sora (natural language) or Runway (keyword-heavy).
Video Prompting Skill Setup
To integrate these prompt engineering templates into your Openclaw Skills workflow, follow these steps:
# Navigate to your Openclaw configuration directory
cd ~/.openclaw/skills
# Clone the prompting library or create a new template file
touch video_prompts.md
# Use the core structure within your AI agent's system prompt:
# [Subject] + [Action] + [Environment] + [Camera] + [Lighting] + [Style]
Video Prompting Skill Data Schema & Taxonomy
The skill organizes prompt data using a multi-dimensional taxonomy to ensure high keyword density and relevance:
| Component | Taxonomy Level | Description |
|---|---|---|
| Subject | Primary | Entity details, clothing, and characteristics |
| Cinematography | Structural | Camera movement, angles, and framing (ECU to EWS) |
| Environment | Contextual | Setting, weather, and physical interactions |
| Aesthetics | Stylistic | Lighting types, film stock (35mm), and director styles |
| Technical | Meta | Frame rate, resolution, and aspect ratios |
Video Prompting Skill Advanced Features
- Multi-Subject Coordination: Techniques for managing interaction between two or more entities in a single shot.
- Temporal Narrative Control: Commands for time-lapses, slow motion (120fps), and scene transitions.
- Physics-Based Interaction: Specialized prompting for realistic water splashes, wind effects, and light refraction.
- Model-Specific Adapters: Tailored prompt templates for the unique logic of Sora, Kling, and Pika within the Openclaw Skills ecosystem.
SKILL.md
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