video-prompting-guide

What This Skill Does

The video-prompting-guide skill is an advanced engineering toolkit designed to help users craft professional-grade prompts for cutting-edge AI video generators. Whether you are working with models like Veo, Seedance, Wan, Grok, Kling, Runway, Pika, or Sora, this skill provides the grammatical structure, terminology, and aesthetic frameworks necessary to translate creative intent into high-fidelity visual output. It serves as an interactive reference for camera language, lighting conditions, and pacing, ensuring your prompts yield consistent and cinematic results every time.

Installation

You can integrate this skill into your environment by executing the following command in your terminal via OpenClaw:

clawhub install openclaw/skills/skills/okaris/video-prompting-guide

Ensure that you have the OpenClaw CLI configured correctly to access the skills registry. Once installed, the guide becomes immediately accessible through natural language queries, providing instant templates and prompt-tuning advice.

Use Cases

This skill is ideal for content creators, film students, and digital artists who want to bridge the gap between abstract imagination and AI-rendered video. Use it to:

• Refine prompts for high-stakes video production where quality control is critical.
• Standardize prompt formatting across different AI video platforms to achieve consistent styles.
• Learn technical terminology such as "dutch angle," "tracking shots," and "color grading" to influence the mood and impact of generated clips.
• Debug prompts that are producing lackluster results by applying the structural formula: [Shot Type] + [Subject] + [Action] + [Setting] + [Lighting] + [Style] + [Technical].

Example Prompts

1. "I need a prompt for a cinematic wide shot of a futuristic neon city under heavy rain for Runway Gen-2."
2. "Can you help me rewrite this prompt? It currently looks like: 'A dog jumping,' but I want it to be more professional with specific camera movements."
3. "Show me a prompt template that uses a low-angle shot and warm lighting to make a portrait of a person look powerful."

Tips & Limitations

To get the most out of this skill, focus on layering technical parameters. While general prompts might yield decent results, the best AI video outputs are those that explicitly define the camera's behavior.

• Limitations: This skill provides linguistic assistance and prompt engineering strategies; it does not execute the actual video generation itself. You will still need an active subscription or API access to the target video model (e.g., Sora or Veo) to render the final assets.
• Best Practices: Start your prompts with the camera movement or shot type to anchor the AI's composition, then fill in the subject details. Always include technical tags like '4K', 'high definition', or 'filmic' to ensure the AI prioritizes high-quality rendering over generic outputs.