ai-marketing-videos

What This Skill Does

The ai-marketing-videos skill provides a robust framework for generating professional-grade video content directly within the OpenClaw environment. By leveraging cutting-edge models like Google's Veo series, Seedance, and Wan, this tool automates the creation of marketing assets ranging from high-impact 6-second bumper ads to comprehensive 90-second explainer videos. The integration allows users to move from a text prompt to a cinematic visual asset through the inference.sh CLI, effectively turning text-based campaign strategies into visual brand content with specific artistic styles and technical specifications.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/okaris/ai-marketing-videos

Ensure you have the inference.sh CLI installed and authenticated via infsh login to allow the skill to communicate with the model endpoints. Once installed, the skill recognizes various trigger words such as 'promo video,' 'ad creative,' or 'brand video' to initiate the generation workflow.

Use Cases

This skill is designed for marketing teams, content creators, and social media managers. Key applications include:

• Product Launches: Generate cinematic product reveals to build hype.
• Social Media Advertising: Create high-conversion video assets tailored for TikTok, Instagram, and Facebook.
• Brand Awareness: Develop emotional storytelling montages that reinforce brand identity.
• Educational Content: Produce clear feature highlights and 'how-to' explainers for product websites.

Example Prompts

1. "Create a 30-second YouTube product ad for our new noise-canceling headphones, emphasizing the crystal-clear sound quality."
2. "Generate a fast-paced TikTok promo video for our summer sale, keeping it vibrant and energetic."
3. "Make an explainer video for our SaaS dashboard that highlights the drag-and-drop feature for new users."

Tips & Limitations

To achieve the best results, use descriptive prompts that define the lighting, camera angle, and mood. For example, specify 'macro shot' or 'cinematic lighting' to improve visual quality. Note that these models are subject to current inference API limitations; complex, multi-scene videos require chaining multiple requests. Always review generated outputs for visual consistency, especially when building longer campaigns. Ensure your internet connection is stable, as high-resolution video generation requires consistent communication with the external inference API endpoints.