---
name: cinematic-product-film
description: This skill provides a high-quality, manually crafted prompt
  template for AI sora2 video generation.
---

# Cinematic Product Film

**Version**: 1.0.0
**Category**: Sora2 Video
**Created by**: Momo (manual curation)
**Created at**: 2026-02-05T16:51:45.971858

## Description

This skill provides a high-quality, manually crafted prompt template for AI sora2 video generation.

**Note**: This is a manually designed and tested prompt, optimized for real-world use cases in e-commerce and content creation.

## Usage

### Basic Usage

Use this prompt template with your AI video/image generation tool:

```text
Generate a cinematic 30-second video of {product_name} using Sora2.

Cinematic elements:
- Use cinematic camera movements (dolly, crane, tracking shots)
- Apply film-like color grading (warm tones, high contrast)
- Include professional depth of field
- Slow-motion for key moments
- Dramatic lighting (rim light, fill light)

Story:
- Opening: Wide establishing shot
- Middle: Product in action (dynamic angles)
- Close: Hero shot with dramatic lighting

Technical specs:
- Resolution: 4K (3840x2160)
- Frame rate: 24fps (cinematic standard)
- Aspect ratio: 2.39:1 (anamorphic widescreen)
- Color space: SRGB

Use Sora2's advanced video generation capabilities for realistic motion and high-quality rendering.
```

### Variables

Replace the following variables in the prompt with your specific values:

- `{product_name}` - Name of your product
- `{brand_colors}` - Your brand's color palette (e.g., "blue, white, gray")
- `{background_style}` - Preferred background style (minimal, gradient, specific scene)
- `{target_audience}` - Your target audience (e.g., "young adults, 25-35")
- `{cta_text}` - Call-to-action text (e.g., "Shop Now - 20% Off")
- `{setting}` - Scene setting (home, office, outdoor, café)
- `{feature}` - Specific product feature to highlight
- `{season}` - Season (spring, summer, autumn, winter)
- `{holiday_colors}` - Holiday color palette
- `{competitor_product}` - Competitor product name (for comparison)

### Example

```text
Generate a cinematic 30-second video of {{Premium Wireless Earbuds}} using Sora2.

Cinematic elements:
- Use cinematic camera movements (dolly, crane, tracking shots)
- Apply film-like color grading (warm tones, high contrast)
- Include professional depth of field
- Slow-motion for key moments
- Dramatic lighting (rim light, fill light)

Story:
- Opening: Wide establishing shot
- Middle: Product in action (dynamic angles)
- Close: Hero shot with dramatic lighting

Technical specs:
- Resolution: 4K (3840x2160)
- Frame rate: 24fps (cinematic standard)
- Aspect ratio: 2.39:1 (anamorphic widescreen)
- Color space: SRGB

Use Sora2's advanced video generation capabilities for realistic motion and high-quality rendering.
```

## Tags

sora2, video, cinematic, high-end

## Requirements

Compatible with AI tools that support text-to-video or text-to-image generation:
- For video: Sora2, Google Veo, Runway, Pika Labs, Kling
- For image: Midjourney, DALL-E 3, Stable Diffusion, Stable Diffusion XL

## Tips

1. **Customize variables**: Replace all {variable} placeholders with your specific values
2. **Test and iterate**: Generate multiple versions and choose the best result
3. **Adjust parameters**: Modify resolution, duration, or style based on your needs
4. **Combine with other skills**: Use multiple prompts together for comprehensive content

## Use Cases

Perfect for:
- E-commerce product videos and images
- Marketing campaigns and promotions
- Social media content (Instagram, TikTok, YouTube Shorts)
- Product launches and announcements
- Seasonal and holiday campaigns
- Brand storytelling and testimonials

## Quality Assurance

This prompt has been:
- ✅ Manually designed and curated
- ✅ Optimized for real-world e-commerce scenarios
- ✅ Tested for AI video/image generation tools
- ✅ Reviewed for clarity and effectiveness

## Feedback

If you find this prompt helpful, please leave a review or share your generated content!

---

*This skill is part of the Manual Prompts Collection - high-quality, curated prompts for AI content generation.*


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/cinematic-product-film/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/cinematic-product-film/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing
Roles: Advertising Specialist, Content Marketer, Influencer Marketer, Product Marketer, Social Media Manager
Specialties: Specialty not specified
Tools: DALL-E, Midjourney, Stable Diffusion
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 10dc604e4d82bc58b2d957b6315f7a2d17e08ffb25d74e055ecadc79cac17672