Why Use This
This skill provides specialized capabilities for jeremylongshore's codebase.
Use Cases
- Developing new features in the jeremylongshore repository
- Refactoring existing code to follow jeremylongshore standards
- Understanding and working with jeremylongshore's codebase structure
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Source & Community
Updated At Jan 11, 2026, 10:30 PM
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SKILL.md 56 Lines
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Total Size 0 B
License MIT
---
name: klingai-image-to-video
description: |
Generate videos from static images using Kling AI. Use when animating images, creating
motion from stills, or building image-based content. Trigger with phrases like 'klingai image to video',
'kling ai animate image', 'klingai img2vid', 'animate picture klingai'.
allowed-tools: Read, Write, Edit, Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---
# Klingai Image To Video
## Overview
This skill demonstrates using Kling AI's image-to-video capabilities to animate static images, including motion control, style preservation, and seamless transitions.
## Prerequisites
- Kling AI API key configured
- Source image (PNG, JPG, WEBP)
- Python 3.8+ with image processing libraries
## Instructions
Follow these steps for image-to-video:
1. **Prepare Image**: Ensure image meets requirements
2. **Configure Motion**: Define animation parameters
3. **Generate Video**: Submit to API
4. **Review Output**: Verify animation quality
5. **Iterate**: Refine motion settings
## Output
Successful execution produces:
- Animated video from static image
- Controlled motion and camera effects
- Style-preserved animation
- Multiple output formats
## Error Handling
See `{baseDir}/references/errors.md` for comprehensive error handling.
## Examples
See `{baseDir}/references/examples.md` for detailed examples.
## Resources
- [Kling AI Image-to-Video](https://docs.klingai.com/image-to-video)
- [Pillow Documentation](https://pillow.readthedocs.io/)
- [Motion Control Guide](https://docs.klingai.com/motion)