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'.
View on GitHubjeremylongshore/claude-code-plugins-plus-skills
klingai-pack
plugins/saas-packs/klingai-pack/skills/klingai-image-to-video/SKILL.md
February 1, 2026
Select agents to install to:
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/main/plugins/saas-packs/klingai-pack/skills/klingai-image-to-video/SKILL.md -a claude-code --skill klingai-image-to-videoInstallation paths:
.claude/skills/klingai-image-to-video/# 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)