klingai-model-catalog
Build explore Kling AI models and their capabilities for video generation. Use when selecting models or understanding features. Trigger with phrases like 'kling ai models', 'klingai capabilities', 'kling video models', 'klingai features'.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-model-catalog63
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Klingai Model Catalog
Overview
This skill provides a comprehensive guide to Kling AI's video generation models, their capabilities, recommended use cases, and how to select the right model for your needs.
Prerequisites
- Kling AI API key configured
- Understanding of video generation concepts
- Knowledge of your use case requirements
Instructions
Follow these steps to understand and select Kling AI models:
- Review Available Models: Understand the model options
- Compare Capabilities: Evaluate features vs requirements
- Test with Samples: Try each model with your prompts
- Optimize Selection: Choose based on quality/speed/cost tradeoffs
- Monitor Performance: Track results and adjust as needed
Output
Successful execution produces:
- List of available models with capabilities
- Model recommendation based on requirements
- Understanding of pricing and tradeoffs
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
- Commit
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- Last updated
- Created
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