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klingai-model-catalog

tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill 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'.

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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:

  1. Review Available Models: Understand the model options
  2. Compare Capabilities: Evaluate features vs requirements
  3. Test with Samples: Try each model with your prompts
  4. Optimize Selection: Choose based on quality/speed/cost tradeoffs
  5. 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

  • Kling AI Models Documentation
  • Pricing Calculator
  • Feature Comparison
Repository
github.com/jeremylongshore/claude-code-plugins-plus-skills
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Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.