klingai-performance-tuning
Optimize Kling AI performance for speed and quality. Use when improving generation times, reducing costs, or enhancing output quality. Trigger with phrases like 'klingai performance', 'kling ai optimization', 'faster klingai', 'klingai quality settings'. allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed Tools
No tools specified
Provided by Plugin
klingai-pack
Kling AI skill pack - 30 skills for AI video generation, image-to-video, text-to-video, and production workflows
Installation
This skill is included in the klingai-pack plugin:
/plugin install klingai-pack@claude-code-plugins-plusClick to copy
Instructions
# Klingai Performance Tuning
## Overview
This skill demonstrates optimizing Kling AI for better performance including faster generation, improved quality, cost optimization, and efficient resource usage.
## Prerequisites
- Kling AI API key configured
- Understanding of performance tradeoffs
- Python 3.8+
## Instructions
Follow these steps for performance tuning:
1. **Benchmark Baseline**: Measure current performance
2. **Identify Bottlenecks**: Find slow areas
3. **Apply Optimizations**: Implement improvements
4. **Measure Results**: Compare before/after
5. **Balance Tradeoffs**: Find optimal settings
## Output
Successful execution produces:
- Performance benchmarks
- Optimization recommendations
- Configuration comparisons
- Cached generation results
## Error Handling
See `{baseDir}/references/errors.md` for comprehensive error handling.
## Examples
See `{baseDir}/references/examples.md` for detailed examples.
## Resources
- [Kling AI Performance](https://docs.klingai.com/performance)
- [Optimization Best Practices](https://docs.klingai.com/best-practices)
- [Caching Strategies](https://cachetools.readthedocs.io/)