# klingai-performance-tuning

> Optimize Kling AI performance for speed and quality

## Directory Structure

```
klingai-performance-tuning/
├── 📄 SKILL.md                    # Main skill definition with YAML frontmatter
└── 📂 examples/                   # Optional examples directory
    ├── 🐍 performance_profiler.py # Benchmark and profile
    ├── 🐍 optimization_strategies.py # Optimization patterns
    └── 🐍 caching_layer.py        # Video caching implementation
```

## File Descriptions

| File | Type | Purpose |
|------|------|---------|
| `SKILL.md` | 📄 Markdown | Skill definition with performance optimization guide |
| `performance_profiler.py` | 🐍 Python | Benchmark generation performance |
| `optimization_strategies.py` | 🐍 Python | Optimization strategy implementations |
| `caching_layer.py` | 🐍 Python | Cache generated videos |

## Summary

**Category:** advanced
**Target Audience:** Performance engineer
**Trigger Phrases:** `klingai performance`, `kling ai optimization`, `faster klingai`, `klingai speed`

### What This Skill Does

This skill teaches optimizing Kling AI for better performance. It covers:

- Performance benchmarking and profiling
- Speed vs quality vs cost tradeoffs
- Model selection for performance
- Duration and resolution optimization
- Caching strategies for repeated generations
- Configuration comparison and recommendations

### Technical Success Criteria

- Measurable improvement in generation performance
- Optimal configuration for use case
- Caching reducing redundant generations

### Business Success Criteria

- Cost-effective high-quality video production
- Predictable generation times
- Efficient resource utilization

## Related Skills

- `klingai-model-catalog` - Model performance comparison
- `klingai-pricing-basics` - Cost/performance tradeoffs
- `klingai-batch-processing` - Batch performance
