# klingai-batch-processing

> Process multiple video generation requests efficiently

## Directory Structure

```
klingai-batch-processing/
├── 📄 SKILL.md                    # Main skill definition with YAML frontmatter
└── 📂 examples/                   # Optional examples directory
    ├── 🐍 batch_processor.py      # Batch job management
    ├── 🐍 parallel_executor.py    # Concurrent job submission
    └── 🐍 progress_tracker.py     # Batch progress tracking
```

## File Descriptions

| File | Type | Purpose |
|------|------|---------|
| `SKILL.md` | 📄 Markdown | Skill definition with batch processing guide |
| `batch_processor.py` | 🐍 Python | Manage batch of video generation jobs |
| `parallel_executor.py` | 🐍 Python | Submit jobs concurrently with limits |
| `progress_tracker.py` | 🐍 Python | Track batch completion progress |

## Summary

**Category:** cicd
**Target Audience:** Developer processing multiple videos
**Trigger Phrases:** `klingai batch`, `kling ai bulk`, `multiple klingai videos`, `parallel klingai`

### What This Skill Does

This skill teaches efficient batch video generation with Kling AI. It covers:

- Batch job submission with concurrency control
- Progress tracking across multiple jobs
- Error handling for partial batch failures
- Result aggregation and reporting
- Rate limit awareness in batches
- Resumable batch processing

### Technical Success Criteria

- Parallel job submission with progress tracking
- Proper concurrency limits respected
- Graceful handling of partial failures

### Business Success Criteria

- Efficient high-volume video generation
- Predictable batch completion times
- Cost-effective bulk processing

## Related Skills

- `klingai-rate-limits` - Rate limiting in batch contexts
- `klingai-async-workflows` - Workflow orchestration
- `klingai-webhook-config` - Batch completion notifications
