# ideogram-batch-generation

> Implement batch image generation with Ideogram for high-volume workflows with queue management.

## Directory Structure

```
ideogram-batch-generation/
├── SKILL.md
└── examples/
    └── batch_processor.py
```

## File Descriptions

| File | Type | Purpose |
|------|------|---------|
| SKILL.md | Markdown | Batch processing architecture, queue management, and parallel request optimization |
| examples/batch_processor.py | Python | Example batch processor with rate limit handling and progress tracking |

## Summary

**Category:** Operations
**Target Audience:** AI engineers, DevOps engineers, Content operations
**Trigger Phrases:** ideogram batch, bulk ideogram generation, ideogram automation, mass image generation

This skill implements efficient batch image generation workflows with Ideogram. It covers queue architecture, rate limit management, parallel request optimization, error handling per item, progress tracking, and result aggregation. Use this skill when building automated content generation pipelines that process multiple images.
