moai-ai-nano-banana

Image generation automation uses AI services to create visuals at 1K/2K/4K resolutions with configurable aspect ratios. This Skill integrates with Nano Banana Pro AI to generate batch images with style prefixes, grounding via Google Search, and concurrency controls for documentation, marketing, and UI/UX assets.

Batch processing with concurrency is supported through configuration files. The Skill accepts JSON prompts, processes multiple requests simultaneously with configurable concurrency limits, applies exponential backoff retry logic, and outputs results to a specified directory.

Google Search grounding enriches AI-generated content by anchoring prompts to real-world search results. This Skill applies grounding during generation to improve accuracy and relevance for documentation and marketing visuals, reducing hallucinations in output.

Yes. Required dependencies include google-genai for AI integration, PyYAML for configuration parsing, and python-dotenv for environment management. The Skill uses Python scripts to orchestrate batch workflows with these libraries.

Style prefixes are prepended to prompts to enforce consistent aesthetic properties across batch generations. They control visual tone, composition, and design direction without modifying the core content, ensuring cohesive output for branded asset pipelines.

Exponential backoff retry logic automatically retries failed requests with increasing delays, reducing transient failures from rate limits or service interruptions. This ensures reliable completion of large batch jobs without manual intervention.