ai-image-generation

Generate AI images from prompts using Nano Banana Pro via Glif.

10|3|Updated Jan 18, 2026

Search Tags:#ai #iteration #image-generation #prompt-engineering #nano-banana-pro #glif #replicate-api

Ready to run

npx skills add https://github.com/10x-Anit/10x-Accountability-Coach --skill ai-image-generation-10x-anit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-image-generation
Source: https://github.com/10x-Anit/10x-Accountability-Coach/tree/main/.opencode/skills/ai-image-generation
Command: npx skills add https://github.com/10x-Anit/10x-Accountability-Coach --skill ai-image-generation-10x-anit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generating visually compelling images programmatically can be slow, inconsistent, and require multiple tools. This skill standardizes the process to deliver high-quality visuals quickly by guiding model selection, prompt construction, and iterative refinement.

Core Features & Use Cases

Model selection and prompt engineering for fast, high-quality outputs via Nano Banana Pro with Glif.
Iterative refinement: build, test, and improve prompts with integrated quality checks.
Use Cases: product visuals, concept art, marketing visuals, and social-ready images.

Quick Start

Open the image-generation workflow and provide a prompt to generate a high-quality image.

Frequently Asked Questions about ai-image-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate high-quality AI images using prompt engineering?▼

High-quality AI image generation uses the Nano Banana Pro model via Glif to construct prompts and apply iterative refinement. This process standardizes model selection and quality checks to deliver visually compelling outputs quickly for product visuals and concept art.

What is the best way to iterate on AI image generation prompts for marketing mockups?▼

Iterating on AI image generation prompts involves building, testing, and refining prompts through integrated feedback loops. This approach uses quality checks to rapidly improve marketing mockups and social-ready images until the desired visual standard is achieved.

Does this AI image generation workflow work with the Glif platform?▼

Yes, the AI image generation workflow operates directly with the Glif platform using the Nano Banana Pro model. It leverages this integration to handle prompt construction and execute iterative refinement for generating product visuals and concept art.

Can I use Nano Banana Pro for rapid iteration and feedback loops in image generation?▼

Yes, Nano Banana Pro supports rapid iteration and feedback loops for AI image generation. The workflow guides prompt construction and applies quality checks to ensure fast, high-quality outputs for applications like marketing visuals and social-ready images.

What are the limitations of generating marketing visuals programmatically without iterative refinement?▼

Generating marketing visuals programmatically without iterative refinement often results in slow, inconsistent outputs that require multiple tools. Applying structured prompt engineering and quality checks resolves these issues by standardizing the image generation process.