skills.rest
SamurAIGPT
SamurAIGPTOFFICIAL
Explore all skills by this author →
GitHub

muapi-nano-banana

Generates images from reasoning-driven prompts specifying subject, action, context, composition, and lighting, including text rendering and stylistic elements.

4.0k|451|Updated May 25, 2023
Search Tags:#prompt engineering#image generation#creative brief#ai art#photorealism#gemini 3
One-click install
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills --skill muapi-nano-banana
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: muapi-nano-banana
Source: https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/visual/nano-banana
Command: npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills --skill muapi-nano-banana

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables AI agents to generate high-fidelity images by translating natural language logic into structured, reasoning-driven creative briefs, moving beyond simple keyword prompts.

Core Features & Use Cases

  • Reasoning-Driven Prompting: Creates prompts based on physics, lighting, and spatial relationships.
  • Structured Creative Briefs: Follows a "Subject + Action + Context + Composition + Lighting" formula.
  • Text Integration: Precisely defines text to be rendered in images.
  • Use Case: Generate a photorealistic image of a robot barista pouring a latte with specific lighting and cafe context, ensuring text on a sign is legible.

Quick Start

Generate an image of a glass chess piece shattering into liquid shards on an obsidian table using macro photography style.

Frequently Asked Questions about muapi-nano-banana

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

FAQPage Schema
How do I generate images with reasoning-driven prompts instead of simple keywords?▼

Image reasoning-driven prompting creates structured creative briefs defining subject, action, context, composition, and lighting. It translates natural language logic into high-fidelity image generation, moving beyond basic keyword prompts for enhanced realism.

Can AI image generation render specific text legibly within images?▼

Yes, AI image generation can render specific text legibly by using a structured prompt wrapper that precisely defines text to be integrated. This ensures text on signs or objects within the generated image remains clear and accurate.

What is the best way to achieve photorealism in AI-generated art?▼

The best way to achieve photorealism in AI-generated art is to apply a reasoning-driven prompt structure based on physics, lighting, and spatial relationships. This formula ensures enhanced realism and precision in the final output.

How do I structure a creative brief for AI art generation?▼

Structure a creative brief for AI art generation using the Subject + Action + Context + Composition + Lighting formula. This defines spatial relationships and lighting to translate natural language logic into high-fidelity images.

Do I need a specific framework to use logic wrappers for image generation?▼

No specific framework dependency is required to use logic wrappers for image generation. The Skill operates as a standalone script component that wraps around core image generation primitives to process structured creative briefs.

Related Skills

Explore More Design & Creative Skills→
GGPromptsGGPrompts
147

prompt-craft

Craft worker prompts from backlog issues using Claude 4 best practices.

Community
Basic
ArcaneOrionArcaneOrion
13

canvas-design

Create high-fidelity visual designs on canvas and export as PDF/PNG.

Community
Advanced
FirzusFirzus
1

stylized-rendering

Design stylized game rendering pipelines with toon lighting and outlines.

Community
Advanced
Clos01Clos01
3

image-poster

Generate finished poster and editorial illustration assets from creative image briefs.

Community
Intermediate