muapi-nano-banana
samuraigpt/generative-media-skills
Reasoning-driven image generation with structured creative briefs and logic-based prompting via muapi.ai
What is muapi-nano-banana?
A specialized skill for AI agents that generates high-fidelity images using Gemini 3-style reasoning and structured creative briefs instead of keyword-heavy prompts. Use this when you need precise control over composition, lighting, physics, and text rendering in generated images.
- Converts natural language logic into structured creative briefs using the 'Perfect Prompt' formula (Subject + Action + Context + Composition + Lighting + Style)
- Enforces reasoning-driven prompting that describes physical interactions and optical directives instead of keyword stacking
- Provides text rendering precision by explicitly defining typography and signifiers for legible text integration
- Implements negative constraint logic using descriptive sentences rather than simple negations
- Generates images via muapi.ai with physics-consistent and contextually grounded outputs
How to install muapi-nano-banana
npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-nano-banana- muapi.ai API access and credentials
- Node.js environment with npx installed
- Bash shell for running generate-nano-art.sh script
How to use muapi-nano-banana
- 1.Install the skill using: npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-nano-banana
- 2.Define your creative intent by identifying the subject, action, context, composition, and lighting
- 3.Rewrite any user prompt into a logic-driven reasoning brief using full descriptive sentences instead of keywords
- 4.Call the generate-nano-art.sh script with structured parameters (--subject, --action, --context, --style)
- 5.Review the generated image and iterate by refining the physical logic or optical directives in your prompt
Use cases
- Creating cinematic product photography with precise lighting and depth-of-field control
- Generating concept art with consistent identity and specific environmental details
- Producing images with legible text overlays by defining font styles and placement explicitly
- Building visual narratives where physical interactions between elements must be accurate
- Developing macro or specialized photography styles with specific lens behavior
- AI agents building visual content pipelines
- Creative directors and concept artists using AI assistance
- Developers building image generation workflows that require precision and consistency
- Teams needing production-quality imagery with specific technical requirements
muapi-nano-banana FAQ
This skill uses reasoning-driven logic and full descriptive sentences to describe physical interactions, lighting, and composition instead of keyword stacking (e.g., '8k, masterpiece'). It parses relationships between elements and ensures physically possible outcomes.
Use double quotes to define specific text precisely, such as: 'The sign reads "OPEN 24/7" in a weathered serif font.' Include details about font style, weathering, and placement.
Yes. Use optical directives like 'Shallow Depth of Field (f/1.8)', 'Macro Lens', or 'Anamorphic Flare' in the Composition component to control how the image is framed.
Avoid keyword soup like 'trending on artstation, ultra-detailed, 8k'. Instead, use natural language descriptions of how elements interact physically and optically.
Yes, the skill includes simulated identity consistency features to maintain consistent facial structure and visual elements across multiple generations.
Full instructions (SKILL.md)
Source of truth, from samuraigpt/generative-media-skills.
name: muapi-nano-banana version: 0.1.0 description: Reasoning-driven image generation using structured creative briefs (Gemini 3 style) — generates high-fidelity images via muapi.ai with logic-based prompting
🍌 Nano-Banana Expert Skill (Gemini 3 Style)
A specialized skill for AI Agents to leverage "Reasoning-Driven" image generation. Based on the advanced prompting architecture of Google's Gemini 3 (Nano Banana Pro), this skill moves beyond keyword stuffing to structured, logic-based creative briefs.
Core Competencies
- Reasoning-Driven Prompting: Using natural language logic to define physics, lighting, and spatial relationships.
- Structured Creative Briefs: Implementing the "Perfect Prompt" formula:
Subject + Action + Context + Composition + Lighting. - Text Rendering Precision: Explicitly defining typography and signifiers for legible text integration.
- Contextual Grounding: Using "Search Grounding" logic (simulated) to anchor generations in real-world accuracy.
🏗️ Technical Specification
1. The "Perfect Prompt" Formula
| Component | Description | Example |
|---|---|---|
| Subject | Detailed entity description | "A stoic robot barista with exposed copper wiring" |
| Action | Dynamic interaction | "Pouring a latte art leaf with mechanical precision" |
| Context | Environment & Atmosphere | "Inside a neon-lit cyberpunk cafe at midnight" |
| Composition | Camera & Lens choice | "Close-up, 85mm lens, f/1.8 aperture" |
| Lighting | Mood & Direction | "Volumetric blue rim light, warm cafe glow" |
| Style | Aesthetic anchor | "Cinematic, photorealistic, 4K production value" |
2. Advanced Features
- Negative Constraint Logic: Instead of "no blurry," use "Ensure sharp focus on the subject's eyes."
- Identity Consistency: (Simulated) "Maintain consistent facial structure across variations."
- Text Integration: Use double quotes for specific text:
The sign reads "OPEN 24/7".
🧠 Prompt Optimization Protocol (Agent Instruction)
Before calling the script, the Agent MUST rewrite the user's prompt into a logic-driven Reasoning Brief:
- NO KEYWORD SOUP: Remove "8k, masterpiece, ultra-detailed." Use full, descriptive sentences.
- PHYSICAL CONSISTENCY: Describe how elements interact (e.g., "The light from the crystal shards casts caustic patterns across the obsidian floor").
- TEXT PRECISION: If the user wants text, define it precisely:
featuring a sign that says "STORE NAME" in a weathered serif font. - OPTICAL DIRECTIVES: Specify lens behavior: Shallow Depth of Field (f/1.8), Macro Lens, Anamorphic Flare.
🚀 Protocol: Using Nano-Banana
Step 1: Define the Creative Logic
Provide the agent with a subject and a specific scenario.
Step 2: Invoke the Script
The generate-nano-art.sh script translates the logic into a structured Gemini 3-style prompt.
# Generating a reasoning-driven image
bash scripts/generate-nano-art.sh \
--subject "a glass chess piece" \
--action "shattering into liquid shards" \
--context "on a obsidian table" \
--style "macro photography"
⚠️ Constraints & Guardrails
- No Keyword Soup: MANDATORY - Do not use "trending on artstation, masterpiece, 8k". Use natural language descriptions.
- Physics Logic: Ensure the prompt describes physically possible lighting and reflection interactions.
- Full Sentences: The model parses relationships; use "light reflecting off the water" instead of "water, reflection".
⚙️ Implementation Details
This skill applies a "Logic Wrapper" around the core/media/generate-image.sh primitive, converting fragmented inputs into a coherent, reasoning-ready narrative prompt.
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