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Muapi Nano Banana

  • 1.9k installs
  • 4k repo stars
  • Updated August 4, 2026
  • samuraigpt/generative-media-skills

muapi-nano-banana is an agent skill for generate high-fidelity images from structured creative briefs via muapi.ai reasoning prompts.

About

The muapi-nano-banana skill is designed for generate high-fidelity images from structured creative briefs via muapi.ai reasoning prompts. 🍌 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. Invoke when the user generates images with structured creative briefs through muapi.ai.

  • 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".
  • Physics Logic: Ensure the prompt describes *physically possible* lighting and reflection interactions.

Muapi Nano Banana by the numbers

  • 1,949 all-time installs (skills.sh)
  • +176 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #153 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

muapi-nano-banana capabilities & compatibility

Capabilities
negative constraint logic: instead of "no blurry · identity consistency: (simulated) "maintain cons · text integration: use double quotes for specific · physics logic: ensure the prompt describes *phys
Use cases
frontend
From the docs

What muapi-nano-banana says it does

Reasoning-driven image generation using structured creative briefs (Gemini 3 style) — generates high-fidelity images via muapi.ai with logic-based prompting
SKILL.md
Reasoning-driven image generation using structured creative briefs (Gemini 3 style) — generates high-fidelity images via muapi.ai with logic-based prompting
SKILL.md
npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-nano-banana

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Listed on Skillselion
Installs1.9k
repo stars4k
Security audit3 / 3 scanners passed
Last updatedAugust 4, 2026
Repositorysamuraigpt/generative-media-skills

How do I generate high-fidelity images from structured creative briefs via muapi.ai reasoning prompts?

Generate high-fidelity images from structured creative briefs via muapi.ai reasoning prompts.

Who is it for?

Creators using logic-based briefs for Gemini-style image generation workflows.

Skip if: Skip for video generation or logo-only geometric mark tasks.

When should I use this skill?

User generates images with structured creative briefs through muapi.ai.

What you get

Completed muapi-nano-banana workflow with documented commands, files, and expected deliverables.

  • Structured creative brief
  • Reasoning-driven image prompt
  • Generated marketing or UI visual

By the numbers

  • Skill version 0.1.0 in samuraigpt/generative-media-skills
  • Based on Gemini 3 Nano Banana Pro structured prompting architecture

Files

SKILL.mdMarkdownGitHub ↗

🍌 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

1. Reasoning-Driven Prompting: Using natural language logic to define physics, lighting, and spatial relationships. 2. Structured Creative Briefs: Implementing the "Perfect Prompt" formula: Subject + Action + Context + Composition + Lighting. 3. Text Rendering Precision: Explicitly defining typography and signifiers for legible text integration. 4. Contextual Grounding: Using "Search Grounding" logic (simulated) to anchor generations in real-world accuracy.

---

🏗️ Technical Specification

1. The "Perfect Prompt" Formula

ComponentDescriptionExample
SubjectDetailed entity description"A stoic robot barista with exposed copper wiring"
ActionDynamic interaction"Pouring a latte art leaf with mechanical precision"
ContextEnvironment & Atmosphere"Inside a neon-lit cyberpunk cafe at midnight"
CompositionCamera & Lens choice"Close-up, 85mm lens, f/1.8 aperture"
LightingMood & Direction"Volumetric blue rim light, warm cafe glow"
StyleAesthetic 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:

1. NO KEYWORD SOUP: Remove "8k, masterpiece, ultra-detailed." Use full, descriptive sentences. 2. PHYSICAL CONSISTENCY: Describe how elements interact (e.g., "The light from the crystal shards casts caustic patterns across the obsidian floor"). 3. TEXT PRECISION: If the user wants text, define it precisely: featuring a sign that says "STORE NAME" in a weathered serif font. 4. 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.

Related skills

How it compares

Choose muapi-nano-banana when image briefs need structured logic and muapi.ai output rather than generic one-line DALL-E prompts.

FAQ

What does muapi-nano-banana do?

Generate high-fidelity images from structured creative briefs via muapi.ai reasoning prompts.

When should I use muapi-nano-banana?

User generates images with structured creative briefs through muapi.ai.

Is muapi-nano-banana safe to install?

Review the Security Audits panel on this page before installing in production.

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