
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)
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
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
Reasoning-driven image generation using structured creative briefs (Gemini 3 style) — generates high-fidelity images via muapi.ai with logic-based prompting
npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-nano-bananaAdd your badge
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| Installs | 1.9k |
|---|---|
| repo stars | ★ 4k |
| Security audit | 3 / 3 scanners passed |
| Last updated | August 4, 2026 |
| Repository | samuraigpt/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
🍌 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
| 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:
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.