muapi-nano-banana
Reasoning-driven image generation using structured creative briefs (Gemini 3 style) — generates high-fidelity images via muapi.ai with logic-based prompting
适合你,如果需要通过逻辑提示词生成高保真图片
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
~/.claude/skills/(项目级 .claude/skills/)~/.codex/skills/npx oh-my-skill add samuraigpt/generative-media-skills/muapi-nano-bananacurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- samuraigpt/generative-media-skills/muapi-nano-banananpx oh-my-skill verify samuraigpt/generative-media-skills/muapi-nano-banana怎么用
商店整理自技能原文 · 版本 a1c4c98 · 表述以原文为准装上后,Claude 会使用结构化创意简报(主题+动作+环境+构图+光照+风格)生成高质量图片,并自动优化提示词,避免关键词堆砌,确保物理一致性和文字精准。
当你要求生成图片,或描述一个场景、物体时触发。
技能原文 SKILL.md
🍌 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.