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muapi-nano-banana

@samuraigpt · 收录于 1 周前 · 上游提交 3 周前

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

/ 下载安装
muapi-nano-banana.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add samuraigpt/generative-media-skills/muapi-nano-banana
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- samuraigpt/generative-media-skills/muapi-nano-banana
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify samuraigpt/generative-media-skills/muapi-nano-banana
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 a1c4c98 · 表述以原文为准
它做什么

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。

什么时候触发

当你要求生成图片,或描述一个场景、物体时触发。

装好后可以这样说
Claude 会按结构化简报生成提示词并调用脚本。
Claude 会添加物理逻辑和镜头参数。
技能原文 SKILL.md作者撰写 · MIT · a1c4c98

🍌 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.

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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