promptor
Nano Banana 2 Promptor
Generate optimized image generation prompts for Nano Banana 2 (Gemini 3.1) from natural conversation context. The skill analyzes what the user wants, applies design intelligence, and outputs a structured JSON prompt ready to paste into Nano Banana 2.
Why This Skill Exists
Nano Banana 2 is a thinking model — it understands creative intent, physics, and composition. It responds dramatically better to narrative descriptions than keyword lists. This skill bridges the gap between what users want ("a cool t-shirt design") and what Nano Banana 2 needs (a richly detailed, design-informed narrative prompt).
Core Pipeline
1. CONTEXT PARSER → detect/infer dimensions from any input format
2. CATEGORY ROUTER → POD path or Commercial path
3. PROMPT COMPOSER → narrative prompt with design intelligence
4. JSON OUTPUT → structured output ready for use
Step 1: Parse Context
Accept ANY input format — free-form text, structured fields, or minimal keywords. Extract these 8 dimensions:
| Dimension | What to detect | Inference when missing |
|---|---|---|
| subject | The core product/object/concept | Required — ask if truly ambiguous |
| category | One of the 10 categories below | Infer from subject + purpose |
| audience | Target demographic/psychographic | Infer from subject + style |
| purpose | What the image is for (platform/use) | Default: "general commercial use" |
| style_hints | Any style/aesthetic direction | Infer via context (see Style Inference) |
| text_content | Text to render in the image | None unless specified |
| brand_voice | Tone/personality | Infer from style + audience |
| constraints | What to avoid or must include | None unless specified |
10 Supported Categories
| Category | Triggers on |
|---|---|
product_hero |
Product shots, studio photography, hero images |
lifestyle |
Products in real-world settings, contextual scenes |
social_media |
Instagram, Facebook, Pinterest, TikTok content |
pod_tshirt |
T-shirt designs, apparel graphics |
pod_mug |
Mug designs, drinkware, wrap-around |
pod_poster |
Posters, wall art, fine art prints |
pod_accessories |
Phone cases, tote bags, stickers |
marketing_banner |
Web banners, email headers, ad creatives |
infographic |
Data visuals, comparison charts, bento grids |
logo_brand |
Logos, brand marks, icons |
Style Inference
When the user provides no style direction, infer the optimal style from context:
For POD categories — read references/niche-modules.md and select the closest niche module based on subject + audience. The niche module defines typography, color, composition, and motif rules. If no niche fits cleanly, default to the niche that best matches the audience's identity signal.
For commercial categories — default to clean, professional photography aesthetic with modern composition. Match platform conventions (Instagram = vibrant/scroll-stopping, LinkedIn = professional, Pinterest = aspirational).
Step 2: Route by Category
POD Path (pod_tshirt, pod_mug, pod_poster, pod_accessories)
For POD categories, apply design intelligence from the reference files:
- Read
references/niche-modules.md— select the matching niche module and apply its rules for color limits, negative space targets, typography, composition, and motifs - Read
references/design-principles.md— apply core design philosophy principles - Generate a mini design philosophy (2-3 sentences) — a poetic aesthetic direction inspired by the subject/audience that guides the visual tone. Think of it as naming a tiny art movement. Example: "Neon Nostalgia — vivid retro-futurism meets handcrafted warmth, where each element appears labored over with master-level care."
- Apply the One Idea Principle — the design must communicate exactly ONE thing. If the context implies multiple competing ideas, distill to the strongest single concept.
- Set background rule — Nano Banana 2 cannot generate transparent backgrounds. Instead:
- If design is predominantly dark → use pure solid white background (#FFFFFF)
- If design is light/colorful → use pure solid black background (#000000)
- Always add: "clean isolated background with sharp edges, no gradients, no ambient shadows, no noise — optimized for AI background removal"
Commercial Path (product_hero, lifestyle, social_media, marketing_banner, infographic, logo_brand)
For commercial categories, apply Nano Banana 2 prompting best practices:
- Read
references/prompt-patterns.md— select camera specs, lighting setups, and composition patterns for the category - Set platform-specific aspect ratio:
- Instagram feed: 4:5
- Instagram story / TikTok: 9:16
- Facebook ad: 1:1 or 4:5
- Pinterest: 2:3
- Web banner: 16:9 or 21:9
- Email header: 3:1
- General: 4:3 or 16:9
- For product_hero — add camera hardware language (e.g., "Sony A7III, 85mm f/1.4, studio softbox lighting") as this dramatically improves photorealistic output
- For marketing_banner — reserve negative space for text overlay, describe composition zones explicitly
- For lifestyle — add environmental storytelling, atmospheric lighting, contextual props
Step 3: Compose the Prompt
Assemble a narrative-style prompt (not keyword lists). Nano Banana 2 is a thinking model — it performs dramatically better with descriptive paragraphs that explain creative intent.
Prompt Formula
[STYLE DECLARATION] + [SUBJECT DESCRIPTION] + [SETTING/ENVIRONMENT] +
[COMPOSITION & HIERARCHY] + [LIGHTING] + [TYPOGRAPHY if any] +
[TECHNICAL SPECS] + [CONSTRAINTS]
Writing Rules
- Narrative over keywords: "Create a dark gothic illustration of a highly detailed skull intertwined with blooming roses" beats "skull, roses, gothic, dark, detailed, illustration"
- Specific over vague: "weathered ceramic coffee mug with visible glaze cracks" beats "old mug"
- Camera language for realism: Include lens focal length, aperture, camera model when photorealistic output is needed
- Film stock as shorthand: "Shot on Kodak Portra 400" triggers warm tones + fine grain
- Text in quotes: Any text to render in the image must be wrapped in quotation marks with font description:
"STAY WILD" in bold condensed sans-serif font, ALL-CAPS - Design hierarchy language: Describe what the viewer sees first, second, third — this maps to the three-level visual hierarchy (primary 40-60%, secondary 25-35%, tertiary 15-25%)
- Craftsmanship emphasis: For POD designs, include language like "meticulously crafted", "painstaking attention to detail", "master-level execution" — this pushes Nano Banana 2 toward higher quality output
- Prompt length: Aim for 100-250 words. Enough detail to guide the model, not so much that it gets confused.
Anti-Pattern Guards
Before finalizing the prompt, verify it does NOT contain:
- Multiple competing focal points with no hierarchy (the "Shouting Match")
- More elements than the niche allows (the "Kitchen Sink")
- Keyword-stuffed quality modifiers like "4k, ultra HD, masterpiece, best quality" (Nano Banana 2 ignores these; use narrative instead)
- Requests for transparent backgrounds (not supported — use solid bg)
- Conflicting style directions ("vintage but also modern and futuristic")
Step 4: Output JSON
Always output in this exact structure:
{
"context_analysis": {
"detected": {
"subject": "what was explicitly stated",
"category": "detected category",
"audience": "detected or null",
"purpose": "detected or null",
"style_hints": "detected or null",
"text_content": "detected or null",
"brand_voice": "detected or null",
"constraints": ["detected constraints"]
},
"inferred": {
"niche_module": "selected niche or null (POD only)",
"color_system": "inferred palette description",
"composition_template": "selected composition approach",
"negative_space_target": "percentage",
"typography_style": "font direction if applicable",
"aspect_ratio": "W:H",
"resolution": "4K",
"background": "solid black/white + reasoning (POD only)"
},
"design_philosophy": "2-3 sentence mini art movement (POD only, null for commercial)"
},
"prompt_components": {
"style": "visual style declaration",
"subject": "detailed subject description",
"setting": "environment/background description",
"composition": "layout, hierarchy, eye flow",
"typography": "text rendering instructions or null",
"lighting": "lighting setup description",
"technical": "aspect ratio, resolution, background",
"constraints": "what to avoid"
},
"assembled_prompt": "The complete, ready-to-use narrative prompt combining all components into flowing paragraphs. This is what gets pasted directly into Nano Banana 2.",
"metadata": {
"model_target": "nano_banana_2",
"aspect_ratio": "W:H",
"resolution": "4K",
"category": "the category",
"niche_module": "if applicable",
"design_rules_applied": ["list of rules that shaped this prompt"]
}
}
Reference Files
These contain detailed domain knowledge. Read them as needed based on the category:
references/niche-modules.md
Read when: category is any POD type Contains: 10 niche modules (streetwear premium, streetwear hype, anime, rock/metal, hip-hop, skate/surf, vintage/retro, luxury gothic, pop culture, minimalist) with specific rules for typography, color limits, negative space, composition, motifs, and production. Also contains the niche selection decision tree.
references/prompt-patterns.md
Read when: any category (but especially commercial path) Contains: Nano Banana 2 specific prompting formulas, camera/lens specifications by category, lighting setups, platform aspect ratios, text rendering rules, and example prompts for each category.
references/design-principles.md
Read when: category is any POD type Contains: The design philosophy generation system, core mindset rules, visual hierarchy framework, composition systems, anti-patterns with diagnoses, and the One Idea Principle. Distilled from validated streetwear brand analysis.
Important Reminders
- Nano Banana 2 is a THINKING model. Write prompts that explain intent, not just list attributes.
- For POD: always use solid background (black or white) for easy AI removal. Never say "transparent background."
- The assembled_prompt should be a cohesive narrative, not a concatenation of the components.
- Quality comes from specificity and design intelligence, not from quality modifier keywords.
- When in doubt about style, lean toward strategic restraint — "premium design whispers, amateur design shouts."