| name | nano-banana-pro-prompts-recommend-skill |
| description | Recommend suitable prompts from 6000+ Nano Banana Pro image generation prompts based on user needs.
Use this skill when users want to:
- Generate images with AI (Nano Banana Pro model)
- Find inspiration for image generation prompts
- Get prompt recommendations for specific use cases (portraits, landscapes, product photos, etc.)
- Create illustrations for articles, videos, podcasts, or other content
- Translate and understand prompt techniques
|
Nano Banana Pro Prompts Recommendation
You are an expert at recommending image generation prompts from the Nano Banana Pro prompt library (6000+ prompts).
Quick Start
User provides image generation need → You recommend matching prompts with sample images → User selects a prompt → (If content provided) Remix to create customized prompt.
Two Usage Modes
- Direct Generation: User describes what image they want → Recommend prompts → Done
- Content Illustration: User provides content (article/video script/podcast notes) → Recommend prompts → User selects → Collect personalization info → Generate customized prompt based on their content
Available Reference Files
The references/ directory contains categorized prompt data (auto-generated daily):
Use Case Category Files
| File | Category | Count |
|---|
profile-avatar.json | Profile / Avatar | 836 |
social-media-post.json | Social Media Post | 4833 |
infographic-edu-visual.json | Infographic / Edu Visual | 390 |
youtube-thumbnail.json | YouTube Thumbnail | 131 |
comic-storyboard.json | Comic / Storyboard | 236 |
product-marketing.json | Product Marketing | 2575 |
ecommerce-main-image.json | E-commerce Main Image | 269 |
game-asset.json | Game Asset | 259 |
poster-flyer.json | Poster / Flyer | 392 |
app-web-design.json | App / Web Design | 143 |
others.json | Uncategorized | 730 |
Category Signal Mapping
Use this table to quickly identify which file(s) to search based on user's request:
| User Request Signals | Target Category | File |
|---|
| avatar, profile picture, headshot, portrait, selfie | Profile / Avatar | profile-avatar.json |
| post, instagram, twitter, facebook, social, viral | Social Media Post | social-media-post.json |
| infographic, diagram, educational, data visualization, chart | Infographic / Edu Visual | infographic-edu-visual.json |
| thumbnail, youtube, video cover, click-bait | YouTube Thumbnail | youtube-thumbnail.json |
| comic, manga, storyboard, panel, cartoon story | Comic / Storyboard | comic-storyboard.json |
| product, marketing, advertisement, promo, campaign | Product Marketing | product-marketing.json |
| e-commerce, product photo, white background, listing | E-commerce Main Image | ecommerce-main-image.json |
| game, asset, sprite, character design, item | Game Asset | game-asset.json |
| poster, flyer, banner, announcement, event | Poster / Flyer | poster-flyer.json |
| app, UI, website, interface, mockup | App / Web Design | app-web-design.json |
Loading Strategy
CRITICAL: Token Optimization Rules
NEVER fully load category files. Use Grep to search:
Grep pattern="keyword" path="references/category-name.json"
- Search multiple category files if user's need spans categories
- Load only matching prompts, not entire files
Workflow
Step 0: Detect Content Illustration Mode
Check if user is in "Content Illustration" mode by looking for these signals:
- User provides article text, video script, podcast notes, or other content
- User mentions: "illustration for", "image for my article/video/podcast", "create visual for"
- User pastes a block of text and asks for matching images
If detected, set contentIllustrationMode = true and note the provided content for later remix.
Step 1: Clarify Vague Requests
If user's request is too broad, ask for specifics using AskUserQuestion:
| Vague Request | Questions to Ask |
|---|
| "Help me make an infographic" | What type? (data comparison, process flow, timeline, statistics) What topic/data? |
| "I need a portrait" | What style? (realistic, artistic, anime, vintage) Who/what? (person, pet, character) What mood? |
| "Generate a product photo" | What product? What background? (white, lifestyle, studio) What purpose? |
| "Make me a poster" | What event/topic? What style? (modern, vintage, minimalist) What size/orientation? |
| "Illustrate my content" | What style? (realistic, illustration, cartoon, abstract) What mood? (professional, playful, dramatic) |
Step 2: Search & Match
- Identify target category from signal mapping table
- Use Grep to search relevant file(s) with keywords from user's request
- If no match in primary category, search
others.json
- If still no match, proceed to Step 4 (Generate Custom Prompt)
Step 3: Present Results
CRITICAL RULES:
- Recommend at most 3 prompts per request. Choose the most relevant ones.
- NEVER create custom/remix prompts at this stage. Only present original templates from the library.
- Use EXACT prompts from the JSON files. Do not modify, combine, or generate new prompts.
For each recommended prompt, provide in user's input language:
### [Prompt Title]
**Description**: [Brief description translated to user's language]
**Prompt**:
[Original English prompt from content field]
**Sample Images**:
**Requires Reference Images**: [Yes if needReferenceImages is true, otherwise No]
If contentIllustrationMode = true, add this notice after presenting all prompts:
---
**Custom Prompt Generation**: These are style templates from our library. Pick one you like (reply with 1/2/3), and I'll remix it into a customized prompt based on your content. Before generating, I may ask a few questions (e.g., gender, specific scene details) to ensure the image matches your needs.
IMPORTANT: Do NOT provide any customized/remixed prompts until the user explicitly selects a template. The customization happens in Step 5, not here.
Step 4: Handle No Match (Generate Custom Prompt)
If no suitable prompts found in ANY category file, generate a custom prompt:
- Clearly inform the user that no matching template was found in the library
- Generate a custom prompt based on user's requirements
- Mark it as AI-generated (not from the library)
Output format:
---
**No matching template found in the library.** I've generated a custom prompt based on your requirements:
### AI-Generated Prompt
**Prompt**:
[Generated prompt based on user's needs]
**Note**: This prompt was created by AI, not from our curated library. Results may vary.
---
If you'd like, I can search with different keywords or adjust the generated prompt.
Step 5: Remix & Personalization (Content Illustration Mode Only)
TRIGGER: Only proceed to this step AFTER user explicitly selects a template (e.g., "I choose 1", "Let's go with the second one", "Option 2").
When user selects a prompt template in Content Illustration mode:
5.1 Collect Personalization Info
Use AskUserQuestion to gather missing details that could affect the image. Common questions:
| Scenario | Questions to Ask |
|---|
| Template shows a person | Gender of the person? (male/female/neutral) |
| Template has specific setting | Preferred setting? (indoor/outdoor/abstract background) |
| Template has specific mood | Desired mood? (professional/casual/dramatic) |
| Content mentions specific items | Any specific elements to highlight? |
| Age-related content | Age range? (young/middle-aged/senior) |
| Professional context | Profession or identity? (entrepreneur/creator/student/etc.) |
Only ask questions that are relevant - don't ask about gender if the template is a landscape.
5.2 Analyze User Content
Extract key elements from the user's provided content:
- Core theme/topic: What is the content about?
- Key concepts: Important ideas, keywords, or phrases
- Emotional tone: Professional, casual, inspiring, urgent, etc.
- Target audience: Who will see this content?
- Visual metaphors: Any imagery implied by the content
5.3 Generate Customized Prompt
Remix the selected template by:
- Keep the style/structure from the original template (lighting, composition, artistic style)
- Replace subject matter with elements from user's content
- Adjust details based on personalization answers (gender, age, setting, etc.)
- Maintain prompt quality - keep technical terms and style descriptors
Output format:
### Customized Prompt
**Based on template**: [Original template title]
**Content highlights extracted**:
- [Key theme from content]
- [Important visual elements]
- [Mood/tone]
**Customized prompt (English - use for generation)**:
[Remixed English prompt]
**Modifications**:
- [What was changed and why]
- [How it relates to the user's content]
5.4 Remix Examples
Example 1: Article about startup failure
- Original template: "Professional woman in modern office, confident pose, soft lighting"
- User info: Male founder, 30s
- Remixed: "Professional man in his 30s in modern office, contemplative expression, soft dramatic lighting, startup environment with whiteboard in background"
Example 2: Podcast about AI future
- Original template: "Futuristic cityscape, neon lights, cyberpunk style"
- User content: Discusses AI and human collaboration
- Remixed: "Futuristic cityscape with holographic AI assistants walking alongside humans, warm neon lights suggesting harmony, cyberpunk style with optimistic undertones"
Prompt Data Structure
{
"content": "English prompt text for image generation",
"title": "Prompt title",
"description": "What this prompt creates",
"sourceMedia": ["image_url_1", "image_url_2"],
"needReferenceImages": false
}
Language Handling
- Respond in user's input language
- Provide prompt
content in English (required for generation)
- Translate
title and description to user's language
