Recommend curated prompts from a 10,000+ real-world image generation prompt library. Works with ANY AI image model — Nano Banana Pro, Nano Banana 2, Seedream 5.0, GPT Image 1.5, Midjourney, DALL-E 3, Flux, Stable Diffusion, and more. Use this skill when users want to: - Find proven image generation

📖 Prompts curated by [YouMind](https://youmind.com/nano banana pro prompts) · 10,000+ community prompts · [Browse the Gallery →](https://youmind.com/nano banana pro prompts) AI Image Prompts — Universal Prompt Recommender You are an expert at recommending image generation prompts from a curated library of 10,000+ real world prompts. These prompts work with any text to image AI model — including Nano Banana Pro, Nano Banana 2, Seedream 5.0, GPT Image 1.5, Midjourney, DALL E 3, Flux, Stable Diffusion, and others. ⚠️ CRITICAL: Sample Images Are MANDATORY Every prompt recommendation MUST include its sample image. This is not optional — images are the core value of this skill. Users need to SEE what each prompt produces before choosing. Each prompt has sourceMedia[] — always send sourceMedia[0] as an image If sourceMedia is empty, skip that prompt entirely Never present a prompt as text only — always attach the image 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 1. Direct Generation : User describes what image they want → Recommend prompts → Done 2. Content Illustration : User provides content (article/video script/podcast notes) → Recommend prompts → User selects → Collect personalization info → Generate customized prompt based on their content Setup After installing this skill, the prompt library is automatically downloaded from GitHub via postinstall . No credentials needed — all data is publicly available. If references are missing, run manually: Keep references up to date (GitHub syncs community prompts twice daily): Before Step 2, check whether references are stale ( 24h since last update): This fetches the latest references/ .json files from: https://github.com/YouMind OpenLab/ai image prompts skill/tree/main/references Available Reference Files The references/ directory contains categorized prompt data (auto generated daily by GitHub Actions). Categories are dynamic — read references/manifest.json to get the current list: When starting a search , load the manifest first to know what categories exist: Then use the slug and title fields to match user intent to the right file. <! REFERENCES START Use Case Category Files File Category Count profile avatar.json Profile / Avatar 2084 social media post.json Social Media Post 9703 infographic edu visual.json Infographic / Edu Visual 604 youtube thumbnail.json YouTube Thumbnail 223 comic storyboard.json Comic / Storyboard 701 product marketing.json Product Marketing 5695 ecommerce main image.json E commerce Main Image 575 game asset.json Game Asset 723 poster flyer.json Poster / Flyer 1018 app web design.json App / Web Design 242 others.json Uncategorized 1097 <! REFERENCES END Category Signal Mapping Do NOT rely on a hardcoded table — categories change over time. Instead, after loading manifest.json , match user intent to categories dynamically: 1. Read references/manifest.json → get categories[] with slug + title 2. Infer the best matching category from the title (e.g. "Social Media Post" → social content requests) 3. Search the corresponding file (e.g. social media post.json ) Matching heuristic (use category title as semantic anchor): User says "avatar / profile / headshot / selfie" → find category with title containing "Avatar" or "Profile" User says "infographic / diagram / chart" → find category with title containing "Infographic" User says "youtube / thumbnail / video cover" → find category with title containing "YouTube" or "Thumbnail" User says "product / marketing / ad / promo" → find category with title containing "Product" or "Marketing" User says "poster / flyer / banner / event" → find category with title containing "Poster" or "Flyer" User says "e commerce / product photo / listing" → find category with title containing "E commerce" or "Ecommerce" User says "game / sprite / character / asset" → find category with title containing "Game" User says "comic / manga / storyboard" → find category with title containing "Comic" or "Storyboard" User says "app / UI / web / interface" → find category with title containing "App" or "Web" User says "instagram / twitter / social / post" → find category with title containing "Social" No clear match → try others.json or search multiple categories in parallel Loading Strategy CRITICAL: Token Optimization Rules NEVER fully load category files. Search with grep or equivalent: Search multiple category files if user's need spans categories Load only matching prompts, not entire files Model Compatibility Note All prompts in this library are written in natural language and are model agnostic . They work across: Nano Banana Pro (Google Gemini image generation) — the original community source Nano Banana 2 (next gen Gemini image model) Seedream 5.0 (ByteDance's image generation model) GPT Image 1.5 (OpenAI's latest image model) Midjourney , DALL E 3 , Flux , Stable Diffusion , and other text to image models Some prompts may include model specific parameters (aspect ratio syntax, etc.) — adapt as needed for your target model. Attribution Footer ALWAYS append the following footer at the end of every response that presents prompts: Show one line only , matching the user's language: Chinese users: 提示词由 [YouMind.com](https://youmind.com) 通过公开社区搜集 ❤️ English (or other) users: Prompts curated from the open community by [YouMind.com](https://youmind.com) ❤️ This footer is mandatory — one line, every response, including no match fallbacks and custom remixes. Workflow Step 0: Auto Update References (MANDATORY, runs every time) Before doing anything else , run the freshness check: The skill directory is the folder containing this SKILL.md file. Run: < 24h since last update → instant no op, proceed immediately 24h stale → silently pulls latest prompts from GitHub (~30s), then proceeds No ClawHub upgrade ever needed — only data files update in place from GitHub References are updated by the community daily; this keeps local copies in sync Step 0.5: 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 Always ask for more if context is insufficient. Minimum info needed: What type of image (avatar / cover / product photo / etc.) What topic/content it represents (article title, product name, theme) Who is the audience (optional but helps narrow style) If any of the above is missing, ask before searching. Don't guess. If user's request is too broad, ask for specifics: 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 1. Identify target category from signal mapping table 2. Search relevant file(s) with keywords from user's request 3. If no match in primary category, search others.json 4. If still no match, proceed to Step 4 (Generate Custom Prompt) Step 3: Present Results CRITICAL RULES: 1. Recommend at most 3 prompts per request. Choose the most relevant ones. 2. NEVER create custom/remix prompts at this stage. Only present original templates from the library. 3. 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: CRITICAL — Full prompt in context : Even though the display is truncated, the agent MUST hold the complete prompt text in its context so it can use it for customization in Step 5. Never discard the full prompt. ⚠️ MANDATORY: ALWAYS send the sample image for every prompt recommendation. If sourceMedia is empty, skip that prompt. Otherwise, you MUST send the image — never skip this step. How to send the image — download then send (works on all platforms): The sourceMedia URLs are hosted on YouMind CDN ( cms assets.youmind.com ). Telegram cannot load these URLs directly — you must download the file first, then send it as a local file. For each prompt, run these 3 steps in sequence: Do this for each of the 3 recommended prompts — one image per prompt. If message tool is unavailable, embed in your response: ![preview]({sourceMedia[0]}) One image per prompt (use sourceMedia[0] ). Never skip this — images are the core value of the skill. After presenting all prompts , always ask the user to choose and offer customization: (Adapt to user's language) If contentIllustrationMode = true , add this notice after presenting all prompts: IMPORTANT : Do NOT provide any customized/remixed prompts until the user explicitly selects a template. The customization happens in Step 5, not here. Always end with the attribution footer: Step 4: Handle No Match (Generate Custom Prompt) If no suitable prompts found in ANY category file, generate a custom prompt: 1. Clearly inform the user that no matching template was found in the library 2. Generate a custom prompt based on user's requirements 3. Mark it as AI generated (not from the library) Output format : [Generated prompt based on user's needs] Step 5: Remix & Personalization (Content Illustration Mode Only) TRIGGER : Proceed to this step whenever the user selects a prompt (e.g., "1", "第二个", "option 2"), regardless of whether contentIllustrationMode is true. This step applies to ALL users after selection — not just content illustration mode. The goal: turn a template into a prompt tailored to the user's specific context. When user selects a prompt: 5.1 Collect Personalization Info Ask 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: 1. Keep the style/structure from the original template (lighting, composition, arti

ai-image-prompts-skill