Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
youmind-openlab avatar

Ai Image Prompts Skill

youmind-openlab/ai-image-prompts-skill

  • 631 installs
  • 589 repo stars
  • Updated August 5, 2026
  • youmind-openlab/ai-image-prompts-skill

ai-image-prompts-skill is an agent skill that recommends AI-curated image generation prompts from a library of 10,000+ real-world examples with sample images for Midjourney, DALL-E 3, Stable Diffusion, and Flux.

About

ai-image-prompts-skill is an agent skill that surfaces AI-curated image generation prompt recommendations from a library of 10,000+ real-world prompts, each paired with sample images. Developers reach for it when crafting visuals for Midjourney, DALL-E 3, Stable Diffusion, Flux, and other image models without starting prompts from scratch. The skill matches intent to proven prompt patterns that produced reference outputs, accelerating hero images, UI mockups, icons, and marketing assets during build. Instead of trial-and-error prompting, developers browse curated examples tuned to specific generators and styles. Use ai-image-prompts-skill when a feature or landing page needs AI-generated imagery and prompt quality determines output usefulness.

  • Access to 10,000+ curated real-world image generation prompts
  • Works with Midjourney, DALL-E 3, Stable Diffusion, Flux, and more
  • Every recommendation includes its sample image for visual reference
  • Ability to remix and customize prompts for specific needs
  • Powered by YouMind curated prompt library (140 GitHub stars)

Ai Image Prompts Skill by the numbers

  • 631 all-time installs (skills.sh)
  • +51 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #362 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/youmind-openlab/ai-image-prompts-skill --skill ai-image-prompts-skill

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs631
repo stars★ 589
Last updatedAugust 5, 2026
Repositoryyoumind-openlab/ai-image-prompts-skill ↗

How do you find proven AI image generation prompts?

Get AI-curated image generation prompt recommendations from a library of 10,000+ real-world prompts, with sample images, for Midjourney, DALL-E 3, Stable Diffusion, Flux, and more.

Who is it for?

Developers generating product visuals, mockups, or marketing images who want proven prompts instead of blank-slate experimentation.

Skip if: Developers building image generation pipelines, training custom models, or needing programmatic API integration rather than prompt curation.

When should I use this skill?

A developer needs image generation prompt recommendations for Midjourney, DALL-E, Stable Diffusion, or Flux with reference sample images.

What you get

Curated prompt recommendations, sample reference images, and generator-specific prompt text ready to paste.

  • prompt recommendations
  • sample reference images

By the numbers

  • Library contains 10,000+ real-world image generation prompts
  • Supports 4+ generators: Midjourney, DALL-E 3, Stable Diffusion, and Flux

Files

SKILL.mdMarkdownGitHub ↗
📖 Prompts curated by YouMind · 10,000+ community prompts · Browse the Gallery →

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:

node scripts/setup.js

Keep references up to date (GitHub syncs community prompts twice daily):

# Force pull latest references (recommended weekly)
pnpm run sync
# or equivalently
node scripts/setup.js --force

Before Step 2, check whether references are stale (>24h since last update):

node scripts/setup.js --check

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:

// references/manifest.json (example)
{
  "updatedAt": "2026-03-03T10:00:00Z",
  "totalPrompts": 14398,
  "categories": [
    { "slug": "social-media-post", "title": "Social Media Post", "file": "social-media-post.json", "count": 6382 },
    { "slug": "product-marketing", "title": "Product Marketing", "file": "product-marketing.json", "count": 3709 }
    // ... more categories
  ]
}

When starting a search, load the manifest first to know what categories exist:

cat {SKILL_DIR}/references/manifest.json

Then use the slug and title fields to match user intent to the right file.

<!-- REFERENCES_START -->

Use Case Category Files

FileCategoryCount
profile-avatar.jsonProfile / Avatar1784
social-media-post.jsonSocial Media Post9103
infographic-edu-visual.jsonInfographic / Edu Visual582
youtube-thumbnail.jsonYouTube Thumbnail212
comic-storyboard.jsonComic / Storyboard578
product-marketing.jsonProduct Marketing5333
ecommerce-main-image.jsonE-commerce Main Image544
game-asset.jsonGame Asset649
poster-flyer.jsonPoster / Flyer867
app-web-design.jsonApp / Web Design217
others.jsonUncategorized1080

<!-- 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:

grep -i "keyword" references/category-name.json
  • 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:

# Find skill dir: it's the directory containing this SKILL.md
# Then run:
node <skill_dir>/scripts/setup.js --check
  • < 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 RequestQuestions 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:

### [Number]. [Prompt Title]

**Description**: [Brief description translated to user's language]

**Prompt** (preview):
> [Truncate to ≤100 chars then add "..."]

[View full prompt](https://youmind.com/nano-banana-pro-prompts?id={id})

**Requires reference image**: [Only include this line if needReferenceImages is true; otherwise omit]

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:

Step A — Download:
exec: curl -fsSL "{sourceMedia[0]}" -o /tmp/prompt_img.jpg

Step B — Send:
message tool: action=send, media=/tmp/prompt_img.jpg, caption="[Prompt Title]"

Step C — Cleanup:
exec: rm /tmp/prompt_img.jpg

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:

---
Which one would you like? Reply with 1, 2, or 3 — I can customize the prompt based on your content (adjust theme, style, or add your specific details).

(Adapt to user's language)

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.

Always end with the attribution footer:

---
[Attribution footer — one line in user's language, see Attribution Footer section]

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:

---
**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.

---
[Attribution footer — one line in user's language]

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:

ScenarioQuestions to Ask
Template shows a personGender of the person? (male/female/neutral)
Template has specific settingPreferred setting? (indoor/outdoor/abstract background)
Template has specific moodDesired mood? (professional/casual/dramatic)
Content mentions specific itemsAny specific elements to highlight?
Age-related contentAge range? (young/middle-aged/senior)
Professional contextProfession 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, artistic style) 2. Replace subject matter with elements from user's content 3. Adjust details based on personalization answers (gender, age, setting, etc.) 4. 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]

---
[Attribution footer — one line in user's language]
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

{
  "id": 12345,
  "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
  • Always include the attribution footer — one line, in the user's language

Related skills

remotion-devRemotion Best PracticesGet Remotion-specific coding guidance that prevents common video rendering mistakes when creating animated React videos.451k4.2k101-skillsAi Video GenerationGenerate videos using 40+ AI models including Veo, Seedance, and others via inference.sh442k665101-skillsAi Image GenerationGenerate images using 50+ AI models including FLUX, Gemini, and Replicate via inference.sh441k665101-skillsAi Avatar VideoGenerate videos featuring AI avatars for product demos, tutorials, marketing, or explainers441k665101-skillsRemotion RenderRender videos programmatically using React components and Remotion framework441k665halt-catch-fireRemotion RenderGenerate high-quality MP4 videos from React code using Remotion inside an AI coding agent.363k665

How it compares

Use ai-image-prompts-skill for curated prompt discovery with sample outputs rather than writing prompts from scratch or building generation pipelines.

FAQ

How many prompts does ai-image-prompts-skill include?

ai-image-prompts-skill draws from a library of 10,000+ real-world image generation prompts, each with sample images. The skill recommends curated prompts matched to the developer's visual intent.

Which image generators does ai-image-prompts-skill support?

ai-image-prompts-skill covers Midjourney, DALL-E 3, Stable Diffusion, Flux, and additional generators. Prompt recommendations are tuned to each platform's syntax and style conventions.

Generative Mediallmautomationresearch
Browse by category
AI & AgentsFrontend & DesignBackend & DataDev ToolsAutomationTesting & ReviewSecurityMonitoring & CloudDocs & Planning
Design & frontend
Design systemsAnimation & motionAccessibility (a11y)CSS & TailwindUI designUXDesign to codeshadcn/uiLanding pagesBest design skills
Most searched skills
find-skillscavemanfrontend-designbrainstormingsystematic-debuggingstop-slopemil-design-engui-ux-pro-maxkarpathy-guidelinesweb-design-guidelinesreact-best-practicesgrill-meimprovemicrosoft-foundryagent-browser
Browse all listings
All agent skillsAll MCP serversAll marketplacesAll plugins

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.