Skill 詳細
ai-image-prompts-skill
1万件以上の実世界の画像生成プロンプトライブラリから厳選されたプロンプトを推薦します。あらゆるテキストから画像へのモデルで動作し、サンプル画像も含みます。
使用前に確認
自動レビューは関連性のみを確認し、安全性や推奨を保証しません。使用前に出典の説明を読んでください。
SKILL.md
これはレビュー時に保存された抜粋です。完全で最新の内容は外部ソースを確認してください。
---
name: ai-image-prompts-skill
description: |
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 (any model)
- Get prompt inspiration for portraits, products, social media, posters, etc.
- Create illustrations for articles, videos, podcasts, or marketing content
- Browse categorized prompt templates with sample images
- Translate and understand prompt techniques
platforms:
- openclaw
- claude-code
- cursor
- codex
- gemini-cli
---
> 📖 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:
```bash
node scripts/setup.js
```
**Keep references up to date** (GitHub syncs community prompts twice daily):
```bash
# 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):
```bash
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:
```json
// 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:
```bash
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
| File | Category | Count |
|------|----------|-------|
| `profile-avatar.json` | Profile / Avatar | 2102 |
| `social-media-post.json` | Social Media Post | 9746 |
| `infographic-edu-visual.json` | InfoGitHub で全文を読む (外部ページ)