| name | prompt-engine |
| description | Ultimate AI prompt database and builder with 2,500+ curated prompts across 19 categories and 17 AI models (Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram, Adobe Firefly, and more). Search, build, enhance, and adapt prompts for image generation, video creation, text, and meta-prompt generators. Use when user says "prompt", "find a prompt", "build a prompt", "enhance my prompt", "adapt this prompt", "prompt library", "image prompt", "video prompt", "midjourney prompt", "flux prompt", or any AI prompt engineering task. Do NOT use for terminal/CLI prompts, JavaScript prompt() dialogs, user input prompts, or bash prompt customization.
|
Prompt Engine -- Ultimate AI Prompt Database and Builder
2,500+ curated prompts across 19 categories, 17 AI models, and 4 output types.
Quick Reference
| Command | What it does |
|---|
/prompt [query] | Search prompts by keyword, category, model, or style |
/prompt-build | Build a custom prompt from scratch with guided workflow |
/prompt-enhance | Enhance an existing prompt with pro techniques |
/prompt-adapt | Adapt a prompt for a different AI model |
/prompt-library | Browse, filter, and explore the full prompt library |
Orchestration Logic
- If user provides a search query or asks to find/search -> run search workflow below
- If user wants to create/build a new prompt -> route to
/prompt-build
- If user has an existing prompt to improve -> route to
/prompt-enhance
- If user wants to convert between models -> route to
/prompt-adapt
- If user wants to browse/explore -> route to
/prompt-library
- If ambiguous, show the Quick Reference table and ask
Search Workflow (Default /prompt)
When user provides a search query:
-
Run the search script:
python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "QUERY" [--category CAT] [--model MODEL] [--type TYPE] [--limit N]
-
Present results as a numbered list with:
- Prompt text (truncated to 200 chars for preview)
- Category, model, output type
- Tags/styles if available
-
Let user select a prompt to see full details, or refine their search
Error Handling
- 0 search results: Suggest broadening the query, trying different keywords, or removing filters. Offer to show available categories with
--categories.
- Script fails: Verify Python 3.10+ is available (
python3 --version). Check that the database exists at {PROMPT_ENGINE_DIR}/prompts/all_prompts.json.
- Empty or short prompt input: For
/prompt-enhance and /prompt-adapt, ask the user to provide a longer prompt (minimum 30 characters).
Database Stats
| Metric | Value |
|---|
| Total prompts | 2,503 |
| Categories | 19 |
| AI Models | 17 |
| Output types | Video (1,225), Image (1,049), Generator (115), Text (114) |
| Model coverage | 78% of prompts have model attribution |
| Sources | 11 Airtable databases |
Categories
| Category | Count | Description |
|---|
| fashion-editorial | 473 | Fashion, editorial, magazine shoots |
| video-general | 287 | Video-specific prompts |
| general | 221 | Multi-purpose prompts |
| portraits-people | 198 | Faces, characters, headshots |
| landscapes-nature | 180 | Mountains, oceans, forests, sunsets |
| abstract-backgrounds | 171 | Gradients, patterns, wallpapers |
| sci-fi-futuristic | 135 | Cyberpunk, robots, space, neon |
| architecture | 129 | Buildings, interiors, cityscapes |
| logos-icons | 116 | Logo design, icon sets, branding |
| generators | 115 | Meta-prompts that create prompts |
| text | 114 | Copywriting, content, storytelling |
| animated-3d | 92 | Pixar, 3D renders, anime |
| vehicles | 82 | Cars, motorcycles, racing |
| superheroes | 58 | Marvel, DC, superhero art |
| fantasy | 56 | Dragons, magic, medieval, mythical |
| products | 42 | Product photography, packshots |
| animals | 18 | Wildlife, pets, creatures |
| food-drink | 11 | Food photography, recipes |
| print-merchandise | 5 | T-shirts, stickers, merch |
Models
Top models: Midjourney (981), Leonardo AI (237), Freepik (172),
Mystic (166), Flux (137), Any Platform (97), DALL-E (42), Imagen (26),
Sora (24), ChatGPT (22).
Data Paths
- Prompt database:
{PROMPT_ENGINE_DIR}/prompts/
- Master file:
{PROMPT_ENGINE_DIR}/prompts/all_prompts.json
- Per-category:
{PROMPT_ENGINE_DIR}/prompts/{category}/prompts.json
- Stats:
{PROMPT_ENGINE_DIR}/prompts/stats.json
- Search script:
{PROMPT_ENGINE_DIR}/scripts/search_prompts.py
Reference Files
references/prompt-patterns.md -- Common prompt engineering patterns and structuresreferences/model-guide.md -- Model-specific syntax, features, and best practices
