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

1. If user provides a search query or asks to find/search -> run search workflow below
2. If user wants to create/build a new prompt -> route to /prompt-build
3. If user has an existing prompt to improve -> route to /prompt-enhance
4. If user wants to convert between models -> route to /prompt-adapt
5. If user wants to browse/explore -> route to /prompt-library
6. If ambiguous, show the Quick Reference table and ask

Search Workflow (Default /prompt)

When user provides a search query:

1. Run the search script:

   python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "QUERY" [--category CAT] [--model MODEL] [--type TYPE] [--limit N]
   

2. Present results as a numbered list with:

   • Prompt text (truncated to 200 chars for preview)
   • Category, model, output type
   • Tags/styles if available

3. 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 structures
• references/model-guide.md -- Model-specific syntax, features, and best practices